3,482 Data Driven Solutions jobs in the United States

Department/Group Overview:

Supporting the Disney Advertising organization, the Data and Measurement Science team are subject matter experts in each of the following areas:

• Identity

• Measurement

• Addressability

• Programmatic

• Data-forward business development

Job Summary:

We're looking for an individual to join the Data & Measurement Sciences Organization as a Lead of Data Strategy. This role reports into the Manager of Data Strategy and will be focused on leading all data-driven initiatives related to Disney Advertising's automation and addressability capabilities. The individual that fills this role will be responsible for creating parity internationally for Disney Advertising's advanced addressable capabilities, with a primary focus on platforms and data collaboration. This is a highly collaborative and cross-functional role that will develop, drive, and oversee new strategies/partnerships/technical capabilities to ensure the growth of the business and the overall bottom line. The ideal candidate has spent time as an active developer (Data Science, Data Engineering or Software Engineering), has product/program/project management experience and exceptional communication skills.

Responsibilities and Duties of the Role:

Develop technical solutions to meet business requirements

• Participate and engage in product-development meetings and translate business requirements to technical action items for data feeds, reporting and product development.

• Wireframe and develop code to prototype in-depth technical solutions for net-new business initiatives including, but not limited to, predictive modeling and machine learning applications, measurement analytics and consumer-facing data products.

• Architect optimal database/code infrastructure (including data pipelines, database design, use of ML libraries, and predictive modeling code bases) to align with organization standards and ensure management of technical and business dependencies.

• Drive cross-organization collaboration by establishing project management standards and pro-active communication strategies.

Lead prioritization and roadmap for Data Strategy functional areas

• Execute the Data Strategy Roadmap for all aspects of the automation and addressability Ad Sales business, with primary focus on data and analytics platforms.

• Work in close collaboration with leadership to develop future initiatives.

• Interact with business stakeholders (both internal and external) to understand macro-level organization strategy and priorities and help drive forward technical initiatives according to business needs.

Develop ad-hoc code for QA, pipelining and proof-of-concept work

• Serve as an additional technical resource when necessary, stepping in to perform task-oriented work in SQL or other applicable languages for testing/requirements development.

• Assist in the orchestration of processes that egress data to storage repositories and API endpoints.

• Build and maintain technical documentation and external materials to support defined business initiatives.

• Collaborate with other developers on on rapid prototype MVP (minimum-viable product) solutions for emerging opportunities including the development of code for machine learning and predictive analytics capabilities, measurement and data pipeline infrastructure.

Required Education, Experience/Skills/Training:

• Bachelors+5 years OR Master's+3 years. Degree should be in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.

• 1-2 years of demonstrated project management experience, including developing project management frameworks either formally or within a data science or data engineering role.

• Experience working in an agile environment helping lead development of requirements, management of workflows and priorities, and generation of feedback to a data team.

• Proficiency in SQL, python and orchestration tools (Airflow).

• Strong experience in Google Cloud, AWS, Snowflake or other cloud platforms a must.

• Exceptional communication, storytelling and visualization skills

• A desire to work directly with business stakeholders and understand strategic decision making in a communication-heavy role

• Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious).

• Great organization, communication, and teamwork skills.

.

The hiring range for this remote position is $132,200 - $203,800 per year , which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.

Job ID: 10127183

Location: ,California

Job Posting Company: Disney Advertising

The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Position Summary As the Data Strategy Lead at Bold Charter School, you will be part of a mission-driven and outcomes-oriented organization focused on building world-class schools. You will join a team guided by the belief that building world-class schools depends on delivering operational excellence and lead the development of systems and tools that drive progress to goals across the organization. You will receive regular coaching and become a transformative leader within the organization as we grow and expand our impact.

To help us achieve our vision, we are searching for a candidate with a Bachelor's degree and 3+ years of data management and strategic leadership experience. An MBA or graduate degree in a related field is preferred, but not required. Ideal candidates will have a creative and solutions-oriented mindset, experience designing systems and infrastructure, and a foundational belief that every child deserves a world-class education.

