AI Governance Lead
Impact: Responsible AI deployment and organisational accountability for AI outcomes
Establish and oversee the organisational frameworks, policies, and processes that govern the responsible development and deployment of AI. Lead cross-functional governance committees, design AI risk management programmes, and ensure alignment with emerging AI regulations.
What the day looks like
- People interaction
- Extensive
- Team vs solo
- 70% Team / 30% Solo
- Client facing
- Frequent
- Impact visibility
- Very High
- Travel
- 15 to 25% for regulatory and industry meetings
- Schedule flexibility
- Moderate
- Remote work
- Hybrid
- Typical work hours
- 45 to 55 hours/week
- Stress level
- High
At a glance
- Median salary
- $170,000
- Entry-level
- $120,000 - $150,000
- Senior
- $240,000+
- Growth by 2033
- 45% (much faster than average)
- Demand
- Growing Fast
- Freelance potential
- Low
- Salary growth potential
- High - 65 to 100% growth from entry to senior
- Typical student debt
- $30,000 - $80,000
Skills you'll use
Hard skills
- AI risk frameworks
- Policy writing
- Regulatory analysis
- Programme management
- Stakeholder engagement
Soft skills
- Leadership
- Strategic thinking
- Communication
- Stakeholder management
- Ethical reasoning
Technical complexity: High
How to get there
- Minimum education
- Master's Degree
- Licensing
- No
- Years to mid-career
- 5 to 8 years
- Years to senior
- 10 to 15 years
- Career switching
- Hard
Where this career leads
How people arrive here
Where you can go from here
Typical progression
- Policy Analyst > AI Governance Analyst > AI Governance Lead > Head of AI Governance > Chief AI Officer
Future outlook
- Automation probability
- 8% extremely low risk as governance requires human judgment and accountability
- AI disruption risk
- Very Low
- Demand trend
- Growing Fast
How people feel about it
- Overall satisfaction
- 8.2/10
- Meaning
- 8.8/10
- Work-life balance
- 6.8/10
- Prestige
- 8.2/10
- Social perception
- Very High