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AI Compliance Manager

Governance and compliance, a mid-level role

What does AI Compliance Manager do?

Translates external obligations and internal commitments into repeatable operating requirements: intake questions, classifications, approvals, disclosures, records, controls, training, monitoring and remediation.

What it decides: Which obligation maps to which control, who owns it, and whether an exception may be granted.

The competencies employers name

  • Regulatory change managementcore, depth expected

    Spots a regulatory change, decides applicability, assigns actions, updates controls and keeps the implementation evidence.

    7 graded topics teach this

  • Framework crosswalking without false equivalencecore, depth expected

    Compares the EU AI Act, NIST AI RMF, ISO/IEC 42001 and sector rules by intent and control objective, and says where they do not overlap.

    5 graded topics teach this

  • Control design and operating-effectiveness testingcore, depth expected

    Maps risks to preventive, detective and corrective controls, then tests design and operation with samples, evidence and defensible findings.

    12 graded topics teach this

  • EU AI Act obligations and timelinescore, depth expected

    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

  • US federal and state AI regulationrequired, working knowledge

    Tracks executive orders, OMB guidance, agency rules and the state patchwork, and knows which state laws reach hiring, insurance and consumer decisions.

    17 graded topics teach this

  • AI policy and standards writingrequired, working knowledge

    Writes policies with scope, responsibilities, requirements, exceptions and evidence, so people can follow them and auditors can test them.

    10 graded topics teach this

  • Evidence collection and audit-ready documentationrequired, 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.

    20 graded topics teach this

  • Explainability, transparency and contestabilityrequired, working knowledge

    Decides what a person affected by an AI decision must be told, how an output can be explained, and how they can challenge it.

    11 graded topics teach this

  • Privacy law applied to AIrequired, working knowledge

    Applies GDPR, CCPA and sector rules to training data, inference, automated decisions, lawful basis, individual rights and cross-border transfer.

    7 graded topics teach this

  • AI vendor due diligence and third-party riskpreferred, working knowledge

    Tiers vendors by use and impact, requests evidence instead of promises, tests in the customer's context, and plans monitoring and exit.

    5 graded topics teach this

  • Cross-functional facilitation and influencerequired, working knowledge

    Interviews, facilitates, challenges and secures action across legal, security, product and business teams without owning every decision.

    20 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.

Check your readiness for this role

Add what you already have (optional)
Signed in? Every topic you have passed already counts as proof.

Roles that feed into it

  • Compliance Analyst
  • Regulatory Change Analyst
  • Privacy Professional
  • Technology Risk Specialist
  • Internal Auditor
  • Product Counsel

Where it leads

Backgrounds that reach it fastest

What postings tend to name

Frameworks: EU AI Act, ISO/IEC 42001, NIST AI RMF, ISO 37301.

Credentials often listed: AIGP, CIPP, CIPM, CCEP, CGRC, CRISC, ISO/IEC 42001 training. 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

What separates a strong AI Compliance Manager from a policy writer?
The strong one can say, for any obligation, who owns the control, how it operates, what evidence it creates, how often it is tested and what happens when it fails.
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