AI Governance Manager
United States · Remote · Permanent
Heads up: this posting is for future opportunities rather than one specific open role. If you apply, we'll add you to our candidate network and may reach out when relevant roles come up.
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What the market looks like
We've tracked 700+ management-level AI governance postings in the United States over the last six months, concentrated in Professional Services, Financial Services, Technology, and Healthcare. Compensation for this cohort ranges from $180K to $320K base salary. The strongest candidates bring hands-on experience building or scaling governance frameworks within organizations, paired with deep fluency in AI risk, compliance, and policy — and they know how to translate between technical teams and the business leadership that owns accountability for AI outcomes.
Job responsibilities
Own the design and execution of AI governance frameworks, policies, and controls; ensure they scale as the organization's AI footprint grows
Lead cross-functional governance committees and working groups, including product, engineering, legal, compliance, and risk
Drive AI risk assessments, model validation standards, and audit processes; partner with risk and compliance teams to embed governance into development workflows
Build and maintain governance documentation, including AI use case registries, impact assessments, and decision logs
Develop training and enablement programs to scale AI governance literacy across technical and business teams
Monitor regulatory developments and industry standards; translate them into organizational policy and adapt frameworks as the landscape evolves
Report on governance metrics, risks, and control effectiveness to executive leadership and the board
Candidate requirements
5+ years managing AI governance, risk management, compliance, policy, or closely related functions — with hands-on experience designing or scaling governance programs
Deep familiarity with AI risk domains: bias and fairness, transparency/explainability, security, data privacy, and model validation
Proven ability to lead and influence cross-functional stakeholders — engineers, product teams, legal, risk, and C-suite — without direct authority
Working knowledge of relevant regulatory frameworks (GDPR, SOC 2, industry-specific standards) and emerging AI regulation
Strong communication and documentation skills; comfort presenting complex governance concepts to both technical and non-technical audiences