Senior Product Associate - Data Management

JPMorgan Chase & Co. • Plano, TX

9d

About The Position

The Senior Product Associate joins Consumer & Community Bank's Data & Analytics Data Management team to help build capabilities that make one of the world's largest data estates AI-ready. The role shapes products that evaluate and enrich catalog metadata, modernize data modeling, and monitor data health. Users include data owners, stewards, engineers, analysts, and AI agents.

The associate contributes to product development and optimization through user research, customer feedback, product analysis, and close collaboration with cross-functional teams. The work combines product management fundamentals with hands-on SQL, data analysis, design, and AI tools. The role supports products throughout discovery, development, launch, and post-launch iteration, with attention to governance, access, analytics, AI readiness, user outcomes, and scalable solutions.

Requirements

• 3+ years of experience or equivalent expertise in product management or a relevant domain area.
• Proficient knowledge of the product development life cycle.
• Experience with product life cycle activities, including discovery and requirements definition.
• Developing knowledge of data analytics and data literacy.
• Strong product management fundamentals, including discovery, prioritization, road-mapping, backlog management, and delivery across the product life cycle.
• Excellent communication skills, including engaging users, presenting, and giving demos; ability to collaborate hands-on with partners to deliver scalable solutions.
• Experience with a human-centered product development process, including user research, usability testing, and iteration based on feedback.
• Depth in data management, governance, and/or analytics, such as metadata, data quality, classification, or stewardship.
• Working SQL skills and understanding of data system fundamentals such as schemas, data models, and pipelines.
• Regular use of agentic tools such as Claude, Codex, or Copilot for research, analysis, writing, and prototyping, with judgment about when human review is needed.

Nice To Haves

• Experience taking a product from discovery through launch and post-launch iteration, with measurable results.
• Experience with data modeling, data catalogs, lineage, or metadata platforms such as DataHub, Collibra, or 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.

Responsibilities

• Partner with the Product Manager to identify product opportunities based on customer needs, market conditions, user research, and discovery.
• Consider upstream and downstream effects of new features on the overall product experience.
• Support user research, journey mapping, and market analysis to inform the product roadmap and identify valuable features.
• Analyze, track, and evaluate product metrics, including progress against time, cost, and quality targets across the product development life cycle.
• Write requirements, epics, and user stories, and prioritize high-value opportunities using a commercial mindset and firm and partner capabilities.
• Build relationships with users, engineering partners, and stakeholders; conduct interviews and usability testing to understand user needs.
• Develop understanding of how metadata, data health, and data models support governance, access, analytics, and AI readiness, and connect product decisions to those outcomes.
• Create clear documentation, presentations, and demos, and influence governance, platform, and engineering partners without formal authority.
• Use SQL, data analysis, design, and AI tools to investigate data, prototype ideas, and inspect and constructively challenge solution designs.
• Maintain a high-quality, prioritized backlog of clear, testable epics and stories; work with engineering on priorities, trade-offs, scrum events, and blockers.
• Reduce delivery risk through early validation with prototypes, spikes, and pilots, and testing during development and before release.
• Support product launch and post-launch activities by tracking adoption, outcomes, and value; triage feedback; and favor scalable, reusable solutions developed with partners.

Benefits

• Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
• Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
• Comprehensive health care coverage.
• On-site health and wellness centers.
• Retirement savings plan.
• Backup childcare.
• Tuition reimbursement.
• Mental health support.
• Financial coaching.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed