Product Director - Data Management
Listed on 2026-03-04
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IT/Tech
Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, Data Engineer
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.
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.
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.
Domain expertise in relevant data areas; procurement/Source-to-Pay (Vendor…
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