Key responsibilities include, but are not limited to:

• Collaborate with leadership to develop the organization's data strategy and drive a high-performing, outcomes-oriented culture
• Establish and develop systems that support data-driven decision-making across all aspects of the organization
• Lead the development of performance and progress monitoring dashboards to drive consistent growth in professional practice, student achievement, and organizational impact
• Execute processes that foster a transparent and communicative culture across the organization
• Develop systems and structures to ensure all data is accurate and complete across systems; manage annual and ongoing data reporting
• Manage assessments, including logistics, testing security, training and support
• Strategically manage priorities, communicating regularly and effectively with stakeholders, and demonstrating a high level of ownership and accountability
• Contribute to a school environment that is joyful, engaging, and rigorous, and in which students love learning
• Model Bold's core values and building a positive student and team culture across our schools
• Demonstrate a mission-first mindset to ensure all decisions and actions are rooted in ensuring that all students excel

Successful candidates should:

• Have technical expertise, including a background in data technologies and analytics
• Demonstrate a strong ability to develop clear and impactful communications for presentation to stakeholders across the organization
• Hold exceptionally high personal standards for performance and possess an excellence reflex that constantly raises the bar
• Be a person of high moral character with well-developed emotional intelligence
• Demonstrate an ability to multitask effectively and prioritize strategically, with exceptional follow-through skills
• Have a keen eye for detail and proven experience developing systems and evaluating progress
• Demonstrate a strong commitment to and alignment with the mission, beliefs, and values of Bold, and to going above and beyond the requirements of the job
• Have the ability to work within a fast-paced and dynamic team environment where responsibility for student success is shared and owned by everyone
• Hold a commitment to solutions-based problem solving and previous experience of such
• Hold a Bachelor's degree with an outstanding record of achievement and leadership; MBA or graduate degree in a related field preferred

Start Date The start date for this position is flexible.

Compensation Bold Charter School offers highly competitive compensation, in the top 3% of comparable positions across New York City charter schools. The starting salary range for this position is $110,000-$140,000 annually and includes a full benefits package.

Equal Opportunity Employer Bold Charter School is an equal opportunity employer and actively encourages applications from people of all backgrounds.

