AI Governance Analyst

. Draft, refine, and maintain internal AI governance policies, standards, and procedures.

Posted 5/21/2026full-timeAustin • Massachusetts, North Carolina, Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tools & technologies

Cyber Security

Key responsibilities & impact

Draft, refine, and maintain internal AI governance policies, standards, and procedures.
Translate emerging regulations (e.g., EU AI Act, U.S. AI Executive Orders, NIST AI RMF) into actionable internal requirements.
Conduct compliance assessments for AI systems across the organization.
Evaluate AI models and use cases for risks related to fairness, privacy, security, transparency, and societal impact.
Support model risk management processes, including documentation, validation, and lifecycle monitoring.
Recommend mitigation strategies and track remediation progress.
Partner with data science, engineering, legal, cybersecurity, and product teams to embed governance controls into AI development workflows.
Develop metrics and dashboards to track AI system performance, compliance status, and governance maturity.
Stay current on global AI regulations, standards, and industry trends.

What you’ll need

Bachelor’s degree in computer science, data science, public policy, law, ethics, or a related field.
Strong understanding of AI/ML concepts, even if not a hands‑on model builder.
Experience with risk management, compliance, or policy development.
Excellent analytical, writing, and communication skills.
Ability to work with technical and non‑technical stakeholders.

Comp & perks

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

AI governancecompliance assessmentsrisk managementmodel validationlifecycle monitoringmetrics developmentdashboard creationAI/ML concepts

Soft Skills

analytical skillswriting skillscommunication skillscollaborationstakeholder engagement

Certifications

Bachelor’s degree