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Data Engineering Leader
60684 Chicago, Illinois
Deloitte
Posted today
Job Viewed
Job Description
As a Data Engineering Leader you will serve as both the visionary architect and driving force behind our data strategy-shaping the roadmap and leading its successful implementation. Your impact will span the entire organization, with a focus on managing core data platforms, enabling efficient data sharing, and maintaining a secure, high-performance data integration landscape. In this hands-on leadership role, you will set the standard for excellence, actively participating in high-impact projects and guiding engineering teams by example. You will mentor and inspire others, fostering a culture of innovation and continuous improvement. Success in this position requires a deep expertise in Data Management platforms and ETL/ELT technologies, combined with strong leadership skills and a genuine passion for advancing data-driven solutions. The ideal candidate will be a collaborative partner and trusted mentor, working closely with cross-functional teams to design, develop, and deploy sophisticated data software solutions that elevate our business.
Recruiting for this role ends on November 17, 2025.
Key Responsibilities:
+ Strategic Vision and Alignment: Craft and articulate a vision for Data Management & Enteprise Integraton technologies as it specifically applies to the product engineering teams in alignment with the US Deloitte Technology Data strategy. Collaborate with diverse stakeholders, including product, engineering, experience, delivery, security, and infrastructure teams.
+ Advocacy and Technology Roadmap: Advocate for, develop, and communicate the Data Management/Enteprise Integratons implementation approach to the product engineering teams. Ensure the organization is well-informed about objectives, KPIs, technology roadmaps, and progress.
+ Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of KPIs. Establish and evolve Data Management & Enteprise Integratons domain standards and best practices. Actively be hands-on with design, architecture, and code most of the time, contributing to team velocity, and be actively engaged with engineers across SSDLC. Review code, drive tech debt reduction, and experiment with new tech.
+ Capability Evolution and Development: Mentor and develop engineers. Coach and develop skills in modern engineering practices, related to Data Management & Enteprise Integratons. Showcase learning and mastery by showcasing experiments internally, speaking at conferences, writing whitepapers or blogs, and leading R&D collaborations.
+ Iterative Value Delivery: Embrace an iterative/incremental approach to product engineering. Apply a learning-forward approach to navigate complexity and uncertainty. Ensure alignment with customer and business goals through iterative steps and empirical evidence.
+ Customer-Centric Problem Solving: Focus on addressing critical issues faced by customers and users. Align technical solutions with business objectives. Minimize unnecessary technical complexities and overengineering. Drive teams toward peak performance through continuous learning and improvement.
+ Expert Proficiency and Continuous Improvement: Possess deep expertise in modern software engineering practices. Identify inefficiencies and opportunities for innovation. Enhance the product engineering operating model to be lean and adaptable. Guide and transform the organization to embrace lean principles and foster a culture of innovation.
+ Tech/Quality Risk Management: Ensure appropriate technology use and adoption by engineers. Develop and implement explainable, scalable, reliable, and secure products. Inspire experimentation and quality of code. Identify potential technical risks and develop mitigation strategies.
+ Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs supported by evidence.
+ Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization. Build collaborative and constructive relationships. Co-create and drive momentum and value across multiple organizational levels.
The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
The successful candidate will possess:
+ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
Required Qualifications:
+ A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
+ Minimum 10 years of experience in data management, data governance, data structures, database systems, and data modeling.
+ Minimum 5 years of experience in managing big data of various forms with data platforms such as SAP HANA, Databricks, Snowflake or other industry leading data platforms to generate insights and create intelligence.
+ Minimum 3 years of experience with cloud hyperscalers like AWS, Azure, or GCP to build cloud-native applications.
+ Minimim 2 years of experience leading and managing high-performing data engineering teams.
+ Minimim 1 year of experience with AI/ML and GenAI.
+ Prior experience implementing advanced data architectures that include zero-copy data sharing, data lakes and modern ELT strategies.
+ Prior experience in modern software engineering practices, including deployment techniques such as Blue-Green and Canary to support A/B testing strategies.
+ Prior software engineering experience with an understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations.
+ Prior experience using methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly.
+ Prior experience managing teams through complex transformation projects, especially focused on migrating from one data technology platform to another.
+ Prior experience working with, managing and mentoring multi-national teams across global time zones and cultures.
+ Prior experience creating a multi-year data strategy in support of organizational data and analytics needs.
Other:
+ Ability to travel 10%, on average, based on the work you do and products you build.
+ Limited immigration sponsorship may be available.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,900 - $268,700.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
Recruiting for this role ends on November 17, 2025.
Key Responsibilities:
+ Strategic Vision and Alignment: Craft and articulate a vision for Data Management & Enteprise Integraton technologies as it specifically applies to the product engineering teams in alignment with the US Deloitte Technology Data strategy. Collaborate with diverse stakeholders, including product, engineering, experience, delivery, security, and infrastructure teams.
+ Advocacy and Technology Roadmap: Advocate for, develop, and communicate the Data Management/Enteprise Integratons implementation approach to the product engineering teams. Ensure the organization is well-informed about objectives, KPIs, technology roadmaps, and progress.
+ Craft Mastery and Objectives Realization: Define, measure, and drive the achievement of KPIs. Establish and evolve Data Management & Enteprise Integratons domain standards and best practices. Actively be hands-on with design, architecture, and code most of the time, contributing to team velocity, and be actively engaged with engineers across SSDLC. Review code, drive tech debt reduction, and experiment with new tech.
+ Capability Evolution and Development: Mentor and develop engineers. Coach and develop skills in modern engineering practices, related to Data Management & Enteprise Integratons. Showcase learning and mastery by showcasing experiments internally, speaking at conferences, writing whitepapers or blogs, and leading R&D collaborations.
+ Iterative Value Delivery: Embrace an iterative/incremental approach to product engineering. Apply a learning-forward approach to navigate complexity and uncertainty. Ensure alignment with customer and business goals through iterative steps and empirical evidence.
+ Customer-Centric Problem Solving: Focus on addressing critical issues faced by customers and users. Align technical solutions with business objectives. Minimize unnecessary technical complexities and overengineering. Drive teams toward peak performance through continuous learning and improvement.
+ Expert Proficiency and Continuous Improvement: Possess deep expertise in modern software engineering practices. Identify inefficiencies and opportunities for innovation. Enhance the product engineering operating model to be lean and adaptable. Guide and transform the organization to embrace lean principles and foster a culture of innovation.
+ Tech/Quality Risk Management: Ensure appropriate technology use and adoption by engineers. Develop and implement explainable, scalable, reliable, and secure products. Inspire experimentation and quality of code. Identify potential technical risks and develop mitigation strategies.
+ Influential Communication: Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs supported by evidence.
+ Organizational Engagement and Collaboration: Engage stakeholders at all levels of the organization. Build collaborative and constructive relationships. Co-create and drive momentum and value across multiple organizational levels.
The team: US Deloitte Technology Product Engineering has modernized software and product delivery, creating a scalable, cost-effective model that focuses on value/outcomes that leverages a progressive and responsive talent structure. As Deloitte's primary internal development team, Product Engineering delivers innovative digital solutions to businesses, service lines, and internal operations with proven bottom-line results and outcomes. It helps power Deloitte's success. It is the engine that drives Deloitte, serving many of the world's largest, most respected companies. We develop and deploy cutting-edge internal and go-to-market solutions that help Deloitte operate effectively and lead in the market. Our reputation is built on a tradition of delivering with excellence.
The successful candidate will possess:
+ Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.
Required Qualifications:
+ A bachelor's degree in computer science, software engineering, or a related discipline. Experience is the most relevant factor.
+ Minimum 10 years of experience in data management, data governance, data structures, database systems, and data modeling.
+ Minimum 5 years of experience in managing big data of various forms with data platforms such as SAP HANA, Databricks, Snowflake or other industry leading data platforms to generate insights and create intelligence.
+ Minimum 3 years of experience with cloud hyperscalers like AWS, Azure, or GCP to build cloud-native applications.
+ Minimim 2 years of experience leading and managing high-performing data engineering teams.
+ Minimim 1 year of experience with AI/ML and GenAI.
+ Prior experience implementing advanced data architectures that include zero-copy data sharing, data lakes and modern ELT strategies.
+ Prior experience in modern software engineering practices, including deployment techniques such as Blue-Green and Canary to support A/B testing strategies.
+ Prior software engineering experience with an understanding of Business Context Diagrams (BCD), sequence/activity/state/entity relationship/data flow diagrams, OOP/OOD, data structures, algorithms, and code instrumentations.
+ Prior experience using methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, etc. to deliver high-quality products rapidly.
+ Prior experience managing teams through complex transformation projects, especially focused on migrating from one data technology platform to another.
+ Prior experience working with, managing and mentoring multi-national teams across global time zones and cultures.
+ Prior experience creating a multi-year data strategy in support of organizational data and analytics needs.
Other:
+ Ability to travel 10%, on average, based on the work you do and products you build.
+ Limited immigration sponsorship may be available.
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $130,900 - $268,700.
You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.
Information for applicants with a need for accommodation: qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.
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0
Sr. Consultant, Data Engineering
60684 Chicago, Illinois
IBM
Posted 3 days ago
Job Viewed
Job Description
**Introduction**
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
**Your role and responsibilities**
We are looking for motivated people who are experienced with building data warehouses and analytics systems in the cloud (AWS, Azure, GCP, Snowflake).
What we are looking for:
We are looking for a Sr. Consultant, Data Engineer to join our growing team of experts. This position will work in the design and development of Snowflake Data Cloud solutions. The work includes data ingestion pipelines, data architecture, data governance and security. The ideal candidate is an experienced data pipeline builder and migrations who enjoys optimizing data systems and building them from the ground up.
The Sr. Consultant, Data Engineer will develop database architectures, data warehouses and will ensure optimal data delivery architecture is consistent throughout ongoing customer projects. On this role you will be leading technical teams. The right candidate will be excited by the prospect of working for a start-up company to support our customers' next generation of data initiatives.
