Product Manager Data and AI

JPMorgan Chase JPMorgan Chase · Banking · New York, NY +1 · Commercial & Investment Bank

Product Manager for Data and AI at JPMorgan Chase, focusing on Knowledge Management and enabling RAG and agentic workflows. Responsible for driving product vision, strategy, and the end-to-end product management lifecycle for AI use cases within the Chief Data & Analytics Office.

What you'd actually do

  1. Drive the product vision and strategy of enterprise Knowledge Management, enabling RAG and agentic workflows across unstructured data
  2. Partner closely with all lines of business to identify, prioritize and solution key AI and data use cases
  3. Drive the end-to-end product management lifecycle, including integration of data sources – from requirements gathering, prioritization, solutioning, writing clear PRDs and partnering with designers and engineers on execution
  4. Own, maintain, and develop a product backlog to support the overall strategic roadmap and value proposition
  5. Work with client engagement and product marketing teams to refine product positioning and messaging

Skills

Required

  • AI and data platform product management
  • Product development lifecycle
  • Design
  • Data analytics
  • Discovery
  • Ideation
  • Strategic development
  • Requirements definition
  • Value management
  • Communication of complex technical materials
  • Collaboration with senior stakeholders and technical leads
  • Ownership and accountability
  • Bachelor’s or Master’s degree in Machine Learning or Computer Science

Nice to have

  • Prior experience working in a highly matrixed, complex organization
  • Technical expertise in retrieval-augmented generation and advanced RAG, such as GraphRAG and search
  • Prior engineering experience
  • Python programming
  • SQL

What the JD emphasized

  • 5+ years of experience or equivalent expertise in AI and data platform product management or a relevant domain area
  • Advanced knowledge of the product development lifecycle, design, and data analytics
  • Track record of leading product management lifecycle activities including discovery, ideation, strategic development, requirements definition, and value management
  • Strong ability to communicate complex technical materials to technical and non-technical stakeholders, in both written and verbal forms
  • Excellent ability to collaborate with senior stakeholders and technical leads
  • Technical expertise in retrieval-augmented generation and advanced RAG, such as GraphRAG and search

Other signals

  • Product Manager for AI use cases
  • Build platform products to enable RAG and agentic workflows
  • Drive product vision and strategy for enterprise Knowledge Management