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JPMorgan Payments Data & Analytics Product Owner 
United States, New York, New York 
112150809

09.09.2025

Job responsibilities
  • Develops a product strategy and product vision that delivers value to customers
  • Manages discovery efforts and market research to uncover customer solutions and integrate them into the product roadmap
  • Owns, maintains, and develops a product backlog that enables development to support the overall strategic roadmap and value proposition
  • Builds the framework and tracks the product's key success metrics such as cost, feature and functionality, risk posture, and reliability
  • Develops a deep understanding of our clients’ needs and business challenges.
  • Acts as a visionary and thought leader in transforming how data is used across payments.
  • Drives the end-to-end development of new analytics solutions and capabilities including ideation, product strategy, delivery, and commecialization. Work directly with engineering and data science teams, providing clarity around goals and acceptance criteria.
  • Exhibits strong project management skills, effectively planning tasks and managing product delivery timelines.
  • Leads cross-functional teams as both a direct and indirect manage
Required qualifications, capabilities, and skills
  • 5+ years of experience or equivalent expertise in product management or a relevant domain area
  • Advanced knowledge of the product development life cycle, design, and data analytics
  • Proven ability to lead product life cycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Execution focused and comfortable dealing with uncertainty in decision making.
  • Superior problem structuring and communication skills to enable senior management decision making.
  • Understand how to use data to drive business value leveraging a range of analytical tools (e.g. SQL, Python).
Preferred qualifications, capabilities, and skills
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Understanding of cloud computing platforms and various data access patterns for BI and AI
  • Experience in large SaaS or data organizations