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JPMorgan Senior Product Associate - Customer Identity & Authentication 
United States, New Jersey, Jersey City 
129357573

23.06.2025

Job 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 plans for the future across the product development life cycle
  • Writes the requirements, epics, and user stories to support product development
  • Assists in the integration of vendor data into the platform, improving compliance with data governance and security standards.
  • Collaborates with data engineering teams to troubleshoot and resolve issues related to data ingestion and processing
  • Assists audits of vendor data sources to ensure accuracy and reliability, reporting any discrepancies to senior management
Required qualifications, capabilities, and skills
  • 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 building and running platforms at scale
  • Excellent verbal and written communication skills
  • Ability to communicate effectively with stakeholders at all levels
Preferred qualifications, capabilities, and skills
  • Demonstrated prior experience working in a highly matrixed, complex organization
  • Data-mindset – familiarity with data products and principles a plus
  • Proficiency in SQL for querying and managing databases
  • Understanding of database models, design, and architecture