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AI Governance Analyst

Governance and compliance, an entry-level role

What does AI Governance Analyst do?

The specialized first rung after Governance Analyst: first-pass AI risk assessments, inventory upkeep, vendor questionnaires, regulatory tracking and the evidence the committee decides on.

What it decides: The draft risk tier of a use case and the evidence package that goes to the reviewer.

The competencies employers name

  • AI risk and impact assessmentcore, 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.

    14 graded topics teach this

  • AI inventory and use-case intakecore, working knowledge

    Finds every AI system in use, records owner, purpose, data and risk tier, and keeps the record alive as tools change.

    13 graded topics teach this

  • Evidence collection and audit-ready documentationcore, 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

  • Model failure modes and bias recognitionrequired, working knowledge

    Recognizes hallucination, drift, skew, brittleness and biased outcomes, and knows how each one enters a system.

    10 graded topics teach this

  • AI vendor due diligence and third-party riskrequired, 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

  • Regulatory change managementrequired, working knowledge

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

    7 graded topics teach this

  • NIST AI RMF in practicerequired, working knowledge

    Runs GOVERN, MAP, MEASURE and MANAGE as a cycle with evidence, builds current and target profiles, and applies the generative AI profile.

    3 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

  • ISO/IEC 42001 management systemspreferred, working knowledge

    Builds and audits an AI management system: context, leadership, planning, support, operation, performance evaluation, improvement and the Annex A controls.

    3 graded topics teach this

  • Working AI fluencyrequired, working knowledge

    Uses generative AI tools daily, knows what a model can and cannot do, and can say where an output should not be trusted.

    21 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

  • Governance Analyst
  • Compliance Analyst
  • Privacy Analyst
  • Recent graduate
  • Career changer from compliance, legal or nonprofit oversight

Where it leads

Backgrounds that reach it fastest

What postings tend to name

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

Credentials often listed: AIGP, CRISC, CIPP. 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

Do postings for AI governance analysts require a computer science degree?
The postings that actually go live ask for policy fluency, oversight experience and the ability to write and enforce a framework. Technical vocabulary takes days to learn; the discipline of structured review takes years, and many candidates already have it.
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