4,517 Data Consulting jobs in the United States

At Cotality, we are driven by a single mission-to make the property industry faster, smarter, and more people-centric. Cotality is the trusted source for property intelligence, with unmatched precision, depth, breadth, and insights across the entire ecosystem. Our talented team of 5,000 employees globally uses our network, scale, connectivity and technology to drive the largest asset class in the world. Join us as we work toward our vision of fueling a thriving global property ecosystem and a more resilient society.

Cotality is committed to cultivating a diverse and inclusive work culture that inspires innovation and bold thinking; it's a place where you can collaborate, feel valued, develop skills and directly impact the real estate economy. We know our people are our greatest asset. At Cotality, you can be yourself, lift people up and make an impact. By putting clients first and continuously innovating, we're working together to set the pace for unlocking new possibilities that better serve the property industry.

Job Description:

What You'll Be Doing:

The Principal Data Consultant works in partnership with Product Management, Sales, Customer Support, Order Management, Data Delivery centers, and other cross-functional groups to define and document requirements for standard and custom data products, and to further provide analytical and liaison support to the delivery of sustainable and streamlined data solutions. The hybrid-remote Principal Data Consultant leverages both data and client knowledge to define and align customer requirements to data extract specifications and deliverables while providing support to account executives and product managers regarding the applicability of CoreLogic geospatial assets to business use cases.

Key Job Duties

• Facilitate discovery of business requirements from client's perspective, translated into specifications which will deliver the right mix of data elements to enable clients to make timely and insightful decisions
• Collaborate with clients and internal stakeholders to ensure data needs are well understood
• Gather requirements from internal and external stakeholders to write extract specifications that meet client's needs
• Define user stories and requirements and conduct research / analysis in support of developing standardized layouts and packages to meet requirements
• Write detailed descriptions of user needs (including acceptance criteria) for the development of custom data extracts, or (preferentially) new standard data products
• Validate specifications with internal and external stake-holders to ensure they are consistent with articulated business requirements and deliver the expected results
• Coordinate issue resolution across multiple teams

What's in it For You:

• Large (~$2B+ revenue) formerly public information services and data business
• Durable cash flow and profitability regardless of changes in macroeconomic conditions
• Company certified as a global "A Great Place to Work."
• Hybrid or Remote working model- Hybrid- If you are located near an office location 1 day in the office a week for "moments that matter" and the rest of the time can be remote.
• Competitive compensation and benefits!
• Career path for continued professional growth.
• Working with leaders that care about your professional growth!
• Access to our world class self-development portal, centered around you as the employee. We take pride in our work and believe in cultivating a work environment that supports and values our greatest asset: our talented employees.

Job Qualifications:

• Bachelor's degree in Business Administration, Computer Science, relevant discipline, or equivalent experience.
• Minimum 10+ years of Business/Process Analyst or directly related experience in the same or related industry
• Excellent written and oral communication skills
• Ability to translate business requirements into complete and deliverable specifications•
• Excellent organizational and project management and facilitation skills. Ability to prioritize and handle multiple concurrent projects
• Excellent interpersonal skills for interacting with/influencing cross-functional teams and gaining consensus. Strong listening and question-based knowledge gathering skills
• Ability to synthesize and analyze data from a variety of sources, identify issues, draw conclusions, craft solutions, and client-facing explanations
• Experience working as a member of a distributed team. Ability to organize and coordinate with stakeholders across multiple functions and geographic locations
• Domain knowledge covering one or more aspects of the real estate economy (mortgage servicing, property insurance, credit, etc.(preferred)
• Experience authoring SQL queries, including multiple platforms' geospatial SQL syntax conventions
• Demonstratable experience leveraging a modern geospatial data stack for ETL, analysis, and visualization with ability to translate that experience to a similar tech stack
• Familiarity with diverse coding, profiling, and visualization approaches including Python, Tableau, and Google Cloud
• Extensive knowledge of client base, product, and data offerings
• Understanding of geospatial statistics, Big Data, Cloud PaaS, IaaS & DaaS, and AI/ML approaches and concepts
• Desire to mentor other team members in the nuances of geospatial toolsets and generally accepted geospatial data management

Annual Pay Range:
112,700 - 150,000 USD

Application Window:

This opportunity is expected to remain posted through the date identified below, subject to business needs.

