What are AI governance jobs?
AI governance jobs are the roles that decide how an organization builds, buys and uses AI responsibly. The work covers risk assessment, policy writing, model documentation, regulatory compliance and ongoing oversight. Common titles include AI governance lead, responsible AI manager, AI risk analyst and AI policy counsel. These roles sit where technology, legal and risk teams meet.
Common AI governance titles
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AI governance lead / head of AI governance
- Focus
- Owns the program, the committee and the policy set
Responsible AI manager
- Focus
- Fairness, transparency and impact assessments
AI risk analyst
- Focus
- Model risk inventories, testing and controls
AI compliance manager
- Focus
- Maps regulations to internal controls
AI policy counsel
- Focus
- Legal interpretation and contracts
Model auditor / assurance
- Focus
- Independent review of models and documentation
| Title | Focus |
|---|---|
| AI governance lead / head of AI governance | Owns the program, the committee and the policy set |
| Responsible AI manager | Fairness, transparency and impact assessments |
| AI risk analyst | Model risk inventories, testing and controls |
| AI compliance manager | Maps regulations to internal controls |
| AI policy counsel | Legal interpretation and contracts |
| Model auditor / assurance | Independent review of models and documentation |
Core skills
- How ML models are trained, evaluated and monitored.
- Risk and control design, including audit trails.
- Frameworks: the NIST AI Risk Management Framework, ISO/IEC 42001 and the EU AI Act.
- Clear writing for policies, model cards and board reporting.
- Getting engineering, legal and business teams to agree.
Paths into AI governance
- Privacy and data protection
- Compliance and audit
- Information security
- Enterprise risk management
- Law
- Data science and ML engineering
Credentials
- IAPP Artificial Intelligence Governance Professional (AIGP)
- Privacy credentials such as CIPP and CIPM are common adjacent credentials.
Pay
BLS doesn’t track AI governance as its own occupation. For related IT leadership benchmarks, see the AI Engineer Salary guide.
For employers
Hiring an AI governance lead? See AI & ML Talent Search.
Frequently asked questions
What are AI governance jobs?
AI governance jobs are roles that set and enforce how an organization builds, buys and uses AI. The work covers risk assessment, policy, model documentation, regulatory compliance and oversight. Common titles include AI governance lead, responsible AI manager, AI risk analyst and AI policy counsel.
What skills do AI governance roles need?
A working understanding of how ML systems are built and evaluated, plus risk and compliance methods. Familiarity with frameworks such as the NIST AI Risk Management Framework and the EU AI Act helps, along with the ability to write clear policy.
What backgrounds lead into AI governance?
Common entry paths are privacy, compliance, information security, risk management, law, audit, and data science or ML engineering.
Is there a certification for AI governance?
Yes. The IAPP offers the Artificial Intelligence Governance Professional (AIGP) credential. Check the IAPP site for current requirements and fees.
Does Engaged Headhunters post AI governance job listings?
No. This page is a career guide, not a job board. Engaged Headhunters runs confidential searches for employers.
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