**Department/Group Overview:**
Supporting the Disney Advertising organization, the Data and Measurement Science team are subject matter experts in each of the following areas:
+ Identity
+ Measurement
+ Addressability
+ Programmatic
+ Data-forward business development
**Job Summary:**
We're looking for an individual to join the Data & Measurement Sciences Organization as a Lead of Data Strategy. This role reports into the Manager of Data Strategy and will be focused on leading all data-driven initiatives related to Disney Advertising's automation and addressability capabilities. The individual that fills this role will be responsible for creating parity internationally for Disney Advertising's advanced addressable capabilities, with a primary focus on platforms and data collaboration. This is a highly collaborative and cross-functional role that will develop, drive, and oversee new strategies/partnerships/technical capabilities to ensure the growth of the business and the overall bottom line. The ideal candidate has spent time as an active developer (Data Science, Data Engineering or Software Engineering), has product/program/project management experience and exceptional communication skills.
**Responsibilities and Duties of the Role:**
Develop technical solutions to meet business requirements
+ Participate and engage in product-development meetings and translate business requirements to technical action items for data feeds, reporting and product development.
+ Wireframe and develop code to prototype in-depth technical solutions for net-new business initiatives including, but not limited to, predictive modeling and machine learning applications, measurement analytics and consumer-facing data products.
+ Architect optimal database/code infrastructure (including data pipelines, database design, use of ML libraries, and predictive modeling code bases) to align with organization standards and ensure management of technical and business dependencies.
+ Drive cross-organization collaboration by establishing project management standards and pro-active communication strategies.
Lead prioritization and roadmap for Data Strategy functional areas
+ Execute the Data Strategy Roadmap for all aspects of the automation and addressability Ad Sales business, with primary focus on data and analytics platforms.
+ Work in close collaboration with leadership to develop future initiatives.
+ Interact with business stakeholders (both internal and external) to understand macro-level organization strategy and priorities and help drive forward technical initiatives according to business needs.
Develop ad-hoc code for QA, pipelining and proof-of-concept work
+ Serve as an additional technical resource when necessary, stepping in to perform task-oriented work in SQL or other applicable languages for testing/requirements development.
+ Assist in the orchestration of processes that egress data to storage repositories and API endpoints.
+ Build and maintain technical documentation and external materials to support defined business initiatives.
+ Collaborate with other developers on on rapid prototype MVP (minimum-viable product) solutions for emerging opportunities including the development of code for machine learning and predictive analytics capabilities, measurement and data pipeline infrastructure.
**Required Education, Experience/Skills/Training:**
+ Bachelors+5 years OR Master's+3 years. Degree should be in Computer Science, Information Systems, Software, Electrical or Electronics Engineering, or comparable field of study, and/or equivalent work experience.
+ 1-2 years of demonstrated project management experience, including developing project management frameworks either formally or within a data science or data engineering role.
+ Experience working in an agile environment helping lead development of requirements, management of workflows and priorities, and generation of feedback to a data team.
+ Proficiency in SQL, python and orchestration tools (Airflow).
+ Strong experience in Google Cloud, AWS, Snowflake or other cloud platforms a must.
+ Exceptional communication, storytelling and visualization skills
+ A desire to work directly with business stakeholders and understand strategic decision making in a communication-heavy role
+ Innovative thinker capable of operating both in a strategic capacity (big-picture perspective, asks "why") and a hands-on/execution capacity (detail-oriented, conscientious).
+ Great organization, communication, and teamwork skills.
.
The hiring range for this remote position is $132,200 - $203,800 per year , which factors in various geographic regions. The base pay actually offered will take into account internal equity and also may vary depending on the candidate's geographic region, job-related knowledge, skills, and experience among other factors. A bonus and/or long-term incentive units may be provided as part of the compensation package, in addition to the full range of medical, financial, and/or other benefits, dependent on the level and position offered.
**Job ID:** 10127183
**Location:** ,California
**Job Posting Company:** Disney Advertising
The Walt Disney Company and its Affiliated Companies are Equal Employment Opportunity employers and welcome all job seekers including individuals with disabilities and veterans with disabilities. If you have a disability and believe you need a reasonable accommodation in order to search for a job opening or apply for a position, email with your request. This email address is not for general employment inquiries or correspondence. We will only respond to those requests that are related to the accessibility of the online application system due to a disability.

Data Strategy Consultant
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.
**Job Location - Dallas TX (Day One Onsite - 5 days in a week)**
**About The Role**
+ Capgemini's FS Division is looking for a strategy consultant to understand and implement its data strategy across the clients division aligning to its firm approved data strategy and practices.
+ This role will be coordinating with CTO to implement any new data strategies on premise and cloud
**Key Responsibilities**
+ Partner with CTO and key IT leaders stakeholders to advise and implement data strategy and framework aligned with the firm's needs and divisional objectives
+ Architect and implement enterprise-grade solutions for data management, focusing on data integrity, integration, and distribution capabilities
+ Develop and improve existing data models to accurately represent end to end business processes, ensuring they're scalable and fully integrate with the extensive data architecture
+ Design and implement scalable data pipelines, orchestrating complex workflows across our systems.
+ Drive technology modernization efforts by helping transition legacy systems to the next-generation data solution
+ Guide and mentor junior data engineers, promoting best practices in SQL, Python, and cloud technologies, and fostering a culture of continuous learning and improvement.
+ Ensure data quality, governance, and compliance with relevant internal standards and external regulations
+ Evaluate and recommend modern data technologies, tools, and platforms.
+ Implement best practices in data modeling, ETL/ELT processes, and real-time data streaming.
+ Drive automation and CI/CD practices in data engineering workflows.
**Required Skills**
+ Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
+ 8+ years of experience in data engineering, with at least 3 years in a leadership role.
+ Proven experience designing and building large-scale data platforms.
+ Strong expertise in SQL, Python/Scala, Spark, Kafka, and cloud data services from AWS and Snowflake.
+ Familiarity with data governance frameworks and security best practices.
+ Evaluate and recommend modern data technologies, tools, and platforms.
+ Implement best practices in data modeling, ETL/ELT processes, and real-time data streaming.
+ Drive automation and CI/CD practices in data engineering workflows.
**Life At Capgemini**
Capgemini supports all aspects of your well-being throughout the changing stages of your life and career. For eligible employees, we offer:
+ Flexible work
+ Healthcare including dental, vision, mental health, and well-being programs
+ Financial well-being programs such as 401(k) and Employee Share Ownership Plan
+ Paid time off and paid holidays
+ Paid parental leave
+ Family building benefits like adoption assistance, surrogacy, and cryopreservation
+ Social well-being benefits like subsidized back-up child/elder care and tutoring
+ Mentoring, coaching and learning programs
+ Employee Resource Groups
+ Disaster Relief
**Disclaimer**
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.
This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodations do not pose an undue hardship.
Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.
Click the following link for more information on your rights as an Applicant
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Ref. code: 314467
Posted on: Aug 22, 2025
Experience Level: Experienced Professionals
Contract Type: Permanent
Location:
Irving, US
Brand: Capgemini
Professional Community: Data & AI
Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities, and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model, and reputational risk matters to support sustainable, profitable corporate growth.

In a data-driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a strong data management, data architecture, and data platforms foundation.

Under the GRM DSM Executives leadership, the Data Strategy Solutions Architect will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment. The architect will also contribute to the architecture for the Risk Data and Reporting Platform, enabling Data Management and Reporting capabilities for risk lines of business. Additionally, they will evaluate data tools, conduct Proof of Concepts, and develop remediation plans for implementation.

Responsibilities:

• Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards.
• Uses architecture tools to create design artifacts, including Data models/architecture, API design, and data solutions architecture.
• Leads strategy & architecture for data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality, and related data services.
• Designs data products to provide high-quality data for quantitative modeling solutions for GRM.
• Performs assessments of the health and maturity of data & information capabilities for GRM.
• Designs new data solutions and capabilities to support risk lines of businesses.
• Defines the mission, goals, success factors, principles, and procedures for data strategy and information architecture.
• Builds business cases to secure approval and funding for Data and Analytical efforts.
• Manages linkages from information capabilities to technical assets, understanding end-to-end change impact.
• Maintains logical data models and data flows to understand data interdependencies.

Required Skills:

• Bachelors degree in computer science, Data Science, or Analytics, with 6+ years of experience in data platform/solutions and data management architecture; or Masters degree with 5+ years experience.
• Experience in designing and developing data solutions, data management & governance products, and data/reporting platforms.
• Expertise in complex design patterns, microservices, API design, data warehouse, data lakes, and data pipelines.
• Knowledge of data strategies like data mesh, data contracts, and integration fabric.
• Experience with relational and NoSQL data stores and big data environments.
• Hands-on skills with data technologies such as Python, Spark, Airflow, JavaScript, and SQL.
• Ability to research and prototype new data technologies and solutions.
• Experience in data modeling for complex pipelines, lakes, and platforms.
• Experience with data management platforms like Collibra or open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez.
• Exceptional communication skills, both written and verbal, including data visualization.

Desired Skills:

• Knowledge of data storage formats like Apache Iceberg, Hudi, Delta Lake, Parquet, JSON, and Avro.
• Experience with graph processing and storage technologies, such as Knowledge Graphs or Property Graphs, and graph stores like TigerGraph.
• Exposure to Linked Data, Open Data, and GenAI-based data solutions.

Shift: 1st shift (United States of America)

Hours Per Week: 40

#J-18808-Ljbffr

Data Strategy Solutions Architect

Charlotte, North Carolina

To proceed with your application, you must be at least 18 years of age.

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Job Description:

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Job Description:

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.

In a data driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a strong data management, data architecture and data platforms foundation.

