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.
- Función
- Data & Analytics
- Arquetipo
- Specialist
- Nivel más alto
- L6 · Senior Principal AI Governance Specialist
Para qué existe
Establishes governance, risk, policy, assurance and lifecycle controls enabling trustworthy, compliant and responsible AI.
Responsabilidades típicas
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.
Dónde se trabaja
Technology companies, data/cloud platforms, financial services, consulting, shared services, product engineering and regulated enterprises adopting Data + AI.
Cómo avanza la carrera
Associate AI Governance Specialist → AI Governance Specialist → Senior AI Governance Specialist → Lead AI Governance Specialist → Principal AI Governance Specialist → Senior Principal AI Governance Specialist
Niveles de esta carrera
Seis etapas estándar. La séptima existe solo donde la carrera la contempla.
Qué se espera en L3 · Senior AI Governance Specialist
Apply ai governance & responsible ai capability at handles complex work, mentors others and influences team-level outcomes.
Las cinco dimensiones que cambian
- Autonomía
- Independent complex ownership
- Alcance
- Handles complex work, mentors others and influences team-level outcomes.
- Complejidad
- Complex
- Influencia
- Multiple teams
- Impacto en el negocio
- Domain/cross-team
- Ambigüedad
- Moderate
Cómo se ve un buen desempeño
Produces trustworthy ai governance & responsible ai outcomes, makes sound trade-offs, communicates evidence and risks, and demonstrates the autonomy and impact expected at L3.
Evidencia típica
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 L3 scope.
Habilidades esperadas en L3
Agrupadas en humanas, profesionales y técnicas. La proficiencia meta usa la escala P1–P7, y cada fila dice qué significa ese nivel para esa habilidad.
Humanas8
| Humanas | P | De apoyo |
|---|---|---|
| Clear verbal communicationCommunication & Language | P3WorkingDe apoyo | Applies Clear verbal communication independently in normal and moderately complex situations. |
| Clear written communicationCommunication & Language | P3WorkingDe apoyo | Applies Clear written communication independently in normal and moderately complex situations. |
| CollaborationCollaboration & Relationships | P3WorkingDe apoyo | Applies Collaboration independently in normal and moderately complex situations. |
| Critical thinkingThinking & Problem Solving | P3WorkingDe apoyo | Applies Critical thinking independently in normal and moderately complex situations. |
| Cross-functional collaborationCollaboration & Relationships | P3WorkingDe apoyo | Applies Cross-functional collaboration independently in normal and moderately complex situations. |
| Learning agilityExecution & Self-Management | P3WorkingDe apoyo | Applies Learning agility independently in normal and moderately complex situations. |
| Stakeholder alignmentInfluence & Leadership Without Authority | P3WorkingDe apoyo | Applies Stakeholder alignment independently in normal and moderately complex situations. |
| Structured problem solvingThinking & Problem Solving | P3WorkingDe apoyo | Applies Structured problem solving independently in normal and moderately complex situations. |
Profesionales8
| Profesionales | P | De apoyo |
|---|---|---|
| AI governanceData & Analytics Practice | P3WorkingCentral | Applies AI governance independently in normal and moderately complex situations. |
| AI impact assessmentData & Analytics Practice | P3WorkingCentral | Applies AI impact assessment independently in normal and moderately complex situations. |
| AI lifecycle governanceData & Analytics Practice | P3WorkingDe apoyo | Applies AI lifecycle governance independently in normal and moderately complex situations. |
| AI model governanceData & Analytics Practice | P3WorkingDe apoyo | Applies AI model governance independently in normal and moderately complex situations. |
| AI policy developmentData & Analytics Practice | P3WorkingDe apoyo | Applies AI policy development independently in normal and moderately complex situations. |
| AI risk assessmentData & Analytics Practice | P3WorkingCentral | Applies AI risk assessment independently in normal and moderately complex situations. |
| AI use-case intake and approvalData & Analytics Practice | P3WorkingDe apoyo | Applies AI use-case intake and approval independently in normal and moderately complex situations. |
| Responsible AI principlesData & Analytics Practice | P3WorkingCentral | Applies Responsible AI principles independently in normal and moderately complex situations. |
Técnicas8
| Técnicas | P | De apoyo |
|---|---|---|
| AI guardrails and content safety engineeringData Science, ML & AI | P3WorkingDe apoyo | Applies AI guardrails and content safety engineering independently in normal production scenarios and troubleshoots common issues. |
| AI observabilityData Science, ML & AI | P3WorkingDe apoyo | Applies AI observability independently in normal production scenarios and troubleshoots common issues. |
| AI red teamingData Science, ML & AI | P3WorkingCentral | Applies AI red teaming independently in normal production scenarios and troubleshoots common issues. |
| Data catalog platformsDatabases & Data Platforms | P3WorkingDe apoyo | Applies Data catalog platforms independently in normal production scenarios and troubleshoots common issues. |
| Data lineage toolingDatabases & Data Platforms | P3WorkingDe apoyo | Applies Data lineage tooling independently in normal production scenarios and troubleshoots common issues. |
| LLM evaluation and benchmarkingData Science, ML & AI | P3WorkingCentral | Applies LLM evaluation and benchmarking independently in normal production scenarios and troubleshoots common issues. |
| Model validation testingData Science, ML & AI | P3WorkingCentral | Applies Model validation testing independently in normal production scenarios and troubleshoots common issues. |
| Prompt injection and jailbreak defenseData Science, ML & AI | P3WorkingCentral | Applies Prompt injection and jailbreak defense independently in normal production scenarios and troubleshoots common issues. |
Qué cambia al pasar de L3 a L4
Moving from Senior AI Governance Specialist to Lead AI Governance Specialist means greater autonomy, complexity, scope, influence and evidence of impact—not simply more tools.
Cómo se demuestra que ya estás
Sustained evidence of operating at L4-type scope: handles representative complexity, influences expected stakeholders and produces durable measurable outcomes.
Cómo prepararse
Take on one assignment at next-level scope; seek feedback; document decisions/outcomes; mentor others where appropriate; close highest-priority skill gaps.
Carreras cercanas
Calculadas por habilidades compartidas. Es una señal para explorar, no una garantía de contratación ni de elegibilidad.
- AI Platform & MLOps EngineeringData & Analytics14 habilidades compartidas
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- Data ArchitectureData & Analytics12 habilidades compartidas
- Data Governance & StewardshipData & Analytics9 habilidades compartidas
- Machine Learning EngineeringData & Analytics9 habilidades compartidas
Marco de carreras v21, activo desde 17 de agosto de 2026.