| Title | AI Privacy & Compliance Analyst |
|---|---|
| Department | Privacy / Compliance / AI Governance |
| Reports to | [Chief Privacy Officer / Privacy & Compliance Director] |
| 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 Privacy and Compliance Analyst evaluates how [Company]'s AI systems use personal data and whether they meet privacy and compliance requirements. This role reviews AI use cases for data protection risk and supports compliance across the AI lifecycle.
Working with privacy, legal, governance, security, and data science teams, the analyst conducts privacy reviews and impact assessments, tests compliance with applicable requirements, and helps embed privacy-by-design into AI development.
As AI systems consume more personal data, the AI Privacy and Compliance Analyst helps the organization innovate while protecting individuals and meeting its obligations.
Key responsibilities
AI privacy review
- Review AI use cases for personal data use and privacy risk.
- Support data protection impact assessments for higher-risk AI.
- Evaluate lawful basis, purpose, and data minimization.
- Advise on transparency, notice, and individual rights.
Compliance testing
Test AI systems and processes against privacy and compliance requirements, including:
- Consent, notice, and individual rights handling
- Data retention, minimization, and deletion
- Cross-border transfer and vendor obligations
- Documentation and record-keeping requirements
Regulatory mapping
Map obligations from data protection law, the EU AI Act, and the NIST AI Risk Management Framework to internal privacy and AI controls, and track changes over time.
Privacy-by-design support
- Advise teams on privacy-preserving AI design choices.
- Support data-minimization and de-identification approaches.
- Help embed privacy controls into AI pipelines.
- Review third-party AI tools for privacy compliance.
Documentation and evidence
- Maintain privacy assessments, records, and control evidence.
- Support audit and regulatory readiness for AI systems.
- Track remediation of identified privacy findings.
Monitoring and awareness
Monitor AI systems for privacy issues and build awareness so teams handle personal data responsibly in AI projects.
Required qualifications
- Bachelor's degree in Information Systems, Law, Data Science, Business, or a related discipline.
- 3 to 6+ years of experience in privacy, data protection, compliance, or a related field, including exposure to AI or data-intensive systems.
- Working knowledge of privacy principles, data protection law, and compliance methods.
- Familiarity with AI and machine learning concepts and their privacy implications.
- Strong analytical, documentation, and communication skills.
Preferred certifications
One or more of: CIPP, CIPT, AIGP, CDPSE.
Technical knowledge
AI privacy reviews, data protection impact assessments, privacy compliance testing, data minimization and de-identification, lawful basis and rights handling, regulatory mapping, third-party privacy review, and AI governance fundamentals.
Essential competencies
Analytical rigor, attention to detail, clear communication of privacy requirements, collaboration with technical teams, and practical problem solving.
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 Privacy and Compliance Analyst do?
An AI Privacy and Compliance Analyst reviews how AI systems use personal data and whether they meet privacy and compliance requirements. They run privacy reviews and impact assessments, test compliance, and help embed privacy-by-design into AI development.
What qualifications and certifications does an AI Privacy and Compliance Analyst need?
Most bring 3 to 6 or more years in privacy, data protection, or compliance, with AI or data-intensive systems exposure. Common certifications include CIPP, CIPT, AIGP, and CDPSE.
What frameworks and laws does the role work with?
Common reference points include data protection law such as GDPR and CCPA, the EU AI Act, the NIST AI Risk Management Framework, and ISO/IEC 27701, mapped to internal privacy and AI controls.
How is this role different from an AI Governance Manager?
The AI Privacy and Compliance Analyst focuses specifically on privacy and data protection for AI systems, while the AI Governance Manager operates the broader AI governance program across all risk areas.