2025-08-08

Thrive with Cotality

At Cotality, we offer more than just a job, we provide a benefits experience designed to support your whole self. From a flexible working model to competitive time off and standout health coverage with meaningful perks and growth opportunities, our package is built to help you thrive at work and in life.

Highlights include:

• Time off: Generous PTO and 11 paid holidays, plus well-being and volunteer time off.
• Family Support: Up to 16 weeks of fully paid parental leave and a baby stipend.
• Health: Multiple medical plan options with mental health and wellness support offerings.
• Retirement: 401(k) with company match and vesting after one year.
• Financial Perks: $00 annual well-being stipend and tuition assistance up to 5,250.
• Extras: Recognition Rewards, Referral bonuses, exclusive discounts and more!
• Click here to see a comprehensive list of our benefit offerings.

Please note, Qualifications, locations and experience of the individual ultimately selected for the position may impact the final actual offered compensation, which may vary from the posted range

Cotality is an Equal Opportunity employer committed to attracting and retaining the best-qualified people available, without regard to race, color, religion, national origin, gender, sexual orientation, gender identity, age, disability or status as a veteran of the Armed Forces, or any other basis protected by federal, state or local law. Cotality maintains a Drug-Free Workplace.

Cotality is fully committed to a work environment that embraces everyone's unique contributions, experiences and values. We offer an empowered work environment that encourages creativity, initiative and professional growth and provides a competitive salary and benefits package. We are better together when we support and recognize our differences.

Privacy Policy

Global Applicant Privacy Policy

By providing your telephone number, you agree to receive automated (SMS) text messages at that number from Cotality regarding all matters related to your application and, if you are hired, your employment and company business. Message & data rates may apply. You can opt out at any time by responding STOP or UNSUBSCRIBING and will automatically be opted out company-wide.

Connect with us on social media! Click on the quicklinks below to find out more about our company and associates

Job DescriptionJob DescriptionGCP Data Engineer – Consulting Role

Location: Onsite in Dallas, TX
Duration: 12 Months
US Required: Yes

Role Overview:

We're looking for an experienced GCP Data Engineer to design, develop, and implement scalable data pipelines and solutions using Google Cloud Platform services. The ideal candidate will have strong experience in ETL development, CI/CD automation, and working with large data sets in cloud- environments.

Key Responsibilities:

• Build and manage data pipelines using GCP services: BigQuery, Dataflow, Cloud Storage, Pub/Sub, Cloud Composer, etc.

• Use PySpark, Spark SQL, and Python to process large datasets

• Create and optimize complex SQL queries for business data insights

• Develop monitoring systems for proactive data issue detection

• Implement CI/CD pipelines using Jenkins, GitHub, and GitHub Actions

• Follow GCP architecture best practices and conduct code/design reviews

Skills & Experience:

• Hands-on experience with Compute Engine, Kubernetes Engine, DataProc, Cloud Functions

• Proficiency in PySpark, DataFrames, and PyTest

• Strong SQL and data modeling skills

• Background in ETL and data lifecycle management

• Familiarity with Agile and DevOps practices

Hiring Timeline:

• Resume Deadline: May 16, 2025

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.

Acknowledge

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

Acknowledge (

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
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.

Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast-paced entrepreneurial engineering environment and take ownership of critical technical and business decisions that directly impact EPAM and our clients?

As one of the world's leading digital transformation service providers, we are looking to aggressively expand our Data Practice across North America to meet increasing client demand for our services. We are looking for people at the Senior Director and Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).

The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI-driven solutions, and play a highly visible leading role in the organization whilst partnering closely with multiple clients across various industries and our Data leadership teams globally.

We offer a flexible work set-up with face-to-face client meetings from time to time.

