Jobs › Vice President, Responsible AI
Vice President, Responsible AI
Job at a glance
- Category
- AI Governance
- Work arrangement
- Hybrid
- Location
- New York, NY
- Posted
- Jun 16, 2026
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Thomson Reuters is hiring a Vice President, Responsible AI in New York, NY. This is a AI Governance job in the governance, risk, and compliance field. Review the full details below and apply directly with Thomson Reuters.
Thomson Reuters is hiring a Vice President, Responsible AI, reporting to the Global Chief Data Analytics Officer, to establish and evolve the firmwide Responsible AI strategy and AI governance program. The role drives the technologies and best practices that keep AI systems transparent, fair, and low in bias while prioritizing data privacy and security, partnering across all business units to improve AI stewardship, model development, and
Full responsibilities and requirements are on Thomson Reuters's application page.
Apply for this job →Location and market context
This job is based in New York, NY on a hybrid schedule. Local candidates benefit from being close to Thomson Reuters's teams and regional hiring market, while the hybrid arrangement offers some flexibility. Confirm the exact in-office expectation and any relocation support with the employer.
About AI governance jobs
AI governance sits at the intersection of policy, risk, and engineering. Teams are standing up model inventories, use-case intake and review, risk classification, and control monitoring as regulation and board scrutiny of AI intensify. Jobs like this one are typically evaluated against frameworks such as NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices.
How to position yourself for this AI governance job
Strong candidates emphasize experience translating policy into operational controls, working across legal, compliance, security, product, and data teams, documenting AI system risks, and supporting governance processes. In your resume and outreach, tie your experience to how Thomson Reuters would apply NIST AI RMF, ISO/IEC 42001, the EU AI Act, and internal model-risk and privacy practices, and lead with concrete outcomes rather than duties.
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