Senior Product Associate - Data Governance

JPMorgan Chase & Co.•Jersey City, NJ

1d•$99,750 - $150,000

About The Position

This role focuses on product development and optimization within the Chief Data & Analytics Office (CDAO), Data Governance team. The Senior Product Associate will leverage user research, analyze metrics, and collaborate with cross-functional teams to drive customer value and contribute to product vision, discovery, and launches. The position supports scalable, resilient, and stable product outcomes by partnering with business, technology, and control stakeholders. Key responsibilities include communicating clearly, incorporating feedback and data for product improvement, and supporting the end-to-end product lifecycle. The role is crucial for accelerating JPMorganChase’s data and analytics journey by delivering data governance capabilities, including next-generation tooling and AI-for-data solutions, to enhance data quality, integrity, and responsible use. The team operates in a highly collaborative, regulated environment where risk, compliance, and reliability are paramount.

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 in product life cycle activities including discovery and requirements definition
Developing knowledge of data analytics and data literacy
Experience supporting product strategy, roadmap development, and value management through metrics and stakeholder input.
Ability to translate ambiguous problem statements into clear requirements, epics, and user stories in partnership with engineers and SMEs.
Strong written and verbal communication skills, able to explain technical concepts to both technical and non-technical audiences.
Experience working in highly collaborative environments with business, technology, and control partners to deliver production outcomes.
Ability to manage multiple priorities and deliver high-quality work under tight deadlines.
Analytical mindset with attention to detail, comfortable using data to drive decisions and measure outcomes.
Exposure to data governance and/or responsible data practices, including quality, integrity, lineage, catalog/metadata, stewardship, controls, and/or policy enablement.

Nice To Haves

Demonstrated prior experience working in a highly matrixed, complex organization
Experience with data governance domains (e.g., data quality, metadata/catalog, lineage, controls, stewardship, and/or policy enablement)
Experience delivering enterprise platforms or tooling used by diverse stakeholder groups across functions
Experience working in financial services or another highly regulated industry, partnering with risk/compliance stakeholders
Familiarity with AI/ML product delivery patterns, including responsible AI considerations and model risk/controls expectations
Experience operating products at scale with a focus on resiliency, stability, and operational excellence
Track record of influencing stakeholders and driving alignment across cross-functional teams

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.
Supports discovery efforts and market research to uncover customer problems and translate them into roadmap-ready solutions.
Helps own, maintain, and refine the product backlog, ensuring prioritization aligns to strategic goals and stakeholder outcomes.
Partners with engineers and subject matter experts to understand use cases, dependencies, and constraints, and to critically assess proposed solutions.
Contributes to defining and tracking success metrics (e.g., cost, feature/functionality, risk posture, reliability) and uses insights to drive iteration.
Coordinates with control functions to help ensure product deliverables meet policy, risk, and compliance expectations for regulated environments.
Establishes feedback loops and iteration plans to incorporate user insights and continuously improve product outcomes.