Req. #275921385

Responsibilities

• Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development, and implementation of ML/AI solutions for clients

• Connect across the organization to drive AI adoption in verticals, envision new products, solutions, offerings, and other differentiators

• Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them

• Collaborate with cross-functional teams to define project scope, develop datasets, and apply appropriate ML algorithms to deliver high-quality solutions

• Leveraging your technical expertise and engaging senior decision-makers

• Shape ML solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase

• Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution

• Engage client stakeholders, including executive / C-level, helping them drive enterprise-wide agenda to maximize AI adoption

• Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate

• Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations

Requirements

• Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions

• Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models, etc

• Solid understanding of ML algorithms, both classical and Deep Learning based

• Demonstrated leadership experience, driving internal and external multi-dimensional teams to deliver AI products

• Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects

• Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships

• Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow

• Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions

• Bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience

We offer

• Medical, Dental and Vision Insurance (Subsidized)

• Health Savings Account

• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

• Short-Term and Long-Term Disability (Company Provided)

• Life and AD&D Insurance (Company Provided)

• Employee Assistance Program

• Unlimited access to LinkedIn learning solutions

• Matched 401(k) Retirement Savings Plan

• Paid Time Off - the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)

• Paid Holidays - nine (9) total per year

• Legal Plan and Identity Theft Protection

• Accident Insurance

• Employee Discounts

• Pet Insurance

• Employee Stock Purchase Program

• If otherwise eligible, participation in the discretionary annual bonus program

• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

This Remote Position Cannot be Performed in New York City.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

YouTube video player (

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $181,000 - $280,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

Applications will be accepted on a rolling basis.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance's key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast-paced entrepreneurial engineering environment and take ownership of critical technical and business decisions that directly impact EPAM and our clients?

As one of the world's leading digital transformation service providers, we are looking to aggressively expand our Data Practice across North America to meet increasing client demand for our services. We are looking for people at the Senior Director and Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).

The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI-driven solutions, and play a highly visible leading role in the organization whilst partnering closely with multiple clients across various industries and our Data leadership teams globally.

We offer a flexible work set-up with face-to-face client meetings from time to time.

Req. #275921385

Responsibilities

• Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development, and implementation of ML/AI solutions for clients

• Connect across the organization to drive AI adoption in verticals, envision new products, solutions, offerings, and other differentiators

• Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them

• Collaborate with cross-functional teams to define project scope, develop datasets, and apply appropriate ML algorithms to deliver high-quality solutions

• Leveraging your technical expertise and engaging senior decision-makers

• Shape ML solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase

• Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution

• Engage client stakeholders, including executive / C-level, helping them drive enterprise-wide agenda to maximize AI adoption

• Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate

• Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations

Requirements

• Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions

• Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models, etc

• Solid understanding of ML algorithms, both classical and Deep Learning based

• Demonstrated leadership experience, driving internal and external multi-dimensional teams to deliver AI products

• Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects

• Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships

• Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow

• Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions

• Bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience

We offer

• Medical, Dental and Vision Insurance (Subsidized)

• Health Savings Account

• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

• Short-Term and Long-Term Disability (Company Provided)

• Life and AD&D Insurance (Company Provided)

• Employee Assistance Program

• Unlimited access to LinkedIn learning solutions

• Matched 401(k) Retirement Savings Plan

• Paid Time Off - the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)

• Paid Holidays - nine (9) total per year

• Legal Plan and Identity Theft Protection

• Accident Insurance

• Employee Discounts

• Pet Insurance

• Employee Stock Purchase Program

• If otherwise eligible, participation in the discretionary annual bonus program

• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

This Remote Position Cannot be Performed in New York City.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

YouTube video player (

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $181,000 - $280,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

Applications will be accepted on a rolling basis.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance's key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.

Are you an avid technologist who enjoys solving and driving complex Data & Analytics challenges? Are you hungry to thrive in a fast-paced entrepreneurial engineering environment and take ownership of critical technical and business decisions that directly impact EPAM and our clients?

As one of the world's leading digital transformation service providers, we are looking to aggressively expand our Data Practice across North America to meet increasing client demand for our services. We are looking for people at the Senior Director and Director level within the Data & Analytics/Data Science Consulting Practice with a specific focus on Machine Learning (ML) and Artificial Intelligence (AI).

The roles offer exciting opportunities to work with leading-edge technologies, deliver ML/AI-driven solutions, and play a highly visible leading role in the organization whilst partnering closely with multiple clients across various industries and our Data leadership teams globally.

We offer a flexible work set-up with face-to-face client meetings from time to time.

