Product Director - Data Management

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.

Responsibilities

Primary: Source‑to‑Pay data transformation and procurement analytics

• 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.

Additional: Broader Data Product Manager scope

• 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.

  Qualifications

• 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.

Skills

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