Full-Time

Vice President Product Manager

AI Automation and Data Quality

JP Morgan Chase

JP Morgan Chase

10,001+ employees

Global financial services with diversified offerings

Compensation Overview

$128.3k - $205k/yr

New York, NY, USA

In Person

Category
Product (2)
,
Required Skills
Data Governance
Requirements
  • Proven experience evaluating, implementing, or managing AI-enabled analytics and automation solutions across a data/analytics organization.
  • Demonstrated ability to lead cross-functional product delivery from discovery through production (backlog, roadmap, releases, dependencies).
  • Strong knowledge of metadata management, data quality controls/frameworks, semantic modeling, and data governance practices.
  • Strong analytical skills to define success criteria, measure impact, identify gaps, and drive iterative improvement.
  • Experience influencing and aligning stakeholders across product, engineering, data owners, and business partners.
  • Demonstrated change management and enablement skills (training, communications, rollout planning, sustained adoption).
  • Experience designing and executing structured pilots and user testing, including consistent evaluation criteria and scorecards.
  • Excellent written and verbal communication skills, including ability to explain technical concepts to mixed audiences and senior leaders.
  • Demonstrated track record delivering measurable outcomes (productivity gains, cycle-time reduction, quality improvements, user satisfaction).
  • Comfort operating in a fast-changing environment with strong learning agility and ability to adapt priorities as needed.
Responsibilities
  • Establish and operate metadata, semantic, and data quality capabilities that enable governed, high-quality data assets.
  • Partner with automation teams to scale controls and automations that improve data quality, access management, and compliance outcomes.
  • Conduct structured discovery with targeted analyst personas to identify high-frequency workflows suited for automation.
  • Define problem statements, success criteria, and measurable outcomes for pilots and product releases.
  • Design and run inclusive, hands-on testing programs to gather real-world feedback from diverse analyst groups.
  • Lead intake, evaluation, and graduation for local solutions with firm-wide viability, using standardized scorecards and decision criteria.
  • Maintain portfolio roadmaps, backlogs, and release plans across the automation pipeline, balancing near-term wins with scalable foundations.
  • Drive adoption through enablement, communications, and change management so new capabilities are understood and used effectively.
  • Partner with engineering and platform teams to define production-readiness criteria and move pilots into production safely and consistently.
  • Monitor performance against OKRs, iterate based on outcomes, and run regular partner check-ins to ensure delivery against objectives.
Desired Qualifications
  • Experience building enterprise-scale data quality programs, including controls, monitoring, and remediation workflows.
  • Experience commercializing internal solutions into reusable products and scaling adoption across multiple teams.
  • Familiarity with modern data/AI ecosystems and concepts (e.g., lakehouse patterns, semantic layers, NLP-enabled analytics).
  • Experience integrating approved AI assistants into analytics workflows with appropriate governance and risk considerations.
  • Experience running communities of practice, enablement programs, or change networks for analytics organizations.

A global financial services firm offering investment banking, asset management, private equity, financial services, and consumer banking to individuals and institutions. It works by providing advisory, lending, trading, and financing services through a worldwide network, earning revenue from interest, fees, and trading commissions, and using its data and the JPMorgan Chase Institute to analyze economies. It stands apart from peers due to its size, full-range services across consumer and corporate markets, extensive market access, and in-house data-driven insights. Its goal is to deliver comprehensive financial products with integrity and growth while supporting clients and communities through data-backed analysis and targeted programs.

Company Size

10,001+

Company Stage

IPO

Headquarters

New York City, New York

Founded

1959

Simplify Jobs

Simplify's Take

What believers are saying

  • Institutional clients migrate treasury activity to JPMorgan's blockchain infrastructure, generating recurring fees.
  • AI investment of $2B annually drives operational efficiency without workforce reduction, improving margins.
  • 23% return on tangible common equity with 71M digital customers supports sustained profitability growth.

What critics are saying

  • Starmer's ouster triggers £9.9B London Canary Wharf project cancellation if successor government hostile.
  • SEC reverses yield-bearing tokenized asset rules, forcing Kinexys platform redemption and client litigation.
  • Branch expansion into low-income markets increases credit losses and fraud exposure in underserved segments.

What makes JP Morgan Chase unique

  • Tokenized fund leadership on Ethereum with $32B RWA market capturing institutional treasury migration.
  • Coordinated fraud prevention ecosystem through $14M philanthropic investment complementing internal AI defenses.
  • Geographic branch expansion into 500 locations by 2027 targeting underserved rural communities.

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Benefits

Health Insurance

Flexible Work Hours

Paid Sick Leave

Paid Holidays

Company News

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The Associated Press
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