Req. #275921385

Responsibilities

• Provide technical leadership and strategic direction expertise in ML and AI, driving the design, development, and implementation of ML/AI solutions for clients

• Connect across the organization to drive AI adoption in verticals, envision new products, solutions, offerings, and other differentiators

• Engage with clients to understand their business challenges and requirements, and effectively communicate how ML/AI solutions can address them

• Collaborate with cross-functional teams to define project scope, develop datasets, and apply appropriate ML algorithms to deliver high-quality solutions

• Leveraging your technical expertise and engaging senior decision-makers

• Shape ML solutions and properly scope/price engagements, establishing optimal operating models and project team organization, and leading the transition from the sales process to the delivery phase

• Foster and maintain strong relationships with clients, ensuring their satisfaction through effective project delivery, clear communication, and timely issue resolution

• Engage client stakeholders, including executive / C-level, helping them drive enterprise-wide agenda to maximize AI adoption

• Stay updated with the latest advancements in ML/AI and emerging technologies, proactively recommending new approaches and methodologies to address challenges in the space/markets and geographies in which the clients operate

• Support sales / pre-sales activities by assessing Data opportunities, responding to RFPs, creating proposals and presentations

Requirements

• Strong experience in a senior/leadership role within Data & Analytics/ML/AI as well as a proven track record in designing and implementing ML/AI solutions

• Knowledge and understanding of different architectures: CNN/RNN, Transformers, LLM, Multimodal, Foundation models, etc

• Solid understanding of ML algorithms, both classical and Deep Learning based

• Demonstrated leadership experience, driving internal and external multi-dimensional teams to deliver AI products

• Demonstrated experience in engaging and influencing senior stakeholders to secure funding or sell ML/AI projects

• Strong communication skills, with the ability to explain complex technical concepts to both technical and non-technical audiences, capable of collaborating with cross-functional teams in different geographies and building strong client relationships

• Technical proficiency in programming languages such as Python and ML libraries/frameworks such as PyTorch/TensorFlow

• Excellent problem-solving skills and the ability to analyse complex business requirements and translate them into practical ML/AI solutions

• Bachelor's or master's degree in Computer Science, Data Science, or a related field or relevant work experience

We offer

• Medical, Dental and Vision Insurance (Subsidized)

• Health Savings Account

• Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)

• Short-Term and Long-Term Disability (Company Provided)

• Life and AD&D Insurance (Company Provided)

• Employee Assistance Program

• Unlimited access to LinkedIn learning solutions

• Matched 401(k) Retirement Savings Plan

• Paid Time Off - the employee will be eligible to accrue 15-25 paid days, depending on specific level and tenure with EPAM (accrual eligibility may change over time)

• Paid Holidays - nine (9) total per year

• Legal Plan and Identity Theft Protection

• Accident Insurance

• Employee Discounts

• Pet Insurance

• Employee Stock Purchase Program

• If otherwise eligible, participation in the discretionary annual bonus program

• If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program

This Remote Position Cannot be Performed in New York City.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential.

YouTube video player (

This posting includes a good faith range of the salary EPAM would reasonably expect to pay the selected candidate. The range provided reflects base salary only. Individual compensation offers within the range are based on a variety of factors, including, but not limited to: geographic location, experience, credentials, education, training; the demand for the role; and overall business and labor market considerations. Most candidates are hired at a salary within the range disclosed. Salary range: $181,000 - $280,000. In addition, the details highlighted in this job posting above are a general description of all other expected benefits and compensation for the position.

Applications will be accepted on a rolling basis.

In accordance with the LA County Fair Chance Ordinance, you may find a copy of the Notice containing a summary of the Ordinance's key provisions here: Concept FCO Posting 8 27 24 (lacounty.gov)

It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.

EPAM Systems, Inc. is an equal opportunity employer. We recognize the value of diversity and inclusion in creating success for our customers, business partners, shareholders, employees and communities. We are committed to recruiting, hiring, developing and promoting employees without discrimination. As a global employer, this commitment includes complying with all laws in the countries in which we operate. Nevertheless, we believe equal employment practices should not be limited to what the law requires. Equal opportunity and inclusion are essential to motivate, empower and recognize the best in everyone.

At EPAM, employment actions are based on individual qualifications, without regard to race, color, religion, creed, gender, pregnancy status, sexual orientation, gender identity, gender expression, marital or familial status, national origin, ancestry, genetics, age, disability status, veteran status, citizenship status when otherwise legally able to work, or any other characteristic protected by law.