As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity
This role can be performed from anywhere in the US
**Required technical and professional expertise**
* Bachelor's degree in engineering, computer science or equivalent area.
* Expertise in evaluating, selecting, and integrating ingestion technologies to solve complex data challenges.
* Leadership in architectural decisions for high-throughput data ingestion frameworks, including real-time data processing and analytics.
* Mentorship of junior engineers in best practices for data ingestion, performance tuning, and troubleshooting.
* 5+yrs in related technical roles, data management, database development, ETL,Data - - Warehouses and pipelines.
* Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark)
* Experience building ETL / ELT ingestion pipelines with tools like DataStage, Informatica, Matillion
* SQL scripting
* Cloud experience on AWS (Azure, GCP are nice to have as well)
* Python Scripting, Scala is required.
* Ability to prepare reports and present to internal and customer stakeholders
* Track record of sound problem solving skills and action oriented mindset
* Strong interpersonal skills including assertiveness and ability to build strong client relationships
* Ability to work in Agile teams
* Experience hiring, developing and managing a technical team
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
At IBM, work is more than a job - it's a calling: To build. To design. To code. To consult. To think along with clients and sell. To make markets. To invent. To collaborate. Not just to do something better, but to attempt things you've never thought possible. Are you ready to lead in this new era of technology and solve some of the world's most challenging problems? If so, lets talk.
**Your role and responsibilities**
We are looking for motivated people who are experienced with building data warehouses and analytics systems in the cloud (AWS, Azure, GCP, Snowflake).
What we are looking for:
We are looking for a Sr. Consultant, Data Engineer to join our growing team of experts. This position will work in the design and development of Snowflake Data Cloud solutions. The work includes data ingestion pipelines, data architecture, data governance and security. The ideal candidate is an experienced data pipeline builder and migrations who enjoys optimizing data systems and building them from the ground up.
The Sr. Consultant, Data Engineer will develop database architectures, data warehouses and will ensure optimal data delivery architecture is consistent throughout ongoing customer projects. On this role you will be leading technical teams. The right candidate will be excited by the prospect of working for a start-up company to support our customers' next generation of data initiatives.
As of April 2025, Hakkoda has been acquired by IBM and will be integrated in the IBM organization. Your recruitment process will be managed by IBM. IBM will be the hiring entity
This role can be performed from anywhere in the US
**Required technical and professional expertise**
* Bachelor's degree in engineering, computer science or equivalent area.
* Expertise in evaluating, selecting, and integrating ingestion technologies to solve complex data challenges.
* Leadership in architectural decisions for high-throughput data ingestion frameworks, including real-time data processing and analytics.
* Mentorship of junior engineers in best practices for data ingestion, performance tuning, and troubleshooting.
* 5+yrs in related technical roles, data management, database development, ETL,Data - - Warehouses and pipelines.
* Experience designing and developing data warehouses (Teradata, Oracle Exadata, Netezza, SQL Server, Spark)
* Experience building ETL / ELT ingestion pipelines with tools like DataStage, Informatica, Matillion
* SQL scripting
* Cloud experience on AWS (Azure, GCP are nice to have as well)
* Python Scripting, Scala is required.
* Ability to prepare reports and present to internal and customer stakeholders
* Track record of sound problem solving skills and action oriented mindset
* Strong interpersonal skills including assertiveness and ability to build strong client relationships
* Ability to work in Agile teams
* Experience hiring, developing and managing a technical team
IBM is committed to creating a diverse environment and is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.
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1
Delivery Manager Data Engineering
60684 Chicago, Illinois
The Hartford
Posted 3 days ago
Job Viewed
Job Description
Manager Data Engineering - GE07AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Join a fast‑moving, high‑talent team in Enterprise Data Services (EDS) that's unlocking data capabilities for our Business Insurance organization. You'll turn data into measurable business value-leading teams implementing a modern, simplified technology stack and fostering a strong, enterprise‑wide data culture. Our work delivers modern data platforms and analytics that power decision‑making and elevate customer experiences at scale.
As a Delivery Manager you will lead end‑to‑end delivery for high‑impact technology initiatives within EDS-spanning data platforms, integration, and analytics. Leveraging Agile best practices, you'll orchestrate cross‑functional teams, partner with business and technology leaders, and ensure outcomes are delivered predictably, with quality, and aligned to strategy. Success in this role requires strong Agile leadership, crisp stakeholder communication, and hands‑on program execution.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Responsibilities:
+ Lead teams to build and operate modern, scalable data platforms
+ Simplify architectures to increase velocity, quality, and reliability
+ Enable data driven decisions that advance The Hartford's strategic growth agenda
+ Champion a strong data culture across the enterprise
+ Delivery Leadership & Strategy: Own outcomes for programs/portfolios; establish delivery strategy, guardrails, and success metrics.
+ Program/Project Execution: Drive execution from initiation through release and stabilization; manage scope, estimates, schedules, risks/issues.
+ Agile Ways of Working: Promote advanced Agile behaviors; coach teams toward self‑organization and continuous improvement.
+ Stakeholder & Risk Management: Serve as a trusted point of contact for sponsors and leaders; proactively manage risks and dependencies.
+ People & Vendor Leadership: Mentor Scrum Masters/APOs; coordinate partner resources; uphold engineering and documentation standards.
+ Technology & Domain: Align delivery with technical design; leverage knowledge of modern data stacks (AWS, Snowflake, ETL/ELT), CI/CD, and DevOps.
+ Translate data into business outcomes for Business Insurance
+ Improve customer experiences through insights and analytics
+ Accelerate time‑to‑value with a modern technology stack and clear architecture
Required Qualifications:
+ 8+ years in technology delivery/program/project management with complex, multi‑team initiatives.
+ Demonstrated Agile leadership (Scrum/Kanban/SAFe) and coaching skills.
+ Excellent communication and stakeholder management.
+ Proficiency with delivery tooling (Rally, dashboards) and SDLC governance.
Preferred Qualifications:
+ Experience in data and analytics delivery and cloud migration (AWS/Snowflake).
+ Certifications: SAFe (SPC/RTE), PMP, PgMP, CSM/PSM.
+ Background leading vendor/partner teams and optimizing onshore/offshore models.
+ Experience working in the commercial insurance domain.
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$127,200 - $190,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
Join a fast‑moving, high‑talent team in Enterprise Data Services (EDS) that's unlocking data capabilities for our Business Insurance organization. You'll turn data into measurable business value-leading teams implementing a modern, simplified technology stack and fostering a strong, enterprise‑wide data culture. Our work delivers modern data platforms and analytics that power decision‑making and elevate customer experiences at scale.
As a Delivery Manager you will lead end‑to‑end delivery for high‑impact technology initiatives within EDS-spanning data platforms, integration, and analytics. Leveraging Agile best practices, you'll orchestrate cross‑functional teams, partner with business and technology leaders, and ensure outcomes are delivered predictably, with quality, and aligned to strategy. Success in this role requires strong Agile leadership, crisp stakeholder communication, and hands‑on program execution.
This role will have a Hybrid work schedule, with the expectation of working in an office (Columbus, OH, Chicago, IL, Hartford, CT or Charlotte, NC) 3 days a week (Tuesday through Thursday).
Responsibilities:
+ Lead teams to build and operate modern, scalable data platforms
+ Simplify architectures to increase velocity, quality, and reliability
+ Enable data driven decisions that advance The Hartford's strategic growth agenda
+ Champion a strong data culture across the enterprise
+ Delivery Leadership & Strategy: Own outcomes for programs/portfolios; establish delivery strategy, guardrails, and success metrics.
+ Program/Project Execution: Drive execution from initiation through release and stabilization; manage scope, estimates, schedules, risks/issues.
+ Agile Ways of Working: Promote advanced Agile behaviors; coach teams toward self‑organization and continuous improvement.
+ Stakeholder & Risk Management: Serve as a trusted point of contact for sponsors and leaders; proactively manage risks and dependencies.
+ People & Vendor Leadership: Mentor Scrum Masters/APOs; coordinate partner resources; uphold engineering and documentation standards.
+ Technology & Domain: Align delivery with technical design; leverage knowledge of modern data stacks (AWS, Snowflake, ETL/ELT), CI/CD, and DevOps.
+ Translate data into business outcomes for Business Insurance
+ Improve customer experiences through insights and analytics
+ Accelerate time‑to‑value with a modern technology stack and clear architecture
Required Qualifications:
+ 8+ years in technology delivery/program/project management with complex, multi‑team initiatives.
+ Demonstrated Agile leadership (Scrum/Kanban/SAFe) and coaching skills.
+ Excellent communication and stakeholder management.
+ Proficiency with delivery tooling (Rally, dashboards) and SDLC governance.
Preferred Qualifications:
+ Experience in data and analytics delivery and cloud migration (AWS/Snowflake).
+ Certifications: SAFe (SPC/RTE), PMP, PgMP, CSM/PSM.
+ Background leading vendor/partner teams and optimizing onshore/offshore models.
+ Experience working in the commercial insurance domain.
Candidate must be authorized to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$127,200 - $190,800
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice
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View Now
2
Sr Manager, Data Engineering
60684 Chicago, Illinois
McDonald's
Posted 3 days ago
Job Viewed
Job Description
Job Description:
Company Description:
McDonald's growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald's will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald's Global Technology is here to power tomorrow's feel-good moments.
That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant. We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald's Global Technology Technical Blog ( to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Company Description
McDonald's growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald's will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald's Global Technology is here to power tomorrow's feel-good moments.
That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant. We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald's Global Technology Technical Blog ( to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Department Overview
McDonald's Global Technology - Data & Analytics team is looking to hire a Sr Manager, Data Engineering who has a deep understanding of Data Product Lifecycle, Standards and Practices. This role would lead and own multiple products within the Global Data & Analytics team, from an engineering lead standpoint. This role is responsible for prioritizing multiple technical product backlogs, balancing new features, functional requirements, non-functional requirements and requests across teams and coordinating deployments with other Product Owners in the Data & Analytics team. The role requires the experience or proven aptitude to develop detailed domain knowledge of multiple products. The Senior Manager will oversee what work goes to development squads as the lead technology representative and decision-maker, working in tandem with the product team.
