Product Manager, AI & Data Products – Wealth

JPMorganChase; Jersey City (NJ); On-site; USD 180,000 - 240,000; Full time

Job summary

JPMorganChase is seeking a Vice President-level Product Manager to own the strategy and delivery of a portfolio of unified data products across applied AI, analytics, visualization, and regulatory domains. The role blends traditional PM practices with hands-on ownership of key AI-enabled initiatives, leveraging RAG and AI agents to accelerate discovery and delivery.

You will partner with engineering, data science, and governance teams to ensure data quality, privacy, and compliance while

Qualifications

• 7+ years in data/analytics within financial services at VP level
• End-to-end product management of data/analytics/AI products
• Experience shipping AI/LLM-powered features and using AI tools in PM workflows
• Familiarity with modern data platforms and data mesh concepts
• Strong analytical and stakeholder management skills
• Bachelor's degree required

Responsibilities

• Define product vision, strategy, and multi-quarter roadmap for data products
• Own and prioritize backlog; write requirements and user stories; collaborate with engineering
• Conduct discovery, define KPIs/OKRs, measure outcomes
• Manage stakeholders across CDAO, Global Private Bank, and partner teams
• Champion data quality, governance, privacy, and regulatory compliance
• Lead AI/LLM-powered product initiatives and implement RAG and AI agents
• Collaborate with applied AI and data science teams to deploy models responsibly
• Promote AI-forward mindset across the portfolio
• Deliver unified data products across multiple data domains

Skills

Product management

AI/LLM tooling

Data platforms

Stakeholder management

Communication

Education

Bachelor's degree

Advanced degree a plus

Tools

Snowflake

Starburst

Databricks

Job description

JPMorganChase is seeking a Vice President-level Product Manager to own the strategy and delivery of a portfolio of unified data products across applied AI, analytics, visualization, and regulatory domains. The role blends traditional PM practices with hands-on ownership of key AI-enabled initiatives, leveraging RAG and AI agents to accelerate discovery and delivery.

You will partner with engineering, data science, and governance teams to ensure data quality, privacy, and compliance while