The AI Governance Officer is the person responsible for ensuring the organization's use of artificial intelligence complies with applicable regulation (mainly the AI Act) and internal governance policies. It's not a purely technical role, nor a purely legal one — it lives exactly at the intersection, which is exactly why it's so hard to find the right profile.
What it does day to day
- Maintains the organization's AI system inventory and risk classification.
- Coordinates the technical documentation required for high-risk systems (AI Act Art. 11).
- Oversees that training data meets the criteria of Article 10.
- Is the point of contact with AESIA in case of an audit or inspection.
- Trains product and data teams on the practical obligations of the AI Act.
AI Governance Officer vs DPO vs Data Governance Lead
| Role | Main focus | Reference regulation |
|---|---|---|
| DPO | Personal data protection | GDPR |
| Data Governance Lead | Data quality, catalog and lineage | DAMA-DMBOK, AI Act Art. 10 |
| AI Governance Officer | Compliance and risk management for AI systems | AI Act, ISO 42001 |
In small and mid-sized organizations, these three roles usually fall on the same person, at least initially. The minimum viable Data Governance role structure is a good starting point for understanding how to split these responsibilities without needing three separate hires from day one.
What profile companies are looking for
According to the skills that actually matter in Data and AI Governance, the winning profile isn't the most technical one but the one that combines regulatory judgment, the ability to negotiate with product teams, and enough understanding of how an AI system works to ask the right questions — not to code it.
If your company still doesn't have anyone formally assigned to this role, it's usually the first sign of a governance gap — you can check with our free assessment in under 12 minutes.