In this role, you will own responsibility for delivering data initiatives across our data product landscape, to globally improve and progress McDonalds to a world class data product organization. Partner with business customers and stakeholders to define and deliver the associated technical data product solutions using a mix of internal and external (vendor) resources and products and ensure successful integration with existing McDonald's systems.
Responsibilities
+ Build and maintains relevant and reliable data products that support the business needs. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view
+ Collaborate with Enterprise Architecture to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements
+ Participates in new software development engineering. Helps to define business rules that determines the quality of data, assists the product owner in writing test scripts that validates business rules, and performs detailed and rigorous testing to ensure data quality
+ Develops a solid understanding of the technical details of data domains, and clearly understands what business problems are being solved
+ Owns engineering modules, functionalities and supports them throughout the data development lifecycle
+ Develop the data product's target technical blueprint and key technology decisions to deliver the roadmap
+ Designing and developing end-to-end data pipelines and ETL processes to extract, transform, and load data from various sources into cloud data storage solutions (e.g., S3, Redshift, GCS, BigQuery).
+ Lead a back-end engineering team and facilitate cross-functional relationships to solve relevant business challenges
+ Implementing and maintaining scalable data architectures that support efficient data storage, retrieval, and processing.
+ Join forces with Product Managers across the organization to ensure alignment and coordination across products as necessary for multi-product work and initiatives
+ Participate in Intake Product Triage and decompose ideation tickets into Epics & Features with the help of the BTA, Project managers and deployment managers
+ Manage allocated resource and capacity including development, market enablement, bug resolution, site reliability engineering, and testing and reevaluate based on prioritized roadmap
+ Leveraging the product roadmap and release plan, provide capacity forecasting to Demand Management in advance, to plan for additional support or capacity required
+ Building and optimizing data integration workflows to connect data from different systems and platforms
+ Monitoring and troubleshooting data pipelines, identifying and resolving performance issues and bottlenecks
+ Ensuring data security and compliance with data governance policies and regulations
+ Managing data infrastructure on cloud platform, including capacity planning, cost optimization, and resource allocation.
+ Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to improve data systems and processes
+ Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference
+ Ability and flexibility to coordinate and work with teams distributed across time zones, as needed. For instance, early morning/late evening hours to coordinate with teams in India
Qualifications
+ BS in Computer Science or related field is REQUIRED
+ 10+ years of hands-on experience in data engineering, specifically with AWS & GCP backend tech stack, including but not limited to S3, Redshift, Glue, Lambda, GCS, BigQuery, Cloud Functions, Cloud Run, etc.
+ 8+ years of technically focused experience in related technologies and languages (Web Services, Java, XML, S3, NoSQL, Kafka, Spark, etc.)
+ 4+ years of experience in Master Data Management (MDM), Data Governance, and Data Quality domains, and MDM tools.
+ Reltio experience strong plus
+ Hands-on with Event, Workflow and Application driven Data Architecture. API and Microservices management
+ Working knowledge of cloud-based data systems, including AWS and GCP
+ Seasoned technical leader with hands-on development and deployment experience with insights into the newest technology and development trends.
+ Experience partnering with stakeholders across an at-scale, complex, global matrix org structure
+ 7+ years of experience with DevOps and data reliability engineering
+ 7+ years of hands-on experience with data modeling, ETL / ELT development, and data integration techniques (including real time data integration and processing)
+ Experience leading large cross functional teams to align and deliver projects.
+ Deep understanding of business, information, technical architecture (e.g. architecture principles design, deployment models), security
+ Experience with creating and executing testing strategies for functional, integration and performance testing
+ Experience developing solutions that provide high levels of resilience and scale.
+ Experience in leading a team of data engineers and data analysts in development efforts
+ Experience in Agile product development
+ Strong communication skills with ability to communicate complex technical concepts and align organization on decisions with stakeholders of all levels of expertise
+ Active coach and mentor whose goal is to grow and maximize team members' potential
+ Proficiency in programming languages commonly used in data engineering, such as Python.
+ Hands-on experience with big data processing frameworks, such as Apache Spark.
+ Working knowledge of relational and dimensional data design and modeling in a large multi-platform data environment
+ Solid understanding of SQL and database concepts.
+ Expert knowledge of quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
+ Expert Knowledge of data, master data and metadata related standards, processes and technology
+ Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles
+ Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
+ Demonstrated experience in data management & data governance capabilities
Preferred Additional Requirements
+ Experience with data profiling, data cleansing, fuzzy matching, Product/Location hierarchy management
+ Experience with Master Data Management (MDM) algorithms (matching, merging, unification, etc.)
+ Experience with JIRA and Confluence as part of project workflow and documentation tools is a plus
+ Experience with Agile project management methods and terminology a plus
Compensation
Bonus Eligible: Yes
Long - Term Incentive: Yes
Benefits Eligible: Yes
Salary Range
Salary Ranges- $149,260.00 - $190,310.00
Competencies
Execution Proficiency
Background & Values
Strategic Proficiency
Building Blocks
Talent Proficiency
Additional Information
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Requsition ID: 1789
Company Description:
McDonald's growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald's will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald's Global Technology is here to power tomorrow's feel-good moments.
That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant. We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald's Global Technology Technical Blog ( to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Company Description
McDonald's growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald's will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald's Global Technology is here to power tomorrow's feel-good moments.
That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant. We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald's Global Technology Technical Blog ( to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Department Overview
McDonald's Global Technology - Data & Analytics team is looking to hire a Sr Manager, Data Engineering who has a deep understanding of Data Product Lifecycle, Standards and Practices. This role would lead and own multiple products within the Global Data & Analytics team, from an engineering lead standpoint. This role is responsible for prioritizing multiple technical product backlogs, balancing new features, functional requirements, non-functional requirements and requests across teams and coordinating deployments with other Product Owners in the Data & Analytics team. The role requires the experience or proven aptitude to develop detailed domain knowledge of multiple products. The Senior Manager will oversee what work goes to development squads as the lead technology representative and decision-maker, working in tandem with the product team.
In this role, you will own responsibility for delivering data initiatives across our data product landscape, to globally improve and progress McDonalds to a world class data product organization. Partner with business customers and stakeholders to define and deliver the associated technical data product solutions using a mix of internal and external (vendor) resources and products and ensure successful integration with existing McDonald's systems.
Responsibilities
+ Build and maintains relevant and reliable data products that support the business needs. Develops and implements new technology solutions as needed to ensure ongoing improvement with data reliability and observability in-view
+ Collaborate with Enterprise Architecture to launch scalable and reliable data solutions, support system integration efforts, and create operational efficiencies through automation and process improvements
+ Participates in new software development engineering. Helps to define business rules that determines the quality of data, assists the product owner in writing test scripts that validates business rules, and performs detailed and rigorous testing to ensure data quality
+ Develops a solid understanding of the technical details of data domains, and clearly understands what business problems are being solved
+ Owns engineering modules, functionalities and supports them throughout the data development lifecycle
+ Develop the data product's target technical blueprint and key technology decisions to deliver the roadmap
+ Designing and developing end-to-end data pipelines and ETL processes to extract, transform, and load data from various sources into cloud data storage solutions (e.g., S3, Redshift, GCS, BigQuery).
+ Lead a back-end engineering team and facilitate cross-functional relationships to solve relevant business challenges
+ Implementing and maintaining scalable data architectures that support efficient data storage, retrieval, and processing.
+ Join forces with Product Managers across the organization to ensure alignment and coordination across products as necessary for multi-product work and initiatives
+ Participate in Intake Product Triage and decompose ideation tickets into Epics & Features with the help of the BTA, Project managers and deployment managers
+ Manage allocated resource and capacity including development, market enablement, bug resolution, site reliability engineering, and testing and reevaluate based on prioritized roadmap
+ Leveraging the product roadmap and release plan, provide capacity forecasting to Demand Management in advance, to plan for additional support or capacity required
+ Building and optimizing data integration workflows to connect data from different systems and platforms
+ Monitoring and troubleshooting data pipelines, identifying and resolving performance issues and bottlenecks
+ Ensuring data security and compliance with data governance policies and regulations
+ Managing data infrastructure on cloud platform, including capacity planning, cost optimization, and resource allocation.
+ Staying up to date with emerging data engineering technologies, trends, and best practices, and evaluating their applicability to improve data systems and processes
+ Documenting data engineering processes, workflows, and solutions for knowledge sharing and future reference
+ Ability and flexibility to coordinate and work with teams distributed across time zones, as needed. For instance, early morning/late evening hours to coordinate with teams in India
Qualifications
+ BS in Computer Science or related field is REQUIRED
+ 10+ years of hands-on experience in data engineering, specifically with AWS & GCP backend tech stack, including but not limited to S3, Redshift, Glue, Lambda, GCS, BigQuery, Cloud Functions, Cloud Run, etc.
+ 8+ years of technically focused experience in related technologies and languages (Web Services, Java, XML, S3, NoSQL, Kafka, Spark, etc.)
+ 4+ years of experience in Master Data Management (MDM), Data Governance, and Data Quality domains, and MDM tools.
+ Reltio experience strong plus
+ Hands-on with Event, Workflow and Application driven Data Architecture. API and Microservices management
+ Working knowledge of cloud-based data systems, including AWS and GCP
+ Seasoned technical leader with hands-on development and deployment experience with insights into the newest technology and development trends.
+ Experience partnering with stakeholders across an at-scale, complex, global matrix org structure
+ 7+ years of experience with DevOps and data reliability engineering
+ 7+ years of hands-on experience with data modeling, ETL / ELT development, and data integration techniques (including real time data integration and processing)
+ Experience leading large cross functional teams to align and deliver projects.