Under the GRM DSM Executive's leadership, the Data Strategy Solutions Architect will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment. The Data Strategy Solutions Architect will also be accountable for contributing to the architecture for Risk Data and Reporting Platform which will enable Data Management and Reporting capabilities for risk line of businesses. Additionally, the architect will also evaluate data tools and conduct Proof of Concepts to arrive at recommended solutions and develop remediation plans to implement those solutions.

Responsibilities:

• Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards

• Uses architecture tools to create design artifacts, including but not limited to Data models/architecture, API design and data solutions architecture.

• Leads strategy & architecture for one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services.

• Design data products to provide high quality data for quantitative modeling solutions for GRM.

• Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain.

• Evangelize and design new data solutions and capabilities to support risk lines of businesses.

• Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture.

• Participates in building the business cases required to secure approval and funding for the Data and Analytical efforts.

• Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical)

• Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.

Required Skills:

• Bachelor's degree in computer science / engineering, Data Science or Analytics and 6+ years of experience in data platform/solutions and data management architecture; or if Master's degree, 5+ years' experience.

• Strong experience driving the design and development of data solutions, data management & governance products as well as data and reporting platforms.

• Expertise in architecting complex design patterns, microservices, API design, data warehouse and data lakes and data pipelines.

• Ability to drive data strategy and deep understanding of industry paradigms such as data mesh, data contracts, integration fabric etc.

• Experience with relational and NoSQL data stores and big data environments.

• Hands-on expertise with data technologies and computing frameworks including but not limited to, Python, Spark, Airflow, Javascript and SQL.

• Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.

• Experience with data modeling for complex data pipelines, data lake and data platforms.

• Strong experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.

• Exceptional communication skills and the ability to communicate effectively at all levels of the organization; this includes written and verbal communications as well as visualizations.

Desired Skills:

• Working knowledge of data storage layers / formats such as Apache Iceberg, Hudi, Delta Lake etc. as well as Parquet, JSON and Avro.

• Experience with Graph processing and storage technologies such as Knowledge Graphs / Property Graphs with working knowledge of at-least one graph store such as TigerGraph (preferred).

• Exposure to Linked Data / Open Data, and GenAI based data solutions is a plus.

Shift:

1st shift (United States of America)

Hours Per Week:

40

Bank of America and its affiliates consider for employment and hire qualified candidates without regard to race, religious creed, religion, color, sex, sexual orientation, genetic information, gender, gender identity, gender expression, age, national origin, ancestry, citizenship, protected veteran or disability status or any factor prohibited by law, and as such affirms in policy and practice to support and promote the concept of equal employment opportunity, in accordance with all applicable federal, state, provincial and municipal laws. The company also prohibits discrimination on other bases such as medical condition, marital status or any other factor that is irrelevant to the performance of our teammates.

To view the "Know your Rights" poster, CLICK HERE ( .

View the LA County Fair Chance Ordinance ( .

Bank of America aims to create a workplace free from the dangers and resulting consequences of illegal and illicit drug use and alcohol abuse. Our Drug-Free Workplace and Alcohol Policy ("Policy") establishes requirements to prevent the presence or use of illegal or illicit drugs or unauthorized alcohol on Bank of America premises and to provide a safe work environment.

Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. Should you be offered a role with Bank of America, your hiring manager will provide you with information on the in-office expectations associated with your role. These expectations are subject to change at any time and at the sole discretion of the Company. To the extent you have a disability or sincerely held religious belief for which you believe you need a reasonable accommodation from this requirement, you must seek an accommodation through the Bank's required accommodation request process before your first day of work.

This communication provides information about certain Bank of America benefits. Receipt of this document does not automatically entitle you to benefits offered by Bank of America. Every effort has been made to ensure the accuracy of this communication. However, if there are discrepancies between this communication and the official plan documents, the plan documents will always govern. Bank of America retains the discretion to interpret the terms or language used in any of its communications according to the provisions contained in the plan documents. Bank of America also reserves the right to amend or terminate any benefit plan in its sole discretion at any time for any reason.

At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!

Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.
In a data driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a strong data management, data architecture and data platforms foundation.

