| Title | AI Policy Analyst |
|---|---|
| Department | Public Policy / AI Governance / Regulatory Affairs |
| Reports to | [Head of Policy / Director of AI Governance] |
| Location | [Remote / Hybrid / On-site] |
| Employment type | Full-time |
| Salary | [Salary range. Postings with a range perform significantly better, and several states require one.] |
Position overview
The AI Policy Analyst monitors, analyzes, and interprets AI laws, regulations, standards, and policy developments for [Company]. This role turns a complex and shifting regulatory landscape into practical guidance for governance, legal, compliance, and business teams.
Working with legal, compliance, governance, and public policy stakeholders, the AI Policy Analyst maps external requirements to internal policies and controls, drafts position materials, and supports the organization's response to emerging AI rules.
As AI regulation accelerates worldwide, the AI Policy Analyst keeps the organization informed, aligned, and ahead of its obligations.
Key responsibilities
Regulatory monitoring
- Track AI legislation, regulation, and enforcement across jurisdictions.
- Monitor standards, frameworks, and guidance from standards bodies.
- Summarize developments and their implications for the organization.
- Maintain a regulatory horizon and impact register.
Policy analysis and development
Analyze external requirements and support internal policy, covering areas such as:
- Risk classification and prohibited or high-risk AI uses
- Transparency, disclosure, and documentation obligations
- Human oversight, testing, and record-keeping duties
- Sector-specific and cross-border requirements
Framework mapping
Map obligations from the EU AI Act, the NIST AI Risk Management Framework, the OECD AI Principles, and US executive orders and state AI law to internal policies, standards, and controls.
Guidance and briefings
- Draft clear guidance, briefings, and FAQs for internal stakeholders.
- Support governance and compliance teams with regulatory interpretation.
- Prepare materials for leadership and committees.
- Respond to internal questions on AI regulatory requirements.
External engagement support
- Support responses to consultations and requests for comment.
- Coordinate with public policy and industry group activity.
- Track competitor and industry regulatory positioning.
Documentation and evidence
Maintain policy documentation, regulatory mappings, and records that support compliance and audit readiness.
Required qualifications
- Bachelor's degree in Public Policy, Law, Political Science, Information Systems, or a related discipline.
- 3 to 6+ years of experience in policy analysis, regulatory affairs, compliance, or legal research, including technology or AI policy.
- Ability to read and interpret regulation and standards and explain them plainly.
- Strong research, writing, and analytical skills.
- Familiarity with AI and machine learning concepts and their policy implications.
Preferred certifications
One or more of: AIGP, CIPP, and relevant public policy or regulatory credentials.
Technical knowledge
AI regulatory analysis, policy development, framework and control mapping, legislative and standards tracking, regulatory horizon scanning, compliance documentation, and AI governance fundamentals.
Essential competencies
Analytical rigor, clear and concise writing, ability to translate legal text into practical guidance, and strong research discipline.
About [Company]
[Two or three sentences about your organization, the maturity of your program, and what the first year looks like. Candidates in this field respond to honesty about whether they are joining a build or an established function.]
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Frequently asked questions
What does an AI Policy Analyst do?
An AI Policy Analyst monitors AI laws, regulations, and standards and translates them into practical guidance for the organization. They map obligations to internal policies and controls, draft briefings, and support the response to emerging AI rules.
What qualifications and certifications does an AI Policy Analyst need?
Most AI Policy Analysts bring 3 to 6 or more years in policy analysis, regulatory affairs, compliance, or legal research, including technology or AI policy. Common certifications include AIGP and CIPP, alongside public policy credentials.
What frameworks and regulations does an AI Policy Analyst track?
Common reference points include the EU AI Act, the NIST AI Risk Management Framework, the OECD AI Principles, and US executive orders and state AI law, mapped to internal policies and controls.
How is an AI Policy Analyst different from an AI Governance Manager?
The AI Policy Analyst focuses on interpreting external regulation and standards and producing guidance, while the AI Governance Manager operates the internal program that puts that guidance into practice.