Job Description Unleash your expertise in product development and optimization by leveraging user research, analyzing metrics, and collaborating across one of the world's most innovative financial organizations. Join the Consumer & Community Bank's Data & Analytics Data Management team as a Senior Product Associate and build capabilities that ensure AI readiness for one of the largest data estates in the world. You'll shape products that evaluate and enrich metadata, modernize data modeling, and monitor data health by combining strong product fundamentals with hands-on SQL, AI tools and close work with users. Build AI-readiness capabilities for one of the largest data estates worldwide.
As a Senior Product Associate in Consumer & Community Bank's Data & Analytic Data Management team, you contribute to the team by leveraging your expertise in product development and optimization to make a significant impact, supported by user research and customer feedback to fuel the creation of innovative products and continuously improve existing offerings. Collaborate closely with cross-functional teams and play a crucial role in shaping the future of our products and ongoing success. You will help shape products that evaluate and enrich catalog metadata, modernize data modeling, and monitor data health. Our users include data owners, stewards, engineers, analysts and AI agents.
Job responsibilities - Partners with the Product Manager to identify new product opportunities that reflect the needs of our customers and the market through user research and discovery
- Considers and plans for upstream and downstream implications of new product features on the overall product experience
- Supports the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and provide insight on potential product features that provide value to customers
- Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
- Writes the requirements, epics, and user stories to support product development . Find and prioritize the highest-value opportunities, bringing a commercial mindset and using firm and partner capabilities
- Builds relationships with users, engineering partners, and stakeholders, and listens through interviews and usability testing to understand their needs
- Learns how metadata, data health and data models drive governance, access, analytics and AI readiness, and ties decisions to those outcomes
- Brings clarity through crisp documentation, presentations and demos, and influences governance, platform and engineering partners without formal authority
- Gets hands-on with SQL, data analysis, design, and AI tools to investigate data, prototype ideas, and inspect and constructively challenge solution designs
- Maintains a high-quality, prioritized backlog of clear, testable epics and stories, and partners with engineering on priorities, trade-offs, scrum events, and blockers
- Reduces delivery risk by validating early with prototypes, spikes and pilots, and by testing throughout development and before release. Supports launch and post-launch: tracks adoption, outcomes and value, triages feedback, and favors scalable, reusable solutions built with partners
Required qualifications, capabilities, and skills - 3+ years of experience or equivalent expertise in product management or a relevant domain area
- Proficient knowledge of the product development life cycle
- Experience in product life cycle activities including discovery and requirements definition
- Developing knowledge of data analytics and data literacy
- Strong product management fundamentals: discovery, prioritization, road-mapping, backlog management and delivery across the product life cycle
- Excellent communicator who enjoys engaging users, presenting and giving demos, and a hands-on collaborator who works with partners to deliver scalable solutions
- Experience working in a human-centered product development process, including user research, usability testing and iterating on feedback
- Depth in data management, governance and/or analytics, such as metadata, data quality, classification or stewardship
- Working SQL skills and an understanding of data system fundamentals such as schemas, data models and pipelines
- Uses agentic tools like Claude, Codex, or Copilot regularly to research, analyze, write, and prototype, with judgment about where output needs a human check
Preferred qualifications, capabilities, and skills - Has taken a product from discovery through launch and post-launch iteration, with measurable results
- Experience with data modeling, data catalogs, lineage or metadata platforms (e.g., DataHub, Collibra, Alation)
- Experience building AI-powered products in a regulated environment
- Experience in financial services or another regulated industry
- Experience with data analytics, reporting, quality measurement, publishing, observability, and governance
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.
