Senior Product Associate - Card Data Owners

JPMorgan Chase JPMorgan Chase · Banking · Wilmington, DE +1 · Consumer & Community Banking

This role is for a Senior Product Associate in the Data Privacy Product team at JPMorgan Chase, focusing on developing and optimizing analytical data products and generative AI solutions for the Card business. The role involves user research, metric analysis, cross-functional collaboration, and translating business requirements into technical specifications. While the role mentions generative AI solutions, its core function is product management and development within a financial services context, not direct AI/ML model building or research.

What you'd actually do

  1. 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
  2. Considers and plans for upstream and downstream implications of new product features on the overall product experience
  3. 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
  4. Analyzes, tracks, and evaluates product metrics including work to time, cost, and quality targets across the product development life cycle
  5. Writes the requirements, epics, and user stories to support product development

Skills

Required

  • product management
  • product development life cycle
  • discovery and requirements definition
  • data analytics
  • data literacy
  • API-first product design
  • data governance
  • real-time data processing
  • delivering enterprise-scale data products
  • Snowflake
  • delivering products, projects, or technology applications
  • influencing the adoption of key product life cycle activities
  • strategic development
  • requirements definition
  • value management
  • driving change within organizations
  • managing stakeholders across multiple functions
  • Structured thinker
  • effective communicator
  • excellent written and verbal communication skills
  • agile methodologies
  • data engineering
  • data pipelines
  • data modeling
  • data architecture

Nice to have

  • data querying with languages as Python, R, Perl, SQL
  • product development
  • technical design
  • data analytics
  • different data environ

What the JD emphasized

  • delivering enterprise-scale data products with measurable business outcomes
  • data governance
  • real-time data processing