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 L1 · Associate AI Governance Specialist
Apply ai governance & responsible ai capability at learns the discipline and executes defined work with guidance.
The five dimensions that change
- Autonomy
- Close guidance
- Scope
- Learns the discipline and executes defined work with guidance.
- Complexity
- Defined
- Influence
- Immediate team
- Business impact
- Task/team
- Ambiguity
- Low
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 L1.
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 L1 scope.
Skills expected at L1
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.
Human6
| Human | P | Supporting |
|---|---|---|
| Clear verbal communicationCommunication & Language | P1AwarenessSupporting | Understands the purpose, vocabulary and basic principles of Clear verbal communication; works with close guidance. |
| Clear written communicationCommunication & Language | P1AwarenessSupporting | Understands the purpose, vocabulary and basic principles of Clear written communication; works with close guidance. |
| CollaborationCollaboration & Relationships | P1AwarenessSupporting | Understands the purpose, vocabulary and basic principles of Collaboration; works with close guidance. |
| Critical thinkingThinking & Problem Solving | P1AwarenessSupporting | Understands the purpose, vocabulary and basic principles of Critical thinking; works with close guidance. |
| Cross-functional collaborationCollaboration & Relationships | P1AwarenessSupporting | Understands the purpose, vocabulary and basic principles of Cross-functional collaboration; works with close guidance. |
| Structured problem solvingThinking & Problem Solving | P1AwarenessSupporting | Understands the purpose, vocabulary and basic principles of Structured problem solving; works with close guidance. |
Professional6
| Professional | P | Supporting |
|---|---|---|
| AI governanceData & Analytics Practice | P1AwarenessCore | Understands the purpose, vocabulary and basic principles of AI governance; works with close guidance. |
| AI impact assessmentData & Analytics Practice | P1AwarenessSupporting | Understands the purpose, vocabulary and basic principles of AI impact assessment; works with close guidance. |
| AI lifecycle governanceData & Analytics Practice | P1AwarenessSupporting | Understands the purpose, vocabulary and basic principles of AI lifecycle governance; works with close guidance. |
| AI model governanceData & Analytics Practice | P1AwarenessSupporting | Understands the purpose, vocabulary and basic principles of AI model governance; works with close guidance. |
| AI risk assessmentData & Analytics Practice | P1AwarenessCore | Understands the purpose, vocabulary and basic principles of AI risk assessment; works with close guidance. |
| Responsible AI principlesData & Analytics Practice | P1AwarenessCore | Understands the purpose, vocabulary and basic principles of Responsible AI principles; works with close guidance. |
Technical8
| Technical | P | Supporting |
|---|---|---|
| AI guardrails and content safety engineeringData Science, ML & AI | P1AwarenessSupporting | Recognizes the purpose, core concepts and risks of AI guardrails and content safety engineering; performs only guided exercises. |
| AI observabilityData Science, ML & AI | P1AwarenessSupporting | Recognizes the purpose, core concepts and risks of AI observability; performs only guided exercises. |
| AI red teamingData Science, ML & AI | P1AwarenessCore | Recognizes the purpose, core concepts and risks of AI red teaming; performs only guided exercises. |
| Data catalog platformsDatabases & Data Platforms | P1AwarenessSupporting | Recognizes the purpose, core concepts and risks of Data catalog platforms; performs only guided exercises. |
| Data lineage toolingDatabases & Data Platforms | P1AwarenessSupporting | Recognizes the purpose, core concepts and risks of Data lineage tooling; performs only guided exercises. |
| LLM evaluation and benchmarkingData Science, ML & AI | P1AwarenessCore | Recognizes the purpose, core concepts and risks of LLM evaluation and benchmarking; performs only guided exercises. |
| Model validation testingData Science, ML & AI | P1AwarenessCore | Recognizes the purpose, core concepts and risks of Model validation testing; performs only guided exercises. |
| Prompt injection and jailbreak defenseData Science, ML & AI | P1AwarenessCore | Recognizes the purpose, core concepts and risks of Prompt injection and jailbreak defense; performs only guided exercises. |
What changes from L1 to L2
Moving from Associate AI Governance Specialist to 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 L2-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.