+ Deep understanding of business, information, technical architecture (e.g. architecture principles design, deployment models), security
+ Experience with creating and executing testing strategies for functional, integration and performance testing
+ Experience developing solutions that provide high levels of resilience and scale.
+ Experience in leading a team of data engineers and data analysts in development efforts
+ Experience in Agile product development
+ Strong communication skills with ability to communicate complex technical concepts and align organization on decisions with stakeholders of all levels of expertise
+ Active coach and mentor whose goal is to grow and maximize team members' potential
+ Proficiency in programming languages commonly used in data engineering, such as Python.
+ Hands-on experience with big data processing frameworks, such as Apache Spark.
+ Working knowledge of relational and dimensional data design and modeling in a large multi-platform data environment
+ Solid understanding of SQL and database concepts.
+ Expert knowledge of quality functions like cleansing, standardization, parsing, de-duplication, mapping, hierarchy management, etc.
+ Expert Knowledge of data, master data and metadata related standards, processes and technology
+ Ability to drive continuous data management quality (i.e. timeliness, completeness, accuracy) through defined and governed principles
+ Ability to perform extensive data analysis (comparing multiple datasets) using a variety of tools
+ Demonstrated experience in data management & data governance capabilities
Preferred Additional Requirements
+ Experience with data profiling, data cleansing, fuzzy matching, Product/Location hierarchy management
+ Experience with Master Data Management (MDM) algorithms (matching, merging, unification, etc.)
+ Experience with JIRA and Confluence as part of project workflow and documentation tools is a plus
+ Experience with Agile project management methods and terminology a plus
Compensation
Bonus Eligible: Yes
Long - Term Incentive: Yes
Benefits Eligible: Yes
Salary Range
Salary Ranges- $149,260.00 - $190,310.00
Competencies
Execution Proficiency
Background & Values
Strategic Proficiency
Building Blocks
Talent Proficiency
Additional Information
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Requsition ID: 1789
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3
Consumer Data Engineering Lead
60684 Chicago, Illinois
Mondelez International
Posted 3 days ago
Job Viewed
Job Description
**Job Description**
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.**
We are looking for a **Regional Tech Engineering** **Lead** to manage the **technical operations and delivery** of our digital marketing product stack across NA/LA Region. This includes websites, the regional Customer Data Platform (CDP), media solutions, and emerging Marketing GenAI solutions. This role ensures the technology landscape runs smoothly, integrations are executed effectively, and platform performance meets the needs of our marketing teams. As the go-to technical expert in-region, you will partner with regional & global IT teams, vendors, and local market stakeholders to ensure seamless execution and support of our digital marketing ecosystem.
**Key Responsibilities:**
+ Oversee the **regional** **MarTech** **landscape** from a tech standpoint, ensuring platform reliability, integration, and performance
+ Act as the **technical point of contact** for global digital marketing product rollouts and support
+ Collaborate with global product and engineering teams to align on architecture, deployment, and enhancements
+ Oversee System Integration Testing (SIT) execution, including test plan approval, defect management, and quality gate enforcement
+ Ensure IT Operations setup is fully implemented in partnership with Global Product Team, including monitoring, alerting, and support procedures
+ Manage technical issue resolution, documentation, and user enablement for regional stakeholders
+ Align on key data quality monitoring scope and process, implementing data quality metrics and automated validation checks
+ Maintain comprehensive technical documentation and knowledge base for the platform
+ Ensure platforms comply with security, privacy, and Responsible AI principles
+ Support implementation of new features or tools by coordinating across business and IT teams
+ Identify and manage technical debt with prioritized remediation plans
+ Direct interactions with Architecture, Application/Platform, and Technical Product teams to guide technology selections, favoring scalable and cost-effective solutions.
**More about this role**
**Required Skills:**
+ 5-7 years of experience in marketing technology, IT solution delivery, or digital platform support
+ Technical knowledge of **CDPs, CRM, CMS, DAM, media platforms** , and marketing data flows
+ Proven experience supporting or delivering regional or global digital products
+ Strong troubleshooting, integration, and communication skills
+ Experience working in cross-functional and multi-market environments
+ Familiarity with cloud environments (e.g., GCP, Azure), APIs, and data privacy practices preferred
+ Proven hands-on experience in architecting and deploying scalable cloud-based solutions for data processing, reporting, and analytics.
+ Proven skills in data integration techniques, ETL processes, and familiarity with APIs and web services for connecting disparate data sources in a secure and efficient manner.
+ Proven experience in leading technical teams and managing complex IT projects from conception through to implementation, ensuring alignment with strategic business objectives
+ Eager to embrace new technologies, methodologies, and industry developments, with a commitment to lifelong learning and professional growth.
+ Strategic and analytical thinker, setting technical direction, prioritizing projects, and mobilizing teams to deliver innovative solutions.
+ Familiarity with GCP's analytics and machine learning services, including BigQuery, Dataflow, AI Platform
**Compensation:**
The base salary range for this position is $117,400 to $161,425; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.
In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays, and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.
No Relocation support available
**Business Unit Summary**
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
For more information about your Federal rights, please see eeopost.pdf ; EEO is the Law Poster Supplement ; Pay Transparency Nondiscrimination Provision ; Know Your Rights: Workplace Discrimination is Illegal
**Job Type**
Regular
Software & Applications
Technology & Digital
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
**Are You Ready to Make It Happen at Mondelēz International?**
**Join our Mission to Lead the Future of Snacking. Make It Uniquely Yours.**
We are looking for a **Regional Tech Engineering** **Lead** to manage the **technical operations and delivery** of our digital marketing product stack across NA/LA Region. This includes websites, the regional Customer Data Platform (CDP), media solutions, and emerging Marketing GenAI solutions. This role ensures the technology landscape runs smoothly, integrations are executed effectively, and platform performance meets the needs of our marketing teams. As the go-to technical expert in-region, you will partner with regional & global IT teams, vendors, and local market stakeholders to ensure seamless execution and support of our digital marketing ecosystem.
**Key Responsibilities:**
+ Oversee the **regional** **MarTech** **landscape** from a tech standpoint, ensuring platform reliability, integration, and performance
+ Act as the **technical point of contact** for global digital marketing product rollouts and support
+ Collaborate with global product and engineering teams to align on architecture, deployment, and enhancements
+ Oversee System Integration Testing (SIT) execution, including test plan approval, defect management, and quality gate enforcement
+ Ensure IT Operations setup is fully implemented in partnership with Global Product Team, including monitoring, alerting, and support procedures
+ Manage technical issue resolution, documentation, and user enablement for regional stakeholders
+ Align on key data quality monitoring scope and process, implementing data quality metrics and automated validation checks
+ Maintain comprehensive technical documentation and knowledge base for the platform
+ Ensure platforms comply with security, privacy, and Responsible AI principles
+ Support implementation of new features or tools by coordinating across business and IT teams
+ Identify and manage technical debt with prioritized remediation plans
+ Direct interactions with Architecture, Application/Platform, and Technical Product teams to guide technology selections, favoring scalable and cost-effective solutions.
**More about this role**
**Required Skills:**
+ 5-7 years of experience in marketing technology, IT solution delivery, or digital platform support
+ Technical knowledge of **CDPs, CRM, CMS, DAM, media platforms** , and marketing data flows
+ Proven experience supporting or delivering regional or global digital products
+ Strong troubleshooting, integration, and communication skills
+ Experience working in cross-functional and multi-market environments
+ Familiarity with cloud environments (e.g., GCP, Azure), APIs, and data privacy practices preferred
+ Proven hands-on experience in architecting and deploying scalable cloud-based solutions for data processing, reporting, and analytics.
+ Proven skills in data integration techniques, ETL processes, and familiarity with APIs and web services for connecting disparate data sources in a secure and efficient manner.
+ Proven experience in leading technical teams and managing complex IT projects from conception through to implementation, ensuring alignment with strategic business objectives
+ Eager to embrace new technologies, methodologies, and industry developments, with a commitment to lifelong learning and professional growth.
+ Strategic and analytical thinker, setting technical direction, prioritizing projects, and mobilizing teams to deliver innovative solutions.
+ Familiarity with GCP's analytics and machine learning services, including BigQuery, Dataflow, AI Platform
**Compensation:**
The base salary range for this position is $117,400 to $161,425; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results.
In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays, and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.
No Relocation support available
**Business Unit Summary**
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, we produce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
For more information about your Federal rights, please see eeopost.pdf ; EEO is the Law Poster Supplement ; Pay Transparency Nondiscrimination Provision ; Know Your Rights: Workplace Discrimination is Illegal
**Job Type**
Regular
Software & Applications
Technology & Digital
At Mondelēz International, our purpose is to empower people to snack right through offering the right snack, for the right moment, made the right way. That means delivering a broader range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about.
We have a rich portfolio of strong brands - both global and local. Including many household names such as Oreo, belVita and LU biscuits; Cadbury Dairy Milk, Milka and Toblerone chocolate; Sour Patch Kids candy and Trident gum. We are proud to hold the number 1 position globally in biscuits, chocolate and candy as well as the No. 2 position in gum
Our 80,000 Makers and Bakers are located in our operations in more than 80 countries and are working to sell our products in over 150 countries around the world. They are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen, and happen fast.
Join us and Make It An Opportunity!
Mondelez Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact for assistance.
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View Now
4
Director, AI Data Engineering
60684 Chicago, Illinois
The Hartford
Posted 3 days ago
Job Viewed
Job Description
Dir Data Engineering - GE06AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
We are seeking a highly skilled Director, AI Data Engineering, to join our Employee benefits data team. This role requires strategic thinking, expertise in data engineering practices, knowledge of AI technologies, The candidate should be versed in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, and have a track record of enabling self-serve analytics and AI use cases. This role will be a hands on leadership role.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position
Responsibilities:
+ Lead Execution of a complex and large Data and Analytics portfolio.
+ Data Modernization: Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI. Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics.
+ Architecture and Solution: Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.
+ Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders and promote data capabilities through thought leadership and presentations.
