Product Director - Data Products

JPMorgan Chase & Co.•Jersey City, NJ
•$180,500 - $285,000

About The Position

As a Product Director - Data Products at JPMorganChase within the Consumer & Community Banking Data Products team, you will own the vision, strategy, and delivery of cross-functional data products supporting analytics, operations, marketing, and risk. You will lead empowered product teams using continuous discovery, validating problems before building solutions and partnering closely with Engineering and Design to deliver measurable customer and business outcomes. The role enables faster, smarter decisions across Card, Home Lending, Auto, Wealth Management, and Connected Commerce. You will shape how internal partners access, trust, and act on data, build product teams, influence enterprise data strategy, and accelerate self-service AI adoption. You will establish data product governance in a regulated environment and ensure privacy, reliability, and compliance requirements are met. The position sits within Consumer & Community Banking, whose Data & Analytics team responsibly uses data to create business advantages and customer value, in partnership with Technology.

Requirements

  • Formal training or certification in product engineering concepts and 10+ years of applied experience.
  • A proven track record of delivering measurable business outcomes through data, analytics, or self-service platform products at enterprise scale.
  • Deep expertise in discovery techniques, including opportunity assessment, hypothesis-driven prototyping, and qualitative and quantitative testing methods.
  • Strong fluency in data concepts, including customer segmentation, attribution modeling, experiment design, instrumentation, and data governance in regulated environments.
  • Demonstrated ability to align cross-functional leaders, resolve competing priorities, and drive decisions across multiple lines of business.
  • Technical fluency to collaborate effectively with engineering teams on APIs, data pipelines, machine learning-powered experiences, and privacy architecture.
  • Exceptional written and verbal communication skills, including the ability to frame complex problems clearly and present decisions transparently to senior stakeholders.

Nice To Haves

  • Experience building or scaling AI-powered or machine learning-integrated data products in a large financial services or similarly regulated enterprise.
  • Familiarity with modern data platform concepts such as data mesh, data contracts, or federated governance models.
  • Experience operating in an empowered product team model using continuous discovery and dual-track execution frameworks.
  • Prior experience working across multiple business segments or lines of business within a matrixed organization.
  • Demonstrated ability to define and manage outcome-based roadmaps tied to business metrics such as targeting effectiveness, operational efficiency, or risk reduction.

Responsibilities

  • Define and communicate a product vision for data products aligned with Consumer & Community Banking priorities, translating strategy into outcome-based objectives and key results.
  • Lead continuous discovery practices, including problem framing, opportunity assessment, rapid prototyping, and testing across value, usability, feasibility, and viability.
  • Partner with Engineering and Design in an empowered team model to co-create solutions and commit to measurable outcomes rather than feature delivery.
  • Turn validated opportunities into minimal lovable products and iterate toward durable scale while meeting reliability, transparency, and governance standards.
  • Collaborate across Card, Home Lending, Auto, Wealth Management, and Connected Commerce to align priorities, surface tradeoffs, and drive shared outcomes.
  • Instrument data products for adoption, engagement, and business impact, and manage product health and risk across the four product risk dimensions.
  • Advance AI-powered self-service tools that reduce time-to-insight and increase validated, data-informed decisions across the business.
  • Communicate product strategy through clear narratives, decomposed bets, and transparent decision logs to senior leaders and cross-functional stakeholders.
  • Establish and maintain data product governance standards in a regulated environment, ensuring privacy, reliability, and compliance.

Benefits

  • Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in the form of cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
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