Under the GRM DSM Executives leadership, the Data Strategy Solutions Architect will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment. The Data Strategy Solutions Architect will also be accountable for contributing to the architecture for Risk Data and Reporting Platform which will enable Data Management and Reporting capabilities for risk line of businesses. Additionally, the architect will also evaluate data tools and conduct Proof of Concepts to arrive at recommended solutions and develop remediation plans to implement those solutions.

Responsibilities:

• Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards
• Uses architecture tools to create design artifacts, including but not limited to Data models/architecture, API design and data solutions architecture.
• Leads strategy & architecture for one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services.
• Design data products to provide high quality data for quantitative modeling solutions for GRM.
• Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain.
• Evangelize and design new data solutions and capabilities to support risk lines of businesses.
• Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture.
• Participates in building the business cases required to secure approval and funding for the Data and Analytical efforts.
• Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical)
• Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.

Required Skills:

• Bachelors degree in computer science / engineering, Data Science or Analytics and 6+ years of experience in data platform/solutions and data management architecture; or if Masters degree, 5+ years experience.
• Strong experience driving the design and development of data solutions, data management & governance products as well as data and reporting platforms.
• Expertise in architecting complex design patterns, microservices, API design, data warehouse and data lakes and data pipelines.
• Ability to drive data strategy and deep understanding of industry paradigms such as data mesh, data contracts, integration fabric etc.
• Experience with relational and NoSQL data stores and big data environments.
• Hands-on expertise with data technologies and computing frameworks including but not limited to, Python, Spark, Airflow, Javascript and SQL.
• Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.
• Experience with data modeling for complex data pipelines, data lake and data platforms.
• Strong experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
• Exceptional communication skills and the ability to communicate effectively at all levels of the organization; this includes written and verbal communications as well as visualizations.

Desired Skills:

• Working knowledge of data storage layers / formats such as Apache Iceberg, Hudi, Delta Lake etc. as well as Parquet, JSON and Avro.
• Experience with Graph processing and storage technologies such as Knowledge Graphs / Property Graphs with working knowledge of at-least one graph store such as TigerGraph (preferred).
• Exposure to Linked Data / Open Data, and GenAI based data solutions is a plus.

Shift:

1st shift (United States of America)

Hours Per Week:

