AI-Powered Product Manager — Unified Data & Analytics

Socket.dev

New Jersey

On-site

USD 150,000 - 210,000

Full time

4 days ago
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Job summary

JPMorgan Chase & Co. is seeking a VP Product Manager to own the strategy and delivery of unified data products across applied AI, analytics, visualization, and regulatory domains within the Chief Data & Analytics Office (CDAO).

You will lead discovery, roadmaps, backlog and OKRs, partnering with engineering, data science and governance teams to ship AI-enabled data products. This AI-forward role requires proven experience delivering data/AI products end-to-end and navigating complex regulatory

Qualifications

  • 7+ years in data and analytics or wealth/private banking.
  • End-to-end product management experience for data and/or AI products.
  • Proven ability to ship AI/LLM-powered features and workflows.
  • Familiarity with data platforms and data mesh concepts.
  • Strong communication and stakeholder management skills.

Responsibilities

  • Define and own the product vision, strategy, and multi-quarter roadmap for the data products portfolio.
  • Own and prioritize the product backlog; write requirements and user stories; partner with engineering on delivery.
  • Conduct customer discovery, define success metrics (KPIs/OKRs), and measure outcomes.
  • Manage stakeholders across CDAO, Global Private Bank, and partner teams; communicate trade-offs.
  • Champion data quality, governance, privacy, and regulatory compliance throughout the lifecycle.
  • Collaborate with applied AI and data science teams to operationalize models responsibly.

Skills

Product management
AI/LLM products
Data mesh
Regulatory/compliance
Stakeholder management
Data platforms

Education

Bachelor's degree

Tools

Snowflake
Databricks
Starburst

Job description

JPMorgan Chase & Co. is seeking a VP Product Manager to own the strategy and delivery of unified data products across applied AI, analytics, visualization, and regulatory domains within the Chief Data & Analytics Office (CDAO).

You will lead discovery, roadmaps, backlog and OKRs, partnering with engineering, data science and governance teams to ship AI-enabled data products. This AI-forward role requires proven experience delivering data/AI products end-to-end and navigating complex regulatory

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