Product Director - Data Management

JPMorgan Chase & Co.Jersey City, NJ
2h

About The Position

Join the Chief Administrative Office – Chief Data & Analytics Office and help shape the future of data management at JPMorgan Chase. As a Data Product Manager at the Executive Director level, you will drive impactful data products and foster a data-driven culture. This role offers opportunities for career growth, skill development, and collaboration with industry-leading experts. Be part of a team that leverages AI and machine learning to support the firm’s commercial goals. As a Data Product Manager within the Chief Data & Analytics Office, you will execute data strategies and deliver data products that align with business operations and strategic objectives. You will collaborate with cross-functional teams to ensure data is discoverable, fit for purpose, and well-governed. In this role, you will help drive organizational growth and competitive advantage by enabling data-driven decision-making. You will work closely with partners across Business, Technology, Analytics, Operations, and Risk & Control functions. Your leadership will ensure data quality, integrity, and security, while supporting innovation and compliance with data governance standards.

Requirements

  • 8+ years of experience in data product management or an adjacent discipline, including leading complex, cross‑functional data initiatives at scale.
  • Proven leadership of enterprise‑grade data products supporting reporting, BI, and AI/ML, with measurable business outcomes.
  • Demonstrated ability to translate procurement and finance needs into scalable data product strategies; Source‑to‑Pay domain experience strongly preferred.
  • Track record of partnering with data engineers to design, build, and operate robust data pipelines and platforms.
  • Executive‑level communication, stakeholder management, and influence; ability to set vision, prioritize investment, and drive adoption across functions.
  • Bachelor’s degree in Information Systems, Computer Science, Engineering, Business, or related field; advanced degree a plus.

Nice To Haves

  • Domain expertise in relevant data areas; procurement/Source‑to‑Pay (Vendor Mangement) knowledge preferred.

Responsibilities

  • Lead Source‑to‑Pay data transformation by developing and continuously improving enterprise data products that power sourcing, procurement, and supplier management analytics across the Vendor Management lifecycle.
  • Partner closely with GSS, Sourcing Tech, and FP&A to align data solutions with strategic business priorities and deliver measurable value.
  • Orchestrate construction of reusable, high‑quality data products by collaborating with data producers, owners, and consumers to define product requirements; source and curate data; and establish data pipelines that support comprehensive reporting, BI, and AI/ML use cases for procurement analytics.
  • Create and publish product roadmaps to ensure procurement stakeholders have discoverable, accessible, and consistently reliable data to drive insights on supplier performance, spend optimization, and procurement efficiency.
  • Champion firmwide standards for documentation, metadata, vocabularies, and interoperability; make data products discoverable in catalogs locally and across the enterprise to position the organization as a leader in procurement data excellence.
  • Operate in a high‑visibility role with exposure to senior leadership and cross‑functional partners, with significant opportunities for career growth as you drive innovation in a strategic operational area.
  • Translate cross‑functional needs into clear, testable requirements and prioritized product roadmaps.
  • Partner with data producers, owners, and engineers to source, curate, and deliver reusable data products and pipelines.
  • Govern quality and reliability end‑to‑end, including SLAs, testing, release/change management, and issue resolution.
  • Drive adoption and value by standardizing legacy consumption, engaging users, and measuring outcomes vs. cost.
  • Ensure discoverability, interoperability, and compliance through enterprise catalogs, metadata, and firmwide standards.
  • Enable secure, scalable consumption across reporting, BI, and AI/ML use cases.

Benefits

  • We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location.
  • Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions.
  • We also offer a range of benefits and programs to meet employee needs, based on eligibility.
  • These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more.
  • Additional details about total compensation and benefits will be provided during the hiring process.
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