AI Governance & Responsible AI
AI Governance & Responsible AI is an individual-contributor Data + AI career progressing from guided delivery to enterprise expertise without requiring people management.
- Function
- Data & Analytics
- Archetype
- Specialist
- Highest level
- L6 · Senior Principal AI Governance Specialist
Why it exists
Establishes governance, risk, policy, assurance and lifecycle controls enabling trustworthy, compliant and responsible AI.
Typical responsibilities
Deliver ai governance & responsible ai outcomes; apply data/AI standards; manage quality, reliability and risk; collaborate across product, engineering, security, legal and business teams; at senior levels shape enterprise standards and strategy.
Where the work happens
Technology companies, data/cloud platforms, financial services, consulting, shared services, product engineering and regulated enterprises adopting Data + AI.
How the career progresses
Associate AI Governance Specialist → AI Governance Specialist → Senior AI Governance Specialist → Lead AI Governance Specialist → Principal AI Governance Specialist → Senior Principal AI Governance Specialist
Levels in this career
Six standard stages. The seventh exists only where the career provides for it.
What is expected at L2 · AI Governance Specialist
Apply ai governance & responsible ai capability at independently delivers standard work within a team or defined domain.
The five dimensions that change
- Autonomy
- Independent routine ownership
- Scope
- Independently delivers standard work within a team or defined domain.
- Complexity
- Moderate
- Influence
- Immediate team
- Business impact
- Task/team
- Ambiguity
- Moderate
What good looks like
Produces trustworthy ai governance & responsible ai outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L2.
Typical evidence
Completed ai governance & responsible ai work products or production outcomes; documented decisions; measurable improvements in quality, reliability, risk, speed, cost or business outcomes; peer/stakeholder evidence of L2 scope.
Skills expected at L2
Grouped as human, professional and technical. Target proficiency uses the P1–P7 scale, and each row says what that level means for that particular skill.
Human8
| Human | P | Supporting |
|---|---|---|
| Clear verbal communicationCommunication & Language | P2FoundationalSupporting | Applies Clear verbal communication to routine situations using established methods and controls. |
| Clear written communicationCommunication & Language | P2FoundationalSupporting | Applies Clear written communication to routine situations using established methods and controls. |
| CollaborationCollaboration & Relationships | P2FoundationalSupporting | Applies Collaboration to routine situations using established methods and controls. |
| Critical thinkingThinking & Problem Solving | P2FoundationalSupporting | Applies Critical thinking to routine situations using established methods and controls. |
| Cross-functional collaborationCollaboration & Relationships | P2FoundationalSupporting | Applies Cross-functional collaboration to routine situations using established methods and controls. |
| Learning agilityExecution & Self-Management | P2FoundationalSupporting | Applies Learning agility to routine situations using established methods and controls. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P2FoundationalSupporting | Applies Stakeholder alignment to routine situations using established methods and controls. |
| Structured problem solvingThinking & Problem Solving | P2FoundationalSupporting | Applies Structured problem solving to routine situations using established methods and controls. |
Professional7
| Professional | P | Supporting |
|---|---|---|
| AI governanceData & Analytics Practice | P2FoundationalCore | Applies AI governance to routine situations using established methods and controls. |
| AI impact assessmentData & Analytics Practice | P2FoundationalSupporting | Applies AI impact assessment to routine situations using established methods and controls. |
| AI lifecycle governanceData & Analytics Practice | P2FoundationalSupporting | Applies AI lifecycle governance to routine situations using established methods and controls. |
| AI model governanceData & Analytics Practice | P2FoundationalSupporting | Applies AI model governance to routine situations using established methods and controls. |
| AI risk assessmentData & Analytics Practice | P2FoundationalCore | Applies AI risk assessment to routine situations using established methods and controls. |
| AI use-case intake and approvalData & Analytics Practice | P2FoundationalSupporting | Applies AI use-case intake and approval to routine situations using established methods and controls. |
| Responsible AI principlesData & Analytics Practice | P2FoundationalCore | Applies Responsible AI principles to routine situations using established methods and controls. |
Technical8
| Technical | P | Supporting |
|---|---|---|
| AI guardrails and content safety engineeringData Science, ML & AI | P2FoundationalSupporting | Uses AI guardrails and content safety engineering for routine tasks with documented patterns and review. |
| AI observabilityData Science, ML & AI | P2FoundationalSupporting | Uses AI observability for routine tasks with documented patterns and review. |
| AI red teamingData Science, ML & AI | P2FoundationalCore | Uses AI red teaming for routine tasks with documented patterns and review. |
| Data catalog platformsDatabases & Data Platforms | P2FoundationalSupporting | Uses Data catalog platforms for routine tasks with documented patterns and review. |
| Data lineage toolingDatabases & Data Platforms | P2FoundationalSupporting | Uses Data lineage tooling for routine tasks with documented patterns and review. |
| LLM evaluation and benchmarkingData Science, ML & AI | P2FoundationalCore | Uses LLM evaluation and benchmarking for routine tasks with documented patterns and review. |
| Model validation testingData Science, ML & AI | P2FoundationalCore | Uses Model validation testing for routine tasks with documented patterns and review. |
| Prompt injection and jailbreak defenseData Science, ML & AI | P2FoundationalCore | Uses Prompt injection and jailbreak defense for routine tasks with documented patterns and review. |
What changes from L2 to L3
Moving from AI Governance Specialist to Senior AI Governance Specialist means greater autonomy, complexity, scope, influence and evidence of impact—not simply more tools.
How readiness is shown
Sustained evidence of operating at L3-type scope: handles representative complexity, influences expected stakeholders and produces durable measurable outcomes.
How to prepare
Take on one assignment at next-level scope; seek feedback; document decisions/outcomes; mentor others where appropriate; close highest-priority skill gaps.
Adjacent careers
Computed from shared skills. It is a signal for exploring, not a hiring or eligibility guarantee.
- AI Platform & MLOps EngineeringData & Analytics14 shared skills
- Applied AI / Applied ScienceData & Analytics13 shared skills
- Analytics EngineeringData & Analytics12 shared skills
- Data ArchitectureData & Analytics12 shared skills
- Data Governance & StewardshipData & Analytics9 shared skills
- Machine Learning EngineeringData & Analytics9 shared skills
Career framework v21, active since August 17, 2026.