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Director, AI Governance & Risk

Simpson Thacher & Bartlett LLP

Role at a glance

Category: AI Governance
Work arrangement: Hybrid
Location: New York, NY
Salary range: $325,000 to $375,000
Posted: Jun 13, 2026

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Simpson Thacher & Bartlett LLP is hiring a Director, AI Governance & Risk in New York, NY. This is a AI Governance role in the governance, risk, and compliance field, with a posted range of $325,000 to $375,000. Review the full details below and apply directly with Simpson Thacher & Bartlett LLP.

Simpson Thacher, a leading global law firm, is hiring a Director, AI Governance & Risk to mature, implement, and oversee the firm's AI governance framework, policies, and controls to ensure the responsible, ethical, secure, and compliant use of artificial intelligence. Reporting to the Chief Risk Officer, this role sits on a multi-disciplinary team focused on accelerating adoption of appropriate AI tools and technologies across the firm. The Director bridges legal, risk, compliance, technology, and business teams to manage AI-related risks across the full AI lifecycle, from ideation and development through deployment and ongoing monitoring. Core duties include establishing governance processes for AI use cases, defining AI risk tiers, ensuring alignment with data governance, supporting development of AI training programs, and identifying and mitigating AI-related risks. The role requires balancing innovation with risk management, partnering with internal stakeholders, and managing relationships with external parties as the firm scales its AI

Full responsibilities and requirements are on Simpson Thacher & Bartlett LLP's application page.

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About Simpson Thacher & Bartlett LLP

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Location and market context

This role is based in New York, NY on a hybrid schedule. Local candidates benefit from being close to Simpson Thacher & Bartlett LLP'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 roles

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. Roles 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 role

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 Simpson Thacher & Bartlett LLP 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.