405 years experience

Data Strategy Solutions Architect
Charlotte, North Carolina
**To proceed with your application, you must be at least 18 years of age.**
Acknowledge
Refer a friend
**To proceed with your application, you must be at least 18 years of age.**
Acknowledge ( Description:**
At Bank of America, we are guided by a common purpose to help make financial lives better through the power of every connection. We do this by driving Responsible Growth and delivering for our clients, teammates, communities and shareholders every day. Being a Great Place to Work is core to how we drive Responsible Growth. This includes our commitment to being an inclusive workplace, attracting and developing exceptional talent, supporting our teammates' physical, emotional, and financial wellness, recognizing and rewarding performance, and how we make an impact in the communities we serve. Bank of America is committed to an in-office culture with specific requirements for office-based attendance and which allows for an appropriate level of flexibility for our teammates and businesses based on role-specific considerations. At Bank of America, you can build a successful career with opportunities to learn, grow, and make an impact. Join us!
**Job Description:**
Global Risk Management (GRM) leads bank-wide initiatives for management of all aspects of risk, including strategic, market, credit, compliance, liquidity, operational, model and reputational risk matters to support sustainable, profitable corporate growth.
In a data driven economy, strategic data asset management is foundational to add to the enterprise value. Within GRM, we have established the Data Strategy & Management (DSM) function. A key pillar of this function is a strong data management, data architecture and data platforms foundation.
Under the GRM DSM Executive's leadership, the Data Strategy Solutions Architect will evaluate the existing GRM data architecture and design solutions to simplify and optimize the data environment. The Data Strategy Solutions Architect will also be accountable for contributing to the architecture for Risk Data and Reporting Platform which will enable Data Management and Reporting capabilities for risk line of businesses. Additionally, the architect will also evaluate data tools and conduct Proof of Concepts to arrive at recommended solutions and develop remediation plans to implement those solutions.
**Responsibilities:**
+ Demonstrates knowledge of data solutions, data platforms, data management & governance practices and standards
+ Uses architecture tools to create design artifacts, including but not limited to Data models/architecture, API design and data solutions architecture.
+ Leads strategy & architecture for one or more data management products such as Data Catalog, Data Lineage, Data Feeds Registry, Data Quality and related data services.
+ Design data products to provide high quality data for quantitative modeling solutions for GRM.
+ Applies knowledge to perform regular assessments of the health and maturity of data & information capabilities for the Global Risk Management (GRM) domain.
+ Evangelize and design new data solutions and capabilities to support risk lines of businesses.
+ Participates in efforts to define the mission, goals, critical success factors, principles, and procedures for data strategy and information architecture.
+ Participates in building the business cases required to secure approval and funding for the Data and Analytical efforts.
+ Understands the end-to-end change impact by managing linkages from information capabilities to technical assets (operational + analytical)
+ Maintains integrated logical data models and data flows to understand data and its interdependencies regardless of its usage pattern.
**Required Skills:**
+ Bachelor's degree in computer science / engineering, Data Science or Analytics and 6+ years of experience in data platform/solutions and data management architecture; or if Master's degree, 5+ years' experience.
+ Strong experience driving the design and development of data solutions, data management & governance products as well as data and reporting platforms.
+ Expertise in architecting complex design patterns, microservices, API design, data warehouse and data lakes and data pipelines.
+ Ability to drive data strategy and deep understanding of industry paradigms such as data mesh, data contracts, integration fabric etc.
+ Experience with relational and NoSQL data stores and big data environments.
+ Hands-on expertise with data technologies and computing frameworks including but not limited to, Python, Spark, Airflow, Javascript and SQL.
+ Ability to research new data technologies, architect novel data solutions for business problems and prove design approach through hands-on prototyping.
+ Experience with data modeling for complex data pipelines, data lake and data platforms.
+ Strong experience with data management platform such as Collibra (preferred) or understanding of open-source frameworks such as Apache Atlas, Amundsen, Datahub, Marquez etc.
+ Exceptional communication skills and the ability to communicate effectively at all levels of the organization; this includes written and verbal communications as well as visualizations.
**Desired Skills:**
+ Working knowledge of data storage layers / formats such as Apache Iceberg, Hudi, Delta Lake etc. as well as Parquet, JSON and Avro.
+ Experience with Graph processing and storage technologies such as Knowledge Graphs / Property Graphs with working knowledge of at-least one graph store such as TigerGraph (preferred).
+ Exposure to Linked Data / Open Data, and GenAI based data solutions is a plus.
**Shift:**
1st shift (United States of America)
**Hours Per Week:**
40
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Job Description

As the VP of Data Strategy & Governance, you will lead the organization's data governance initiatives, ensuring data is central to business decisions, processes, and long-term transformation. You will oversee enterprise-wide data quality, governance frameworks, and product assortment strategies to ensure competitiveness, profitability, and alignment with customer needs. You will collaborate extensively with business leaders, Finance, Supplier Relations and Category Management, E-Commerce, IT and data teams to ensure all data is trusted, well-governed, and audit ready.

Responsibilities:

