JPMorgan Chase
Head of Data - Corporate Responsibility
OH · Director · Full-time · Posted Oct 21, 2026
- Experience
- 10 or more years; no stated alternative.
- Education
- Bachelor's degree in Data Science, Computer Science, Information Systems, Data Analytics, Business, Technology, or a related field, or equivalent professional experience in data management, data governance, or a related field.
About the job
Leads Corporate Responsibility’s data strategy and governance, ensuring critical data is sourced, integrated, protected, and fit for operations, reporting, analytics, and responsible AI.
What you'll do
- Set CR’s data strategy and lead governance for critical assets and initiatives, including xCR CRM and Morgan Impact.
- Direct data-risk, quality, remediation, and reporting processes across the data lifecycle.
- Lead and mentor teams while partnering across business, technology, risk, controls, and firmwide data organizations.
What they ask for
- Bachelor’s degree in a related field or equivalent professional experience in data management, data governance, or a related field.
- 10 or more years of experience in data management, data governance, data risk management, analytics, business transformation, or a related discipline, with a demonstrated leadership track record.
- Deep understanding of data management principles, governance frameworks, operating models, and data lifecycle management.
- Experience establishing data ownership and governance, executing data strategies, leading large-scale data initiatives, and influencing senior stakeholders.
Nice to have
- Advanced degree or professional certification, such as Certified Information Management Professional or Certified Data Management Professional.
- Experience in financial services; familiarity with modern data architecture, cloud platforms, analytics, or applying AI and automation to data management.
AI focus
Identify and integrate data for machine learning and responsible AI use cases; preferred experience applying advanced analytics, machine learning, Generative AI, agents, or automation to data management, governance, reporting, risk management, or business processes.
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