AI Governance Analyst
Career GuideKey Responsibilities
- Maintain AI governance policies and standards
- Support AI risk assessments before launch
- Track legal and regulatory requirements that impact AI use
- Coordinate reviews with privacy, security, legal, and product teams
- Document AI system purpose, data sources, and known limitations
- Help define rules for acceptable AI use by employees and vendors
- Support model monitoring for performance drift and harmful outcomes
- Assist with incident response when AI systems cause issues
- Contribute to AI training materials and internal communications
- Support audits and evidence collection for compliance reviews
Top Skills for Success
Policy Writing
Risk Assessment
Stakeholder Management
Clear Communication
Data Literacy
AI Fundamentals
Privacy Principles
Information Security Basics
Regulatory Research
Audit Readiness
Documentation Discipline
Vendor Risk Review
Career Progression
Can Lead To
AI Governance Lead
AI Risk Manager
Responsible AI Program Manager
AI Compliance Manager
Trust and Safety Manager
Privacy Program Manager
Transition Opportunities
Product Compliance Specialist
Security Risk Analyst
Data Governance Analyst
Third Party Risk Analyst
Internal Auditor
Common Skill Gaps
Often Missing Skills
Model Risk ConceptsAI Lifecycle KnowledgeBias Evaluation BasicsModel Monitoring BasicsEvidence ManagementData MappingChange Management
Development SuggestionsBuild a working understanding of how AI systems are designed, tested, and monitored. Practice writing short policies and risk summaries. Learn how to collect evidence for reviews, such as decision logs and approval records. Partner with privacy and security teams to understand common control requirements.
Salary & Demand
Median Salary Range
Entry LevelUSD 70,000 to 95,000
Mid LevelUSD 95,000 to 130,000
Senior LevelUSD 130,000 to 175,000
Growth Trend
Growing quickly as more organizations adopt AI and face new compliance expectations, especially in regulated industries.Companies Hiring
Major Employers
MicrosoftGoogleAmazonIBMAccentureDeloittePwCEYJPMorgan ChaseBank of AmericaUnitedHealth GroupKaiser Permanente
Industry Sectors
TechnologyFinancial ServicesHealthcareInsuranceRetailTelecommunicationsConsultingGovernmentEducation
Recommended Next Steps
1
Review your organization’s AI policy, privacy policy, and security standards2
Create a simple AI risk checklist that can be used in project intake3
Build a reusable documentation template for AI system summaries4
Set up regular check ins with legal, privacy, security, and product teams5
Learn the basics of AI evaluation metrics and monitoring signals6
Develop a portfolio example that includes a policy draft and a risk assessment write up7
Track new AI related regulations and summarize impacts for stakeholders