• Develop and execute a comprehensive data governance strategy for business data at the customer, supplier and product level, leveraging the EDGE data governance methodology and aligning with organizational goals, omnichannel business needs, regulatory requirements, and industry best practices
• Define, implement, and maintain data governance policies, standards and procedures, drive compliance and sponsorship to data governance efforts
• Partner with commercial teams to facilitate product assortment strategies and implement those strategies across digital platforms
• Define assortment architecture and quality standards with each business unit, category, channel, and catalog to align with customer needs and company growth objectives.
• Facilitate long-range planning for product lifecycle management, including new product introductions, SKU rationalization, and end-of-life decisions; Partner with analytics teams to enable business monitoring of SKU productivity, profitability, and customer adoption metrics.
• Ensure product data integrity, standardization, and enrichment across all sales channels to support digital discoverability and operational efficiency
• Oversee business ownership and data quality management by developing and enforcing policies, tools, and processes that ensure accuracy, integrity, and continuous improvement of product, supplier, and customer data across all systems, supported by clear metrics and KPIs
• Collaborate with IT, data, and cross-functional business teams including enterprise systems, omnichannel, category management, supplier relations, product, inventory, and pricing to resolve data inconsistencies and ensure alignment of data strategy, objectives, and priorities with customer needs
• Translate complex data strategies into clear, actionable outcomes that resonate with non-technical leaders
• Build and lead a high-performing, product assortment, diverse data governance strategy and governance team, ensuring that team members have the skills and tools necessary to execute the data governance strategy effectively
  Ensure that the data governance function is adequately resourced, ensuring the right people, processes, and technologies are in place to maintain governance standards across the organization

Qualifications:

• Bachelors Degree - Computer Science, Information Management, Business Administration or related field required; Masters Degree preferred
• Licenses/Certificates/Designations - Advanced certification in data management, data governance or data privacy
• 15 years of progressive experience in data management, data governance, data privacy or related fields
• 5 years of senior leadership experience managing cross-functional teams and enterprise-wide initiatives in omnichannel business environments, with a proven ability to inspire, influence, and build consensus among diverse stakeholders, including executive leadership, category management, and board members
• In depth knowledge of data governance frameworks (e.g., DAMA-DMBOK, EDGE), data management technologies, regulatory environments, omnichannel retail or business models, and emerging trends in data and analytics
• Demonstrated experience with global data protection and privacy regulations including GDPR, CCPA, HIPAA, PCI DSS, etc.
• Strong understanding of data architecture, data modeling, master data management, metadata, data quality, data integration, and omnichannel technologies and methodologies
• Proven ability to develop and articulate a clear vision and strategy for data governance that aligns with business objectives, omnichannel goals, and digital transformation initiatives, while driving organizational change and fostering a data-centric, adaptable culture in evolving business, technology, and regulatory landscapes
• Ability to analyze complex data environments and omnichannel networks to identify areas of improvement and innovation and adept at identifying and resolving data-related issues within both enterprise and omnichannel contexts
• Expertise in managing large-scale projects and programs within budget and timelines, especially those impacting omnichannel and business operations
• Experience in an executive level role in data governance preferred
• Experience in the B2B distribution or adjacent industry preferred
• Ability to travel 25% - 50%

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About Us

This amount is what we reasonably believe we will pay for the position; however, offer amounts may vary based on factors such as geographic location, relevant education, experience, qualifications, skills, shift, or any collective bargaining agreements.

For eligible positions, compensation may also include participation in a bonus or sales compensation plan paid according to achievement against sales targets and/or business objectives. Depending on the role, equity and other forms of compensation may also be provided as part of a total compensation package. In addition, Wesco offers a full range of benefits such as paid time off, medical/dental/vision insurance, and retirement savings plans for eligible employees. More information about benefits is available here.

About the Team

At Wesco, we build, connect, power and protect the world. As a leading provider of business-to-business distribution, logistics services and supply chain solutions, we create a world that you can depend on.

Our Company's greatest asset is our people. Wesco is committed to fostering a workplace where every individual is respected, valued, and empowered to succeed. We promote a culture that is grounded in teamwork and respect. With a workforce of over 20,000 people worldwide, we embrace the unique perspectives each person brings. Through comprehensive benefits and active community engagement, we create an environment where every team member has the opportunity to thrive.

Learn more about Working at Wesco here and apply online today!

Founded in 1922 and headquartered in Pittsburgh, Wesco is a publicly traded (NYSE: WCC) FORTUNE 500® company.

Wesco International, Inc., including its subsidiaries and affiliates ("Wesco") provides equal employment opportunities to all employees and applicants for employment. Employment decisions are made without regard to race, religion, color, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, or other characteristics protected by law. US applicants only, we are an Equal Opportunity Employer.

Los Angeles Unincorporated County Candidates Only: Qualified applicants with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act.