+ AI Data Engineering leader responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
+ Real-Time Data Streaming: Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
+ Drive best practices in AI data engineering by establishing standardized processes, promoting cutting-edge technologies, and ensuring data quality and compliance across the enterprise.
+ Data and Analytics Management: Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems.
+ Expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. Expertise in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, self-serve analytics and AI.
+ Leadership: Build, mentor, and lead a high-performing team including business data analysts, data engineers and release train engineers.
+ Drive efficiency and Productivity: Identify and champion developer productivity improvements across the end-to-end data management lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices for data and automated data quality frameworks.
+ Technology Evaluation & Adoption: Stay current with emerging trends in data engineering and AI/ML, design prototypes and conduct experiments, and recommend innovative tools and technologies to enhance data capabilities enabling business strategy.
+ Data Governance, Stewardship and Quality: Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.
+ Budget Management: Effectively manage the budget and financials for the portfolio.
+ Develop deep partnerships and alignment with the portfolio and agile value stream frameworks. Experience with Agile at Scale and iterative development through cross-functional teams.
+ Partners with Technology, Data, AI Platform, ML Ops and Architecture teams to influence technology, data, platform and tooling strategy.
Qualifications:
+ 12+ years in data engineering, data management and building large-scale data ecosystems.
+ Bachelor's or Master's degree in Computer Science, Data Science or a related field.
+ 3+ years in senior leadership roles managing large and complex data and analytics portfolio with large size teams.
+ Proven strategic and innovative thinker with a track record of enabling transformative data capabilities.
+ Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, data warehouse, data integration, data lakes, data domains, data products, business intelligence, and cloud technology capabilities.
+ Technical expertise in LLMs, AI platforms, prompt engineering, LLM optimization, Retrieval-Augmented Generation (RAG) architectures and vector database technologies (Vertex AI, Postgres, OpenSearch, Pinecone etc.).
+ Strong experience with GCP, Vertex AI or AWS required.
+ Experience in multi cloud environment.
+ Experience in Lang chain, AI agents, Vertex AI and Google Agent ecosystem.
+ Strong experience with the design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS or GCP Cloud and Snowflake.
+ Exceptional presentation and verbal/written communication skills; must be able to communicate effectively at all levels across the organization.
+ Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.
+ Excellent negotiation, influencing, and conflict resolution skills; adept at building strong cross-functional relationships.
+ Preferred experience in the Property & Casualty insurance industry.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$156,000 - $234,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
We are seeking a highly skilled Director, AI Data Engineering, to join our Employee benefits data team. This role requires strategic thinking, expertise in data engineering practices, knowledge of AI technologies, The candidate should be versed in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, and have a track record of enabling self-serve analytics and AI use cases. This role will be a hands on leadership role.
This role can have a Hybrid or Remote work schedule. Candidates who live near one of our office locations will have the expectation of working in an office 3 days a week (Tuesday through Thursday) Candidates who do not live near an office will have a remote work arrangement, with the expectation of coming into an office as business needs arise. Must be eligible to work in the US without company sponsorship. The company will not support the STEM OPT I-983 Training Plan endorsement for this position
Responsibilities:
+ Lead Execution of a complex and large Data and Analytics portfolio.
+ Data Modernization: Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI. Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics.
+ Architecture and Solution: Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.
+ Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders and promote data capabilities through thought leadership and presentations.
+ AI Data Engineering leader responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
+ Real-Time Data Streaming: Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
+ Drive best practices in AI data engineering by establishing standardized processes, promoting cutting-edge technologies, and ensuring data quality and compliance across the enterprise.
+ Data and Analytics Management: Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems.
+ Expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. Expertise in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, self-serve analytics and AI.
+ Leadership: Build, mentor, and lead a high-performing team including business data analysts, data engineers and release train engineers.
+ Drive efficiency and Productivity: Identify and champion developer productivity improvements across the end-to-end data management lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices for data and automated data quality frameworks.
+ Technology Evaluation & Adoption: Stay current with emerging trends in data engineering and AI/ML, design prototypes and conduct experiments, and recommend innovative tools and technologies to enhance data capabilities enabling business strategy.
+ Data Governance, Stewardship and Quality: Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.
+ Budget Management: Effectively manage the budget and financials for the portfolio.
+ Develop deep partnerships and alignment with the portfolio and agile value stream frameworks. Experience with Agile at Scale and iterative development through cross-functional teams.
+ Partners with Technology, Data, AI Platform, ML Ops and Architecture teams to influence technology, data, platform and tooling strategy.
Qualifications:
+ 12+ years in data engineering, data management and building large-scale data ecosystems.
+ Bachelor's or Master's degree in Computer Science, Data Science or a related field.
+ 3+ years in senior leadership roles managing large and complex data and analytics portfolio with large size teams.
+ Proven strategic and innovative thinker with a track record of enabling transformative data capabilities.
+ Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, data warehouse, data integration, data lakes, data domains, data products, business intelligence, and cloud technology capabilities.
+ Technical expertise in LLMs, AI platforms, prompt engineering, LLM optimization, Retrieval-Augmented Generation (RAG) architectures and vector database technologies (Vertex AI, Postgres, OpenSearch, Pinecone etc.).
+ Strong experience with GCP, Vertex AI or AWS required.
+ Experience in multi cloud environment.
+ Experience in Lang chain, AI agents, Vertex AI and Google Agent ecosystem.
+ Strong experience with the design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS or GCP Cloud and Snowflake.
+ Exceptional presentation and verbal/written communication skills; must be able to communicate effectively at all levels across the organization.
+ Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.
+ Excellent negotiation, influencing, and conflict resolution skills; adept at building strong cross-functional relationships.
+ Preferred experience in the Property & Casualty insurance industry.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$156,000 - $234,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice
Is this job a match or a miss?
View Now
5
Director, Data Engineering - Customer Data Platform
60684 Chicago, Illinois
McDonald's
Posted 3 days ago
Job Viewed
Job Description
Job Description:
Company Description:
McDonald's growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald's will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald's Global Technology is here to power tomorrow's feel-good moments.
That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant. We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald's Global Technology Technical Blog ( to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Department Overview
McDonald's is hiring a Director of Data Products & Analytics, focused on data in our Customer and MarTech areas. This area covers data flowing on our customers, their loyalty, offers and campaign engagement, and other linked information. Data products you'll manage on top of this data flow include customer segmentation models and marketer-facing data activation products. You will lead and manage a team of 150+, including employees and consultants. Work spans leading data & analytics engineering to roadmaps for data product evolution.
Duties
Responsibilities:
+ Build and evolve our Customer Data and data products. Work spans data ingestion, ETL/ELT, data access. And then also, analytics products, including data-driven marketer facing activation tools, such as mParticle and Braze
+ Strategize and execute, on making data to be ever more accessible, reliable, and integrated into decision-making and marketer-activation processes
+ Work with teams doing data quality tools, and master data management tooling, but taking ultimate accountability for ensuring high quality data flows
+ Lead managers of teams building and upgrading our customer-facing data sets and analytics products. McDonald's loyalty program and mobile app reaches millions, and the scale is significant
+ Engage global market leaders in evolving our MarTech data strategy and product roadmaps
+ Champion a culture of continuous leaning and innovation within data & analytics product teams
+ Partner with Directors of other Data & Analytics areas, including Sales Transactions, Restaurant Operations and Supply Chain
+ Budget management, including high-level budget forecasting and on-going tracking
Qualifications
+ Optimal candidate has proven experience (15+ years) background, covering (i) software and data engineering core skills, (ii) people leadership of engineering teams and (iii) experience with stakeholder relationship building and alignment
+ Undergraduate and/or master's degree in computer-related technical area preferred
+ Data product management leadership exposure
+ Proven ability to have empathy with users of enterprise-grade complex data. Typically, this comes from having written SQL at some point in your career
+ Can effectivity engage with stakeholders, ranging from functional leaders to data-users
+ Can lead teams of mixed US and India based engineering work, and can help steer problem solving for how teams build software-based products
+ Familiar with cloud-based software engineering
+ Excellent leadership and communication skills, with the ability to collaborate effectively across departments
+ Team development: Can recruit, mentor, and develop a high-performing team of data professionals
+ Can identify process issues, and steer teams in executing process improvements
+ Takes personal pride in how your teams build reliable, cutting-edge software systems that optimally deliver on business needs for accessibility, quality, cost-efficiency, and extensibility
Compensation
Bonus Eligible: Yes
Long - Term Incentive: Yes
Benefits Eligible: Yes
Salary Range
The expected salary range for this role is $168,350 - $218,860 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Competencies
Execution Proficiency
Background & Values
Strategic Proficiency
Building Blocks
Talent Proficiency
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Requsition ID: 2229
Company Description:
McDonald's growth strategy, Accelerating the Arches, encompasses all aspects of our business as the leading global omni-channel restaurant brand. As the consumer landscape shifts we are using our competitive advantages to further strengthen our brand. One of our core growth strategies is to Double Down on the 3Ds (Delivery, Digital and Drive Thru). McDonald's will accelerate technology innovation so 65M+ customers a day will experience a fast, easy experience, whether at one of our 25,000 and growing Drive thrus, through McDelivery, dine-in or takeaway.
McDonald's Global Technology is here to power tomorrow's feel-good moments.
That's why you'll find us at the forefront of transformative technology, exploring new and innovative ways to serve our millions of customers and spread happiness one delicious Hot Fudge Sundae-dipped fry at a time. Using AI, robotics and emerging tech, we're digitizing the Golden Arches. Combine that with our unparalleled global scale, and we're reshaping all areas of the business, industry and every community that is home to a McDonald's restaurant. We face complex tech challenges every day. But that's where our diverse and talented teams come in. They're made up of the best and brightest from all over the globe, and they thrive in the space where feel-good meets fast-paced.
Check out the McDonald's Global Technology Technical Blog ( to learn how technology and our global team are directly enabling the Accelerating the Arches strategy.
