AI governance roles
The newest job family in GRC. These templates reflect how regulated enterprises are actually defining the work.
AI Governance Analyst
The operational backbone of an AI governance program: inventories, intake review, risk classification, and control monitoring.
AI Risk Officer
Second-line ownership of AI risk appetite, assessment methodology, and escalation for high-risk use cases.
AI Compliance Lead
Translates the EU AI Act, state AI laws, and sector rules into controls, evidence, and audit readiness.
Responsible AI Lead
Principles into practice: fairness testing, transparency standards, and review boards that actually function.
Model Risk Manager
SR 11-7 heritage meets machine learning: validation, documentation, and ongoing monitoring for models in production.
GRC and security leadership
Core governance, risk, and security roles, written with the AI-era responsibilities employers now expect.
GRC Manager
Owns the control framework, audit calendar, and risk register across security, privacy, and now AI.
Privacy Engineer
Builds privacy into systems: data mapping, minimization, DPIA tooling, and privacy-preserving techniques.
Chief Information Security Officer
Executive security leadership with board reporting, program strategy, and accountability for AI security posture.
Ready to hire?
Every posting on GRC Careers is hand reviewed and reaches specialists in AI governance, risk, and compliance. Most roles go live within one business day.