Technical Product Manager - Data Products

JOB DESCRIPTION

Are you a technically fluent product leader who thrives at the intersection of data, engineering, and business strategy? Join a team where your ability to translate complex systems into scalable, intelligent products will directly shape how the firm manages, governs, and activates its most critical data assets.

As a Product Manager at JPMorganChase within the Data Products Organization, you will own the full product lifecycle for digital, data, and analytics products — from discovery through production. You will partner with engineering, architecture, data science, and compliance teams to deliver reliable, scalable data capabilities that meet both business needs and regulatory standards.

Your work will directly influence how the firm leverages enterprise data, APIs, and AI-enabled experiences to drive measurable outcomes.

Job responsibilities

• Define and maintain product vision, roadmaps, objectives and key results, and adoption measures that align stakeholder priorities with delivery execution
• Lead Agile Scrum and Kanban ceremonies; manage backlogs, epics, features, user stories, acceptance criteria, dependencies, risks, milestones, and releases using tools such as Jira, Jira Align, or similar platforms
• Analyze application services, digital APIs, database logic, JSON payloads, and source dependencies to translate embedded logic into product requirements, technical designs, and reusable capabilities
• Build and validate data pipelines and prototypes using SQL, Python, and PySpark to support data discovery, transformation, and feature analysis
• Design conceptual, logical, physical, and polyglot data models; publish and manage data products across cloud warehouse and data lake environments
• Develop domain ontologies, semantic models, and AI-enabled retrieval workflows, including agentic interfaces, tool orchestration, and model context protocol services
• Embed data quality, lineage, security, controls, traceability, and regulatory requirements throughout the product delivery lifecycle
• Partner cross-functionally with engineering, architecture, data science, compliance, governance, and program management teams to deliver scalable and trustworthy products
• Communicate product strategy, technical decisions, and delivery status clearly to both implementation teams and senior stakeholders

Required qualifications, capabilities, and skills

• Formal training or certification on product engineering concepts and 5+ years applied experience
• 3+ years of experience delivering digital, data, analytics, or technology products within financial services, consulting, technology, or another highly regulated industry
• 3+ years of hands-on experience with SQL, Python, and PySpark for data discovery, transformation, pipeline development, testing, and delivery of production-grade products
• 3+ years of experience analyzing application services, APIs, and JSON structures, including service tracing, schema analysis, and translation of embedded logic into product and data requirements
• 3+ years of hands-on experience with cloud-based data warehouse and data lake platforms, including building, publishing, transforming, and consuming data products
• 2+ years of experience with logical and physical data modeling tools, including entities, relationships, schemas, keys, and source-to-target mappings
• 2+ years of experience with polyglot data modeling tools across relational, JSON, API, and NoSQL structures
• 3+ years of project management experience using Agile delivery tools, including delivery planning, risk and dependency management, milestone tracking, and governance reporting
• Demonstrated experience developing and deploying enterprise-grade generative AI and agentic solutions, including integration with enterprise data, APIs, security controls, and monitoring

Preferred qualifications, capabilities, and skills

• Advanced degree in Data Science, Information Systems, or a closely related discipline
• Experience with semantic retrieval, structured outputs, function calling, tool orchestration, evaluation frameworks, and model explainability
• Familiarity with data mesh, data product publishing patterns, and open table formats such as Apache Iceberg
• Ability to engage with engineers and architects at implementation depth while translating technical decisions into clear business narratives for senior audiences
• Experience working within a regulated financial services environment with exposure to data governance, lineage, and compliance frameworks

ABOUT US

Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.

We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company.

We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law.

We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

Equal Opportunity

Employer/Disability/Veterans

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions – all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure.

The team powers Chase with insights to create the best customer and business outcomes.