Department Overview
McDonald's is hiring a Director of Data Products & Analytics, focused on data in our Customer and MarTech areas. This area covers data flowing on our customers, their loyalty, offers and campaign engagement, and other linked information. Data products you'll manage on top of this data flow include customer segmentation models and marketer-facing data activation products. You will lead and manage a team of 150+, including employees and consultants. Work spans leading data & analytics engineering to roadmaps for data product evolution.
Duties
Responsibilities:
+ Build and evolve our Customer Data and data products. Work spans data ingestion, ETL/ELT, data access. And then also, analytics products, including data-driven marketer facing activation tools, such as mParticle and Braze
+ Strategize and execute, on making data to be ever more accessible, reliable, and integrated into decision-making and marketer-activation processes
+ Work with teams doing data quality tools, and master data management tooling, but taking ultimate accountability for ensuring high quality data flows
+ Lead managers of teams building and upgrading our customer-facing data sets and analytics products. McDonald's loyalty program and mobile app reaches millions, and the scale is significant
+ Engage global market leaders in evolving our MarTech data strategy and product roadmaps
+ Champion a culture of continuous leaning and innovation within data & analytics product teams
+ Partner with Directors of other Data & Analytics areas, including Sales Transactions, Restaurant Operations and Supply Chain
+ Budget management, including high-level budget forecasting and on-going tracking
Qualifications
+ Optimal candidate has proven experience (15+ years) background, covering (i) software and data engineering core skills, (ii) people leadership of engineering teams and (iii) experience with stakeholder relationship building and alignment
+ Undergraduate and/or master's degree in computer-related technical area preferred
+ Data product management leadership exposure
+ Proven ability to have empathy with users of enterprise-grade complex data. Typically, this comes from having written SQL at some point in your career
+ Can effectivity engage with stakeholders, ranging from functional leaders to data-users
+ Can lead teams of mixed US and India based engineering work, and can help steer problem solving for how teams build software-based products
+ Familiar with cloud-based software engineering
+ Excellent leadership and communication skills, with the ability to collaborate effectively across departments
+ Team development: Can recruit, mentor, and develop a high-performing team of data professionals
+ Can identify process issues, and steer teams in executing process improvements
+ Takes personal pride in how your teams build reliable, cutting-edge software systems that optimally deliver on business needs for accessibility, quality, cost-efficiency, and extensibility
Compensation
Bonus Eligible: Yes
Long - Term Incentive: Yes
Benefits Eligible: Yes
Salary Range
The expected salary range for this role is $168,350 - $218,860 per year
The above represents the expected salary range for this job requisition. Ultimately, in determining your pay, we may also consider your experience, and other job-related factors.
Competencies
Execution Proficiency
Background & Values
Strategic Proficiency
Building Blocks
Talent Proficiency
Additional Information:
Benefits eligible: This position offers health and welfare benefits, a 401(k) plan, adoption assistance program, educational assistance program, flexible ways of working, and time off policies (including sick leave, parental leave, and vacation/PTO). Eligibility requirements apply to some benefits and may depend on job classification and length of employment.
Bonus eligible: This position is eligible for a bonus, calculated based on individual and company performance.
Long term Incentive eligible: This position is eligible for stock or other equity grants pursuant to McDonald's long-term incentive plan.
McDonald's is an equal opportunity employer committed to the diversity of our workforce. We promote an inclusive work environment that creates feel-good moments for everyone. McDonald's provides reasonable accommodations to qualified individuals with disabilities as part of the application or hiring process or to perform the essential functions of their job. If you need assistance accessing or reading this job posting or otherwise feel you need an accommodation during the application or hiring process, please contact Reasonable accommodations will be determined on a case-by-case basis.
McDonald's provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to sex, sex stereotyping, pregnancy (including pregnancy, childbirth, and medical conditions related to pregnancy, childbirth, or breastfeeding), race, color, religion, ancestry or national origin, age, disability status, medical condition, marital status, sexual orientation, gender, gender identity, gender expression, transgender status, protected military or veteran status, citizenship status, genetic information, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training.
Nothing in this job posting or description should be construed as an offer or guarantee of employment.
Requsition ID: 2229
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6
Sr. Data Engineer, AI Data Engineering
60684 Chicago, Illinois
Caterpillar, Inc.
Posted 3 days ago
Job Viewed
Job Description
**Career Area:**
Technology, Digital and Data
**Job Description:**
**Your Work Shapes the World at Caterpillar Inc.**
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
_Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world._
**Job Summary:**
As a Senior Data Engineer on the Helios Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications.
**What You Will Do:**
+ Responsibilities of the incumbents are across functional lines with individuals assigned in new program development.
+ Competent to perform all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work.
+ Works directly on complex application/technical problem identification and resolution.
+ Interpreting design requirements for engineering implementation
+ Building and deploying CICD pipelines
+ Implementing source to target mapping as pipeline code
+ Responsibility for Unit and Integration testing
+ Maintains high standards of software quality within the team by establishing good practices and habits
+ Identifies and encourage areas for growth and improvement within the team
+ Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time.
**What You Will Have:**
+ **Decision Making and Critical Thinking:** Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
+ **Effective Communications:** Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
+ **Software Development:** Extensive knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
+ **Software Development Life Cycle:** Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.
+ **Software Product Design/Architecture:** Knowledge of software product design; ability to convert market requirements into the software product design.
+ **Software Product Technical Knowledge:** Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.
+ **Software Product Testing:** Extensive knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.
**Considerations for Top Candidates:**
+ Knowledge and experience with **AI technologies** such as **NLP, LLM, RAG, LangChain frameworks** , etc
+ Extensive software development experience and solid working knowledge of OOP principles.
+ Extensive experience working with Git version control
+ Exceptional communication skills with experience working on a cross functional teams.
+ Extensive experience deploying software using CI/CD tools such as Jenkins, Github Actions, Azure Devops etc.
+ Extensive experience in designing and developing software applications in Python.
+ Experience with AWS components such as Bedrock, Lambda, Dynamo, Fargate, S3, Sagemaker, IAM and RDS
+ Experience with relational and/or noSQL databases such as PostgreSQL, DynamoDB, MongoDB, Oracle, etc.
+ Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.
**Additional Information:**
This position will have the option to be based out of our Chicago, IL or Peoria, IL offices.
#LI
#BI (used to post on Built In Chicago)
**What You Will Get:**
Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.
**About Caterpillar**
Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
**Summary Pay Range:**
$110,520.00 - $179,640.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
**Benefits:**
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
+ Medical, dental, and vision benefits*
+ Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
+ 401(k) savings plans*
+ Health Savings Account (HSA)*
+ Flexible Spending Accounts (FSAs)*
+ Health Lifestyle Programs*
+ Employee Assistance Program*
+ Voluntary Benefits and Employee Discounts*
+ Career Development*
+ Incentive bonus*
+ Disability benefits
+ Life Insurance
+ Parental leave
+ Adoption benefits
+ Tuition Reimbursement
* These benefits also apply to part-time employees
Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at Dates:**
October 20, 2025 - November 2, 2025
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community ( .
Technology, Digital and Data
**Job Description:**
**Your Work Shapes the World at Caterpillar Inc.**
When you join Caterpillar, you're joining a global team who cares not just about the work we do - but also about each other. We are the makers, problem solvers, and future world builders who are creating stronger, more sustainable communities. We don't just talk about progress and innovation here - we make it happen, with our customers, where we work and live. Together, we are building a better world, so we can all enjoy living in it.
_Cat Digital is the digital and technology arm of Caterpillar Inc., leveraging the latest technologies to build industry leading digital solutions for our customers and dealers. With over 1.5 million connected assets worldwide, our teams use data, technology, advanced analytics, telematics, and AI capabilities to help our customers build a better, more sustainable world._
**Job Summary:**
As a Senior Data Engineer on the Helios Data Engineering team, you will be responsible for developing Python data pipelines that build business data objects used to support applications.
**What You Will Do:**
+ Responsibilities of the incumbents are across functional lines with individuals assigned in new program development.
+ Competent to perform all programming, project management, and development assignments without close supervision; normally assigned the more complex aspects of systems work.
+ Works directly on complex application/technical problem identification and resolution.
+ Interpreting design requirements for engineering implementation
+ Building and deploying CICD pipelines
+ Implementing source to target mapping as pipeline code
+ Responsibility for Unit and Integration testing
+ Maintains high standards of software quality within the team by establishing good practices and habits
+ Identifies and encourage areas for growth and improvement within the team
+ Employee is also responsible for performing other job duties as assigned by Caterpillar management from time to time.
**What You Will Have:**
+ **Decision Making and Critical Thinking:** Knowledge of the decision-making process and associated tools and techniques; ability to accurately analyze situations and reach productive decisions based on informed judgment.
+ **Effective Communications:** Understanding of effective communication concepts, tools and techniques; ability to effectively transmit, receive, and accurately interpret ideas, information, and needs through the application of appropriate communication behaviors.
+ **Software Development:** Extensive knowledge of software development tools and activities; ability to produce software products or systems in line with product requirements.
+ **Software Development Life Cycle:** Knowledge of software development life cycle; ability to use a structured methodology for delivering and managing new or enhanced software products to the marketplace.
+ **Software Product Design/Architecture:** Knowledge of software product design; ability to convert market requirements into the software product design.
+ **Software Product Technical Knowledge:** Knowledge of technical aspects of a software products; ability to design, configure and integrate technical aspects of software products.
+ **Software Product Testing:** Extensive knowledge of software product testing; ability to design, plan, and execute testing strategies and tactics to ensure software product quality and adherence to stated requirements.
**Considerations for Top Candidates:**
+ Knowledge and experience with **AI technologies** such as **NLP, LLM, RAG, LangChain frameworks** , etc
+ Extensive software development experience and solid working knowledge of OOP principles.
+ Extensive experience working with Git version control
+ Exceptional communication skills with experience working on a cross functional teams.
+ Extensive experience deploying software using CI/CD tools such as Jenkins, Github Actions, Azure Devops etc.
