Asset & Wealth Management Product Manager, Applied AI & Data Products Vice President

JPMorgan Chase

Confirmed live 2 days ago High trust

Quick summary

Work type
On-site
Location
Jersey City, NJ
Posted
17 days ago
Freshness
Confirmed live 2 days ago

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How this pay compares to similar roles

Similar $198k
$146k most similar roles pay here $240k

This listing doesn't post a salary. Most similar roles pay $170,625–$224,475.

Based on 240 similar postings.

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About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 1138 open roles on FindRole.

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TL;DR · Asset & Wealth Management Product Manager, Applied AI & Data Products Vice President

Asset & Wealth Management - Product Manager, Applied AI & Data Products - Vice President joins the Analytics & Applied AI team within the Chief Data & Analytics Office. This role involves owning the product strategy, vision, and multi-quarter roadmap for a portfolio of unified data products spanning applied AI, advanced analytics, visualization, and regulatory solutions. The manager will manage backlogs, conduct user discovery, define success metrics, and partner with engineering pods to deliver products powered by a federated data mesh. Key responsibilities include building LLM-powered features using retrieval-augmented generation (RAG) and AI agents while integrating AI tools into the daily product management workflow. Required skills include experience with Snowflake, Starburst, and Databricks. The role addresses complex data domains in wealth and private banking, ensuring products meet strict governance, privacy, and regulatory compliance standards.

What you'll do

  • Define and own the product vision, strategy, and multi-quarter roadmap for unified data products.
  • Manage the product backlog by writing clear requirements and user stories in partnership with engineering teams.
  • Conduct customer discovery and define success metrics to measure outcomes across the portfolio.
  • Build and ship AI-powered features including retrieval-augmented generation (RAG) and AI agents.
  • Integrate AI and LLM tools into your daily workflow to accelerate prototyping and requirement definition.
  • Partner with data science teams to operationalize models with proper controls for safety, privacy, and compliance.
  • Ensure all products adhere to data quality, governance, and regulatory standards throughout the lifecycle.
  • Deliver unified data products across multiple domains aligned with the federated data mesh strategy.

What we're looking for

  • Bachelor's degree required.
  • Advanced degree preferred.
  • 7+ years of experience in financial services, specifically in data and analytics or wealth/private banking domains.
  • Demonstrated experience delivering data, analytics, or AI products end to end.
  • Proven experience building and shipping AI- and LLM-powered products using tools like RAG and AI agents.
  • Familiarity with modern data platforms such as Snowflake, Starburst, or Databricks.
  • Strong analytical, communication, and stakeholder management skills to lead through influence across engineering pods.
  • Experience with regulatory/compliance data products, federated data mesh models, or GenAI patterns like prompt engineering (preferred).

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