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AI Policy Analyst

Policy and regulation, a mid-level role

What does AI Policy Analyst do?

Researches how AI affects institutions and rights, compares policy options, and turns complex technical and legal developments into recommendations a legislator, regulator or executive can act on.

What it decides: Which options go to the decision-maker, with what tradeoffs, and whether a proposal can actually be administered.

The competencies employers name

  • Policy analysis and decision-ready writingcore, depth expected

    Reads bills and rules like a practitioner, compares options with costs and unintended effects, and writes briefs a decision-maker can act on.

    23 graded topics teach this

  • US federal and state AI regulationcore, depth expected

    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

  • 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

  • Rulemaking, comments and legislative processrequired, working knowledge

    Knows how a rule becomes a rule, drafts comments for the record that get read, and prepares testimony and briefings for hearings.

    6 graded topics teach this

  • Coalition building and stakeholder mappingrequired, working knowledge

    Convenes partners across industry, civil society and government, keeps a stakeholder map current, and gets many parties to one position.

    6 graded topics teach this

  • How models work, at a governance depthrequired, working knowledge

    Explains training, tokens, context windows, embeddings, retrieval and fine-tuning well enough to ask an engineer a precise question and spot weak evidence.

    18 graded topics teach this

  • Ethical reasoning turned into decision criteriarequired, working knowledge

    Identifies value conflicts in an AI use, asks who benefits and who bears risk, and turns principles into criteria a review can apply.

    7 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

  • NIST AI RMF in practicepreferred, 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

  • Privacy law applied to AIpreferred, 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

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

  • Legislative Analyst
  • Policy Researcher
  • Program Analyst
  • Regulatory Analyst
  • Government Affairs Specialist
  • Legislative Correspondent

Where it leads

Backgrounds that reach it fastest

What postings tend to name

Frameworks: NIST AI RMF, EU AI Act, OMB AI guidance, OECD AI Principles.

Credentials often listed: AIGP, 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

Does an AI Policy Analyst only work in government?
No. Think tanks, universities, standards bodies, trade associations, consulting firms and corporate public-policy or responsible AI teams all employ them, and internal governance teams need the same skill.
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