Wealth Management - Kyc Data Product - Senior Associate

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

Product Manager role focused on KYC data products within Wealth Management at JPMorgan Chase. The role involves owning end-to-end delivery of data products, including ingestion, validation, persistence, transformations, and distribution. It requires strong data modeling, analytics, and requirements writing skills. The role explicitly mentions leveraging AI-assisted tools for SDLC activities like drafting stories, creating test scenarios, and analysis, but the core product is data, not AI models themselves.

What you'd actually do

  1. Own KYC 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, regulatory requirements, and data quality
  3. Define API contracts including payload structure, validations, idempotency expectations, error handling, versioning, and SLAs for KYC data flows
  4. Lead producer onboarding, testing approach, cutovers, and migrations or deprecations for KYC data sources
  5. Review and contribute to logical data models for KYC entities, ensuring attributes, relationships, and cardinalities support downstream compliance and distribution needs

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 compliance, business, technical, and data stakeholders

Nice to have

  • KYC domain experience including client identification, verification, due diligence, risk rating, and periodic review processes
  • Entity resolution and matching concepts knowledge
  • Experience defining data quality monitoring and operational SLAs and SLOs
  • Familiarity with regulatory frameworks such as AML, BSA, and CDD requirements
  • 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

  • KYC domain experience
  • Familiarity with regulatory frameworks such as AML, BSA, and CDD requirements