+ Extensive experience in designing and developing software applications in Python.
+ Experience with AWS components such as Bedrock, Lambda, Dynamo, Fargate, S3, Sagemaker, IAM and RDS
+ Experience with relational and/or noSQL databases such as PostgreSQL, DynamoDB, MongoDB, Oracle, etc.
+ Demonstrated strong learning ability and a proactive approach to staying current with the latest technologies and industry trends.
**Additional Information:**
This position will have the option to be based out of our Chicago, IL or Peoria, IL offices.
#LI
#BI (used to post on Built In Chicago)
**What You Will Get:**
Working with a Fortune 100 leader, you can build your career on a global scale and take advantage of development opportunities with emerging technologies. We've created an inclusive environment for you to explore your passions, make an impact and do the work that really matters. Join Us.
**About Caterpillar**
Caterpillar Inc. is the world's leading manufacturer of construction and mining equipment, off-highway diesel and natural gas engines, industrial gas turbines and diesel-electric locomotives. For nearly 100 years, we've been helping customers build a better, more sustainable world and are committed and contributing to a reduced-carbon future. Our innovative products and services, backed by our global dealer network, provide exceptional value that helps customers succeed.
**Summary Pay Range:**
$110,520.00 - $179,640.00
Compensation and benefits offered may vary depending on multiple individualized factors, job level, market location, job-related knowledge, skills, individual performance and experience. Please note that salary is only one component of total compensation at Caterpillar.
**Benefits:**
Subject to plan eligibility, terms, and guidelines. This is a summary list of benefits.
+ Medical, dental, and vision benefits*
+ Paid time off plan (Vacation, Holidays, Volunteer, etc.)*
+ 401(k) savings plans*
+ Health Savings Account (HSA)*
+ Flexible Spending Accounts (FSAs)*
+ Health Lifestyle Programs*
+ Employee Assistance Program*
+ Voluntary Benefits and Employee Discounts*
+ Career Development*
+ Incentive bonus*
+ Disability benefits
+ Life Insurance
+ Parental leave
+ Adoption benefits
+ Tuition Reimbursement
* These benefits also apply to part-time employees
Visa Sponsorship is not available for this position. This employer is not currently hiring foreign national applicants that require or will require sponsorship tied to a specific employer, such as, H, L, TN, F, J, E, O. As a global company, Caterpillar offers many job opportunities outside of the U.S which can be found through our employment website at Dates:**
October 20, 2025 - November 2, 2025
Any offer of employment is conditioned upon the successful completion of a drug screen.
Caterpillar is an Equal Opportunity Employer, Including Veterans and Individuals with Disabilities. Qualified applicants of any age are encouraged to apply.
Not ready to apply? Join our Talent Community ( .
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7
Sr Engineer Data Engineering - US Based Remote
60684 Chicago, Illinois
Anywhere Real Estate
Posted 3 days ago
Job Viewed
Job Description
**Senior Data Engineer**
At Anywhere, we work to build and improve a platform that helps real estate professionals work effectively and helps delight home buyers and sellers with an excellent experience. We do that by combining great technology with great people - and we're looking for a Senior Data Engineer to join our team.
**What we're looking for:**
You're a talented, creative, and motivated engineer who loves developing powerful, stable, and intuitive apps - and you're excited to work with a team of individuals with that same passion. You've accumulated years of experience, and you're excited about taking your mastery of Big Data and Java to a new level. You enjoy challenging projects involving big data sets and are cool under pressure. You're no stranger to fast-paced environments and agile development methodologies - in fact, you embrace them. With your strong analytical skills, your unwavering commitment to quality, your excellent technical skills, and your collaborative work ethic, you'll do great things here at Anywhere.
**What you'll do:**
As a Senior Data Engineer, you'll be responsible for building high performance, scalable data solutions that meet the needs of millions of agents, brokers, home buyers, and sellers. You'll design, develop, and test robust, scalable data platform components. You'll work with a variety of teams and individuals, including product engineers to understand their data pipeline needs and come up with innovative solutions. You'll work with a team of talented engineers and collaborate with product managers and designers to help define new data products and features.
**Skills, accomplishments, interests you should have:**
+ BS/MS in Computer Science, Engineering, or related technical discipline or equivalent combination of training and experience.
+ 5+ years core Scala/Java experience: building business logic layers and high-volume/low latency/big data pipelines.
+ 3+ years of experience in large scale real-time stream processing using Apache Flink or Apache Spark with messaging infrastructure like Kafka/Pulsar.
+ 5+ years of experience on Data Pipeline development, ETL and processing of structured and unstructured data.
+ 3+ years of experience using NoSQL systems like MongoDB, DynamoDB and Relational SQL Database systems (PostgreSQL) and Athena.
+ Experience with technologies like Lambda, API Gateway, AWS Fargate, ECS, CloudWatch, S3, DataDog.
+ Experience owning and implementing technical/data solutions or pipelines.
+ Excellent written and verbal communication skills in English.
+ Strong work ethic and entrepreneurial spirit.
Anywhere Real Estate Inc. ( **(NYSE: HOUS) is moving real estate to what's next.** Home to some of the most recognized brands in real estate Better Homes and Gardens® Real Estate ( , Century 21® ( , Coldwell Banker® ( , Coldwell Banker Commercial® ( , Corcoran® ( , ERA® ( , and Sotheby's International Realty® ( , we fulfill our purpose to empower everyone's next move through our leading integrated services, which include franchise, brokerage, relocation, and title and settlement businesses, as well as mortgage and title insurance underwriter minority owned joint ventures. Anywhere supports nearly 1 million home sale transactions annually and our portfolio of industry-leading brands turns houses into homes in more than 118 countries and territories across the world.
**At Anywhere, we are empowering everyone's next move - your career included.** What differentiates us is our scale, expertise, network, and unique business model that positions us as a trusted advisor throughout every stage of the real estate transaction. **We pursue talent** - strategic thinkers who are eager to always find a better way, relentlessly focus on talent, obsess about growth, and achieve exceptional results. **We value our people-first culture,** which thrives on empowerment, innovation, and cross-company collaboration as we keep moving the world forward, together. Read more about our company culture and values in our annual Impact Report ( .
We are proud of our award-winning culture and are consistently recognized as an employer of choice by various organizations including:
+ Great Place to Work
+ Forbes World's Best Employers
+ Newsweek World's Most Trustworthy Companies
+ Ethisphere World's Most Ethical Companies
EEO Statement: EOE including disability/veteran
At Anywhere, we work to build and improve a platform that helps real estate professionals work effectively and helps delight home buyers and sellers with an excellent experience. We do that by combining great technology with great people - and we're looking for a Senior Data Engineer to join our team.
**What we're looking for:**
You're a talented, creative, and motivated engineer who loves developing powerful, stable, and intuitive apps - and you're excited to work with a team of individuals with that same passion. You've accumulated years of experience, and you're excited about taking your mastery of Big Data and Java to a new level. You enjoy challenging projects involving big data sets and are cool under pressure. You're no stranger to fast-paced environments and agile development methodologies - in fact, you embrace them. With your strong analytical skills, your unwavering commitment to quality, your excellent technical skills, and your collaborative work ethic, you'll do great things here at Anywhere.
**What you'll do:**
As a Senior Data Engineer, you'll be responsible for building high performance, scalable data solutions that meet the needs of millions of agents, brokers, home buyers, and sellers. You'll design, develop, and test robust, scalable data platform components. You'll work with a variety of teams and individuals, including product engineers to understand their data pipeline needs and come up with innovative solutions. You'll work with a team of talented engineers and collaborate with product managers and designers to help define new data products and features.
**Skills, accomplishments, interests you should have:**
+ BS/MS in Computer Science, Engineering, or related technical discipline or equivalent combination of training and experience.
+ 5+ years core Scala/Java experience: building business logic layers and high-volume/low latency/big data pipelines.
+ 3+ years of experience in large scale real-time stream processing using Apache Flink or Apache Spark with messaging infrastructure like Kafka/Pulsar.
+ 5+ years of experience on Data Pipeline development, ETL and processing of structured and unstructured data.
+ 3+ years of experience using NoSQL systems like MongoDB, DynamoDB and Relational SQL Database systems (PostgreSQL) and Athena.
+ Experience with technologies like Lambda, API Gateway, AWS Fargate, ECS, CloudWatch, S3, DataDog.
+ Experience owning and implementing technical/data solutions or pipelines.
+ Excellent written and verbal communication skills in English.
+ Strong work ethic and entrepreneurial spirit.
Anywhere Real Estate Inc. ( **(NYSE: HOUS) is moving real estate to what's next.** Home to some of the most recognized brands in real estate Better Homes and Gardens® Real Estate ( , Century 21® ( , Coldwell Banker® ( , Coldwell Banker Commercial® ( , Corcoran® ( , ERA® ( , and Sotheby's International Realty® ( , we fulfill our purpose to empower everyone's next move through our leading integrated services, which include franchise, brokerage, relocation, and title and settlement businesses, as well as mortgage and title insurance underwriter minority owned joint ventures. Anywhere supports nearly 1 million home sale transactions annually and our portfolio of industry-leading brands turns houses into homes in more than 118 countries and territories across the world.
**At Anywhere, we are empowering everyone's next move - your career included.** What differentiates us is our scale, expertise, network, and unique business model that positions us as a trusted advisor throughout every stage of the real estate transaction. **We pursue talent** - strategic thinkers who are eager to always find a better way, relentlessly focus on talent, obsess about growth, and achieve exceptional results. **We value our people-first culture,** which thrives on empowerment, innovation, and cross-company collaboration as we keep moving the world forward, together. Read more about our company culture and values in our annual Impact Report ( .
