Party and Account Data Product Manager - Senior Associate

JPMorgan Chase JPMorgan Chase · Banking · Jersey City, NJ +1 · Asset & Wealth Management

Product Manager for Party and Account Data products in Wealth Management at JPMorgan Chase. Owns end-to-end delivery from ingestion to distribution, focusing on data modeling, API contracts, batch distribution, and GraphQL schema evolution. Leverages AI-assisted tools for SDLC activities and ensures data quality, PII handling, and auditability. Requires strong product management, data modeling, and SQL skills.

What you'd actually do

  1. Own Party and Account data products end-to-end, managing backlog across ingestion, validation, persistence, transformations, and distribution
  2. Write epics and user stories with clear acceptance criteria tied to consumer outcomes and data quality
  3. Define API contracts including payload structure, validations, idempotency expectations, error handling, versioning, and SLAs
  4. Lead producer onboarding, testing approach, cutovers, and migrations/deprecations
  5. Review and contribute to logical and conceptual data models, ensuring entities, attributes, relationships, cardinalities, and shared definitions support downstream distribution and reuse

Skills

Required

  • 5+ years of experience as a Product Owner, Business Analyst, or Product Manager in data or technology delivery
  • Strong requirements writing and backlog management skills with comfort working in agile delivery
  • Ability to read logical data models and create conceptual data models with clear entities, relationships, and shared definitions
  • Strong SQL and data reasoning skills with ability to validate data issues and fixes
  • Familiarity with batch distribution patterns and GraphQL fundamentals including schema, queries, pagination, and filtering
  • Demonstrated ability to use AI-assisted tools as part of SDLC for requirements, testing, documentation, and analysis support with appropriate validation and controls mindset
  • Strong collaboration and relationship-building skills with business, technical, and data stakeholders

Nice to have

  • Party, Account and Relationships domain experience including identifiers, hierarchies, relationships, and account types
  • Entity resolution and matching concepts knowledge
  • Experience defining data quality monitoring and operational SLAs and SLOs
  • Familiarity with microservices architecture and analytics platforms
  • Experience in wealth management or related financial services
  • Ability to prepare and present information to management and cross-functional teams
  • Analytical mindset with the ability to break down and solve complex problems

What the JD emphasized

  • AI-assisted practices across the SDLC
  • Use AI tools to accelerate SDLC activities
  • Demonstrated ability to use AI-assisted tools as part of SDLC