JPMorgan Chase
Asset Management - Product Owner - Vice President
$133K–$215K
Brooklyn, NY · Director · Full-time · Posted Oct 9, 2026
- Experience
- At least 5 years of Financial Services experience; a proven track record in a Product Owner, Product Manager, or Delivery Lead role is also required, with no duration specified.
- Visa sponsorship
- Must be authorized to work in the United States. No employment-based immigration sponsorship or assistance with other immigration sponsorship or benefits, including OPT or CPT.
About the job
Owns the vision, roadmap, and end-to-end delivery of a critical Asset Management data product, including data services for client reporting, operations, and investment processes, with a focus on AI-enabled automation and data quality.
What you'll do
- Manage product intake, prioritization, roadmaps, releases, and delivery outcomes.
- Lead modernization of data platforms, quality tooling, metadata, lineage, and operational processes.
- Identify and deliver safe, explainable, governable AI opportunities; coordinate cross-functional teams and measure results.
What they ask for
- Track record as a Product Owner, Product Manager, or Delivery Lead for data products, platforms, or critical enterprise services.
- At least 5 years of Financial Services experience, combining data, technology, and operations experience with knowledge of Asset& Wealth Management data concepts.
- Experience delivering in agile environments with backlog discipline and outcome-based execution; comfortable with SQL and/or Python.
- Practical fluency with AI and Agentic AI for data products, and ability to assess value, risk, scalability, controls, and operational readiness.
Nice to have
- Hands-on with foundational AI tooling, including VS Code and GitHub Copilot.
- Hands-on with data-quality tooling, metadata platforms, lineage frameworks, and modern data platforms.
Pay
USD 133,000.00-$215,000.00 base salary
Tools
SQL, Python, VS Code, GitHub Copilot
AI focus
Uses AI and Agentic AI to automate reconciliations, detect anomalies, triage data issues, enrich metadata, handle exceptions, and orchestrate workflows; evaluates and delivers solutions that are safe, explainable, governable, and production-ready.
Model-written summary · the original posting is authoritative