The AI Risk and Compliance Manager is the mid-level operational role responsible for executing the organisation's AI risk management and regulatory compliance programme. The role translates governance frameworks into working processes — running risk assessments, managing DPIA and audit processes, maintaining the AI inventory, monitoring compliance with the EU AI Act and GDPR, and coordinating incident response. It typically sits within Legal, Compliance, Risk, or the AI Governance function and is the most commonly recruited mid-level AI governance role. In organisations without a dedicated CAIO or AI Governance Lead, this role frequently absorbs upward responsibilities by default.
The AI Risk and Compliance Manager is the mid-level operational role responsible for making the organisation's AI governance commitments real: translating frameworks into working processes, running risk assessments, maintaining the AI inventory, and making sure the organisation stays on the right side of a rapidly evolving regulatory landscape.
This is a process-oriented, execution-focused role that sits at the heart of the AI governance operation. You'll be running the day-to-day machinery: assessments, audits, DPIAs, incident coordination, policy maintenance, and vendor due diligence. It requires rigour, good judgement under uncertainty, and the ability to communicate clearly about risk to people who aren't specialists.
The role typically sits within Legal, Compliance, Risk, or the AI Governance function, reporting to the AI Governance Lead or Chief AI Officer where those roles exist. In organisations without a dedicated senior AI governance post, this role frequently absorbs upward responsibilities by default.
Much of the job involves running structured processes: maintaining the AI inventory, conducting risk assessments for new use cases, managing DPIAs for AI systems that process personal data, and monitoring compliance with the EU AI Act, GDPR, and applicable sector regulation. You'll also be doing the quieter but important governance maintenance work — keeping policies current, reviewing vendor contracts for AI-specific provisions, and supporting due diligence when new AI tools are being procured.
When something goes wrong: an AI system produces a harmful output, a regulatory query arrives, an incident needs coordinating, you'll be closely involved in the response.
Experience in risk management, compliance, or governance roles, with some exposure to AI, data protection, or technology risk. A working knowledge of the EU AI Act and GDPR, and the ability to apply regulatory requirements to practical operational situations. Process discipline and rigour about documentation are essential — the credibility of the governance programme depends on records being accurate and complete.
Some understanding of how AI systems work (not at an engineering level, but enough to make sensible risk classification decisions) is increasingly expected.
Most people in this role come from compliance, legal operations, risk management, or data protection backgrounds. GDPR and DPIA experience is normally required. AI-specific qualifications such as the IAPP AI Governance Professional (AIGP) are increasingly common.
We have hopefully created these exemplars with thought and care. It is not the only way of looking at these roles and teams in the world, and relates specifically to the intranet and digital workplance profession. It therefore concentrates on some things and ignores others.
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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.