Drimva

JPMorgan Chase

Vice President Product Manager - Consumer Community Banking Data & Analytics, Data Management

$133K–$215K

Jersey City, NJ +1 · Director · Full-time · Posted Oct 13, 2026

Location
Jersey City, NJ
Columbus, OH
Experience
5+ years of experience or equivalent expertise in product management or a relevant domain area.
Visa sponsorship
No employment-based immigration sponsorship; no assistance or documentation for other immigration sponsorship or benefits, including OPT or CPT.

About the job

Leads product strategy and lifecycle for enterprise data management capabilities, including AI-powered agents that automate data discovery, cataloging, quality remediation, and governance workflows.

What you'll do

  • Develop data management product strategy, conduct customer discovery, and manage the roadmap and backlog.
  • Define and track product metrics, partnering with governance, engineering, and consuming teams on regulatory, privacy, and metadata requirements.
  • Set strategy and success measures for agentic AI features and work with AI/ML engineering on operationalization, guardrails, and responsible use.

What they ask for

  • 5+ years of experience or equivalent expertise in product management or a relevant domain area.
  • Advanced knowledge of the product development life cycle, design, and data analytics; ability to lead product lifecycle activities.
  • Working knowledge of data management disciplines such as governance, metadata, cataloging, lineage, or quality.
  • Familiarity with generative and agentic AI concepts, plus experience shipping AI-powered or agent-driven features.

Nice to have

  • Prior experience in a highly matrixed, complex organization.
  • Familiarity with data platforms, cataloging tools, or data governance frameworks.

Pay

USD 133,000.00-$215,000.00 base salary

Tools

LLMs, RAG

AI focus

Defines strategy and success metrics for agentic AI that automates data workflows; partners with AI/ML engineering to operationalize LLM- and agent-based features with accuracy, explainability, human oversight, and responsible AI safeguards.

Model-written summary · the original posting is authoritative

First seen Oct 28, 2026 · Last verified Nov 6, 2026 (UTC)