AI-Driven Data Product Manager: Applied AI & Analytics

Aumni; Jersey City (NJ); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Health care coverage

Retirement savings plan

On-site wellness centers

Tuition reimbursement

Job summary

JPMorgan Chase & Co. is seeking an AI-forward Product Manager in Private Bank to own the strategy and delivery of unified data products spanning applied AI, analytics, visualization, and regulatory domains.

You will lead a portfolio with a strong emphasis on AI/LLM-enabled features, governance, and cross-functional collaboration with engineering, AI teams, and Compliance. The role combines traditional product management with hands-on delivery, discovery, and metric-driven outcomes, leveraging

Qualifications

• 5+ years of product management experience in data/analytics/AI
• Experience shipping AI/LLM-enabled data products
• Familiarity with modern data platforms and data mesh concepts

Responsibilities

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

Skills

Product management

AI/LLM tooling

Stakeholder management

Data platforms

Financial services experience

Communication

Education

Bachelor's degree

Advanced degree

Tools

Snowflake

Databricks

Starburst

RAG / AI agents

Job description

JPMorgan Chase & Co. is seeking an AI-forward Product Manager in Private Bank to own the strategy and delivery of unified data products spanning applied AI, analytics, visualization, and regulatory domains.

You will lead a portfolio with a strong emphasis on AI/LLM-enabled features, governance, and cross-functional collaboration with engineering, AI teams, and Compliance. The role combines traditional product management with hands-on delivery, discovery, and metric-driven outcomes, leveraging