We are proud of our award-winning culture and are consistently recognized as an employer of choice by various organizations including:
+ Great Place to Work
+ Forbes World's Best Employers
+ Newsweek World's Most Trustworthy Companies
+ Ethisphere World's Most Ethical Companies
EEO Statement: EOE including disability/veteran
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View Now
8
AVP AI and Data Engineering- Global Specialty
60684 Chicago, Illinois
The Hartford
Posted 3 days ago
Job Viewed
Job Description
AVP IT Management - IM05AE
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking an experienced and visionary Assistant Vice President (AVP) of AI and Data Engineering to lead our Global Specialty Data and Analytics portfolio. This strategic leader will drive the modernization of our data and analytics ecosystem, aligning with business objectives leveraging AI, cloud technologies, and a modern technology stack.
The ideal candidate has experience in developing large scale data ecosystems including data domains, data products, AI/ML solutions, analytics and business intelligence. The AVP will lead the development and implementation of advanced data engineering and AI capabilities. This is an opportunity for a forward-thinking data and analytics leader to influence the future of The Hartford.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Chicago IL, Hartford CT, Danbury CT, Alpharetta GA or Charlotte NC) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office can be in remote work arrangement with the expectation of coming into the office as business needs arise. Candidates must be authorized to work in the US without company sponsorship.
Key Responsibilities:
+ Strategy and Execution: Lead the strategy and execution of complex and large Global Specialty Data and Analytics portfolio.
+ Data Modernization: Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI. Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics.
+ Architecture and Solution: Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.
+ Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders and promote data capabilities through thought leadership and presentations.
+ AI Data Engineering leader responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
+ Real-Time Data Streaming: Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
+ Data and Analytics Management: Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems.
+ Leadership: Build, mentor, and lead a high-performing team including business data analysts, data engineers and release train engineers.
+ Drive efficiency and Productivity: Identify and champion developer productivity improvements across the end-to-end data management lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices for data and automated data quality frameworks.
+ Technology Evaluation & Adoption: Stay current with emerging trends in data engineering and AI/ML and recommend innovative tools and technologies to enhance data capabilities enabling business strategy.
+ Data Governance, Stewardship and Quality: Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.
+ Budget Management: Effectively manage the budget and financials for GS Data and Analytics portfolio.
+ This role requires strategic thinking, expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. The candidate should be versed in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, and have a track record of enabling self-serve analytics and AI use cases.
+ Develop deep partnerships and alignment with the portfolio and agile value stream frameworks. Experience with Agile at Scale and iterative development through cross-functional teams.
+ Partners with technology, data, AI platform, MLOps and Architecture teams to influence technology, data, platform and tooling strategy.
Qualifications
+ 15+ years in data engineering, data management and building large-scale data ecosystems.
+ Bachelor's or Master's degree in Computer Science, Data Science or a related field.
+ 5+ years in senior leadership roles managing large and complex data and analytics portfolio with a people budget of at least $10M.
+ Proven strategic and innovative thinker with a track record of enabling transformative data capabilities.
+ Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, data warehouse, data integration, data lakes, data domains, data products, business intelligence, and cloud technology capabilities.
+ Technical expertise in LLMs, AI platforms, prompt engineering, LLM optimization, Retrieval-Augmented Generation (RAG) architectures and vector database technologies (Vertex AI, Postgres, OpenSearch, Pinecone etc.).
+ Strong experience with GCP, Vertex AI or AWS required.
+ Experience in multi cloud environment
+ Experience in Lang chain, AI agents, Vertex AI and Google Agent ecosystem.
+ Strong experience with the design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS or GCP Cloud and Snowflake.
+ Exceptional presentation and verbal/written communication skills; must be able to communicate effectively at all levels across the organization.
+ Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.
+ Excellent negotiation, influencing, and conflict resolution skills; adept at building strong cross-functional relationships.
+ Preferred experience in the Property & Casualty insurance industry.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$80,000 - 270,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice
We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to achieve your goals - and to help others accomplish theirs, too. Join our team as we help shape the future.
The Hartford is seeking an experienced and visionary Assistant Vice President (AVP) of AI and Data Engineering to lead our Global Specialty Data and Analytics portfolio. This strategic leader will drive the modernization of our data and analytics ecosystem, aligning with business objectives leveraging AI, cloud technologies, and a modern technology stack.
The ideal candidate has experience in developing large scale data ecosystems including data domains, data products, AI/ML solutions, analytics and business intelligence. The AVP will lead the development and implementation of advanced data engineering and AI capabilities. This is an opportunity for a forward-thinking data and analytics leader to influence the future of The Hartford.
This role can have a Hybrid or Remote work arrangement. Candidates who live near one of our office locations (Chicago IL, Hartford CT, Danbury CT, Alpharetta GA or Charlotte NC) will have the expectation of working in an office 3 days a week (Tuesday through Thursday). Candidates who do not live near an office can be in remote work arrangement with the expectation of coming into the office as business needs arise. Candidates must be authorized to work in the US without company sponsorship.
Key Responsibilities:
+ Strategy and Execution: Lead the strategy and execution of complex and large Global Specialty Data and Analytics portfolio.
+ Data Modernization: Develop and implement a strategic roadmap to modernize legacy data and analytics ecosystems using Cloud and AI. Solve for data complexity by enabling data domains and data products for all consumption architypes and stakeholders including reporting, data science, AI/ML and analytics.
+ Architecture and Solution: Ensure data architecture and solutions align with enterprise-wide standards for Data, AI and Analytics.
+ Effectively communicate strategy, execution progress, and outcomes to diverse stakeholders and promote data capabilities through thought leadership and presentations.
+ AI Data Engineering leader responsible for Implementing AI data pipelines that integrate structured, semi-structured, and unstructured data to support AI and Agentic solutions.
+ Real-Time Data Streaming: Design, build and maintain scalable real-time data pipelines for efficient ingestion, processing, and delivery.
+ Data and Analytics Management: Oversee the design, development, and maintenance of data pipelines, data warehouses, data lakes and reporting systems.
+ Leadership: Build, mentor, and lead a high-performing team including business data analysts, data engineers and release train engineers.
+ Drive efficiency and Productivity: Identify and champion developer productivity improvements across the end-to-end data management lifecycle. This includes researching and implementing innovative solutions such as AI-driven auto-generation of data pipelines, advanced DevOps practices for data and automated data quality frameworks.
+ Technology Evaluation & Adoption: Stay current with emerging trends in data engineering and AI/ML and recommend innovative tools and technologies to enhance data capabilities enabling business strategy.
+ Data Governance, Stewardship and Quality: Define and implement robust data management frameworks to ensure successful adoption of Enterprise Data Governance and Data Quality practices.
+ Budget Management: Effectively manage the budget and financials for GS Data and Analytics portfolio.
+ This role requires strategic thinking, expertise in data engineering practices, knowledge of AI technologies, and the ability to lead cross-functional teams. The candidate should be versed in real-time data streaming, agentic frameworks, Data APIs, vector stores, and RAG architectures, and have a track record of enabling self-serve analytics and AI use cases.
+ Develop deep partnerships and alignment with the portfolio and agile value stream frameworks. Experience with Agile at Scale and iterative development through cross-functional teams.
+ Partners with technology, data, AI platform, MLOps and Architecture teams to influence technology, data, platform and tooling strategy.
Qualifications
+ 15+ years in data engineering, data management and building large-scale data ecosystems.
+ Bachelor's or Master's degree in Computer Science, Data Science or a related field.
+ 5+ years in senior leadership roles managing large and complex data and analytics portfolio with a people budget of at least $10M.
+ Proven strategic and innovative thinker with a track record of enabling transformative data capabilities.
+ Mastery level data engineering and architecture skills, including deep expertise in data architecture patterns, data warehouse, data integration, data lakes, data domains, data products, business intelligence, and cloud technology capabilities.
+ Technical expertise in LLMs, AI platforms, prompt engineering, LLM optimization, Retrieval-Augmented Generation (RAG) architectures and vector database technologies (Vertex AI, Postgres, OpenSearch, Pinecone etc.).
+ Strong experience with GCP, Vertex AI or AWS required.
+ Experience in multi cloud environment
+ Experience in Lang chain, AI agents, Vertex AI and Google Agent ecosystem.
+ Strong experience with the design and development of complex data ecosystems leveraging next-generation cloud technology stack across AWS or GCP Cloud and Snowflake.
+ Exceptional presentation and verbal/written communication skills; must be able to communicate effectively at all levels across the organization.
+ Ability to lead successfully in a lean, agile, and fast-paced organization, leveraging Scaled Agile principles and ways of working.
+ Excellent negotiation, influencing, and conflict resolution skills; adept at building strong cross-functional relationships.
+ Preferred experience in the Property & Casualty insurance industry.
Compensation
The listed annualized base pay range is primarily based on analysis of similar positions in the external market. Actual base pay could vary and may be above or below the listed range based on factors including but not limited to performance, proficiency and demonstration of competencies required for the role. The base pay is just one component of The Hartford's total compensation package for employees. Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition. The annualized base pay range for this role is:
$80,000 - 270,000
Equal Opportunity Employer/Sex/Race/Color/Veterans/Disability/Sexual Orientation/Gender Identity or Expression/Religion/Age
About Us ( | Our Culture ( | What It's Like to Work Here ( | Perks & Benefits ( day, a day to do right.
Showing up for people isn't just what we do. It's who we are - and have been for more than 200 years. We're devoted to finding innovative ways to serve our customers, communities and employees-continually asking ourselves what more we can do.
Is our policy language as simple and inclusive as it can be? Can we better help businesses navigate our ever-changing world? What else can we do to destigmatize mental health in the workplace? Can we make our communities more equitable?
That we can rise to the challenge of these questions is due in no small part to our company values that our employees have shaped and defined.
And while how we contribute looks different for each of us, it's these values that drive all of us to do more and to do better every day.
About Us ( Culture
What It's Like to Work Here ( & Benefits
Legal Notice ( Statement Producer Compensation ( Policy ( Privacy Policy
Your California Privacy Choices ( Privacy Policy
Canadian Privacy Policy ( Areas of LA County, CA (Applicant Information)
MA Applicant Notice ( India Prospective Personnel Privacy Notice
Is this job a match or a miss?
View Now
9