AI Operations · Role
AI Governance Lead
The AI Governance Lead makes sure the company's AI is reliable, safe and compliant: policies, agent control, risk and compliance. The person who prevents 'agent sprawl'.
What they do
- Set usage, permission and supervision policies for agents.
- Manage risk, security and compliance (incl. AI regulation).
- Audit which agents exist, what they do and who's accountable.
Skills it needs
Salary by country and seniority
| Country | Seniority | P25 | Median | P75 | |
|---|---|---|---|---|---|
| Germany | Mid | €102 500 | €102 500 | €102 500 | Estimation de sources publiques |
| United Kingdom | Mid | €74 707 | €80 631 | €86 556 | Estimation de sources publiques |
| United States | Senior | €133 584 | €133 584 | €133 584 | Estimation de sources publiques |
| United States | Lead | €140 861 | €157 520 | €175 560 | Estimation de sources publiques |
| United States | Head / Director | €240 268 | €240 268 | €240 268 | Estimation de sources publiques |
| United States | All | €93 503 | €103 695 | €113 888 | Estimation de sources publiques |
Figures in euros, gross annual — each with its source.
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The market uses several titles for the same role:
How it changes by seniority
- Mid — Applies usage and permission policies and maintains the agent inventory.
- Senior — Defines the governance framework (approval, risk, compliance) without slowing velocity.
- Lead — Owns AI risk in front of leadership and audit; leads the governance function.
When to hire
When you have several agents in production and nobody controls the whole.
When not to
If you still have a single use case: heavy governance is premature.
Interview questions
1. Five teams deploy AI with no common criteria. What do you put in place first?
What to look for: A record of what’s in production + an owner per agent + light approval; starts with visibility.
2. How do you design governance that cuts risk without becoming a committee that stalls everything?
What to look for: Default controls and fast approval; understands bad governance kills speed.
3. How does the EU AI Act fit what the company deploys?
What to look for: Knows the framework practically (risk classification, obligations) without freezing out of fear.
4. An agent makes a questionable decision. How do you reconstruct what happened and who’s accountable?
What to look for: Requires traceability and a clear owner; turns the case into a control, not bureaucracy.
Scorecard
- Governance framework — Defines who approves what, with which controls and who’s accountable; with a record of what’s live.
- Risk-speed balance — Cuts risk without stalling; default controls and agile approval.
- Practical compliance — Applies applicable regulation operationally, without paralysis or negligence.
- Traceability & accountability — Every agent has an owner and you can reconstruct why it decided what it did.
Red flags
- — Proposes a committee that takes weeks to approve anything.
- — Or the opposite extreme: "let each team sort itself out", with no record of anything.
- — Cites regulation to block, not to enable with controls.
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