JP Morgan Chase

Runs a consumer bank and an investment bank

Senior Product Associate - Data Management

Technical Product ManagementConfirmed live in the last 24 hours

Full-timePlano, TX, USANo salary listedIn-person

About the Job

Requirements

At least 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 in discovery, prioritization, road-mapping, backlog management, and delivery across the product life cycle.
Experience working in 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 an understanding of data system fundamentals such as schemas, data models, and pipelines.
Regular use of agentic tools such as Claude, Codex, or Copilot to research, analyze, write, and prototype, with judgment about when output needs human review.

Responsibilities

Partner with the Product Manager to identify product opportunities reflecting customer and market needs through user research and discovery.
Consider and plan for upstream and downstream implications of new features on the overall product experience.
Support the collection of user research, journey mapping, and market analysis to inform the strategic product roadmap and identify potential customer-valued features.
Analyze, track, and evaluate product metrics, including performance against time, cost, and quality targets throughout the product development life cycle.
Write requirements, epics, and user stories to support product development; find 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.
Learn how metadata, data health, and data models drive 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, and partner with engineering on priorities, trade-offs, scrum events, and blockers.
Reduce delivery risk by validating early with prototypes, spikes, and pilots, and testing throughout development and before release.
Support launch and post-launch activities by tracking adoption, outcomes, and value; triage feedback; and favor scalable, reusable solutions built with partners.

Desired Qualifications

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.

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 the Company

JP Morgan Chase

Runs a consumer bank and an investment bank

JPMorgan Chase runs the largest bank in the United States, which serves households and small businesses as Chase and large companies, governments, and investors as J.P. Morgan. During the 2008 financial crisis it bought the failing investment bank Bear Stearns and lender Washington Mutual, and in 2023 it took over First Republic Bank after regulators seized it. Chase takes deposits and earns interest on credit cards, mortgages, and car loans, while the investment side earns fees for advising on mergers, raising money for companies, trading stocks and bonds, and managing wealth. Formed in a 2000 merger, JPMorgan Chase traces its roots to 1799 and is based in New York City.

Company size: 10,001+
Company stage: IPO
Headquarters: New York City, New York
Founded: 1799

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