Autonomous Systems Governance Lead, robotics and physical AI edition
Governance and compliance, a senior role
What does Autonomous Systems Governance Lead do?
Builds the governance around machines that act in the world: the inventory, the risk tiers, the conformity and standards evidence, incident reporting, and a regulatory watch that spans AI law and machinery law at once.
What it decides: Which obligations a robot or autonomous system carries, who is accountable for each one, and what proof exists when a regulator or a customer asks.
The competencies employers name
- AI governance operating model designcore, depth expected
Designs decision rights, committees, intake, approval tiers and escalation so routine uses move and consequential uses get reviewed.
23 graded topics teach this
- Physical AI safety assurancerequired, working knowledge
Assures AI systems that can cause physical harm: hazard analysis, safety cases, runtime monitors, and the standards evidence a regulator or a court will ask for.
5 graded topics teach this
- EU AI Act obligations and timelinesrequired, working knowledge
Classifies a system by role and risk tier, knows which obligations bind on which date after the Digital Omnibus, and what evidence conformity needs.
24 graded topics teach this
- AI risk and impact assessmentrequired, working knowledge
Reviews purpose, data, affected people, accuracy, bias, security, oversight, vendors and law for a use case, scores likelihood and impact, and documents residual risk.
16 graded topics teach this
- Human oversight designrequired, working knowledge
Defines who reviews AI outputs, what they check, when they can override, and how to keep review from becoming a rubber stamp.
23 graded topics teach this
- Regulatory change managementpreferred, working knowledge
Spots a regulatory change, decides applicability, assigns actions, updates controls and keeps the implementation evidence.
13 graded topics teach this
- Evidence collection and audit-ready documentationpreferred, working knowledge
Collects, labels and preserves the evidence that a control operated, a decision was made, and a claim can be defended to an auditor or regulator.
23 graded topics teach this
Where it is taught
Counted from the graded topics that teach this role's competencies. Your own path is shorter: it skips what you already cover.
- EU AI Act Implementation Expert33 topics
- Certified AI Governance Professional (CAIGP)18 topics
- Certified AI Practitioner: Workplace Foundations14 topics
- Certified Agentic AI Governance Professional (CAAGP)13 topics
- Certified AI Transformation Professional (CATP)11 topics
- Certified AI Data Governance Professional (CADGP)9 topics
- The AI Lobbyist: Certified AI Policy Strategist7 topics
Plus 2 topics across 1 other program, which the path includes only when nothing else teaches a gap.
Check your readiness for this role
What you already have: your background and your CV (both optional, both count)
Roles that feed into it
- AI Governance Manager
- Compliance Manager
- Safety Engineer
- Robotics Program Manager
- Product Compliance Lead
Where it leads
What postings tend to name
Frameworks: EU AI Act, EU Machinery Regulation, ISO/IEC 42001, ISO 10218, NIST AI RMF.
Credentials often listed: AIGP. GAGE does not issue these and does not prepare for their exams; the record you earn here is your own graded evidence, which stands beside them.
Questions
- Who hires for this seat?
- Robot makers, warehouse automation firms, autonomous vehicle companies, and the enterprises deploying their fleets. Anyone whose product can physically act needs one person who owns what the law and the standards require of it.
- How do AI law and machinery law interact here?
- They stack. The EU AI Act treats many safety components as high risk AI, while the Machinery Regulation governs the machine itself. The governance lead holds both maps and makes sure one evidence file serves both.