TecHub

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.

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 L2 · AI Governance Specialist

Apply ai governance & responsible ai capability at independently delivers standard work within a team or defined domain.

Las cinco dimensiones que cambian

Autonomía
Independent routine ownership
Alcance
Independently delivers standard work within a team or defined domain.
Complejidad
Moderate
Influencia
Immediate team
Impacto en el negocio
Task/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 L2.

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 L2 scope.

Habilidades esperadas en L2

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

HumanasPDe apoyo
Clear verbal communicationCommunication & LanguageP2FoundationalDe apoyoApplies Clear verbal communication to routine situations using established methods and controls.
Clear written communicationCommunication & LanguageP2FoundationalDe apoyoApplies Clear written communication to routine situations using established methods and controls.
CollaborationCollaboration & RelationshipsP2FoundationalDe apoyoApplies Collaboration to routine situations using established methods and controls.
Critical thinkingThinking & Problem SolvingP2FoundationalDe apoyoApplies Critical thinking to routine situations using established methods and controls.
Cross-functional collaborationCollaboration & RelationshipsP2FoundationalDe apoyoApplies Cross-functional collaboration to routine situations using established methods and controls.
Learning agilityExecution & Self-ManagementP2FoundationalDe apoyoApplies Learning agility to routine situations using established methods and controls.
Stakeholder alignmentInfluence & Leadership Without AuthorityP2FoundationalDe apoyoApplies Stakeholder alignment to routine situations using established methods and controls.
Structured problem solvingThinking & Problem SolvingP2FoundationalDe apoyoApplies Structured problem solving to routine situations using established methods and controls.

Profesionales7

ProfesionalesPDe apoyo
AI governanceData & Analytics PracticeP2FoundationalCentralApplies AI governance to routine situations using established methods and controls.
AI impact assessmentData & Analytics PracticeP2FoundationalDe apoyoApplies AI impact assessment to routine situations using established methods and controls.
AI lifecycle governanceData & Analytics PracticeP2FoundationalDe apoyoApplies AI lifecycle governance to routine situations using established methods and controls.
AI model governanceData & Analytics PracticeP2FoundationalDe apoyoApplies AI model governance to routine situations using established methods and controls.
AI risk assessmentData & Analytics PracticeP2FoundationalCentralApplies AI risk assessment to routine situations using established methods and controls.
AI use-case intake and approvalData & Analytics PracticeP2FoundationalDe apoyoApplies AI use-case intake and approval to routine situations using established methods and controls.
Responsible AI principlesData & Analytics PracticeP2FoundationalCentralApplies Responsible AI principles to routine situations using established methods and controls.

Técnicas8

TécnicasPDe apoyo
AI guardrails and content safety engineeringData Science, ML & AIP2FoundationalDe apoyoUses AI guardrails and content safety engineering for routine tasks with documented patterns and review.
AI observabilityData Science, ML & AIP2FoundationalDe apoyoUses AI observability for routine tasks with documented patterns and review.
AI red teamingData Science, ML & AIP2FoundationalCentralUses AI red teaming for routine tasks with documented patterns and review.
Data catalog platformsDatabases & Data PlatformsP2FoundationalDe apoyoUses Data catalog platforms for routine tasks with documented patterns and review.
Data lineage toolingDatabases & Data PlatformsP2FoundationalDe apoyoUses Data lineage tooling for routine tasks with documented patterns and review.
LLM evaluation and benchmarkingData Science, ML & AIP2FoundationalCentralUses LLM evaluation and benchmarking for routine tasks with documented patterns and review.
Model validation testingData Science, ML & AIP2FoundationalCentralUses Model validation testing for routine tasks with documented patterns and review.
Prompt injection and jailbreak defenseData Science, ML & AIP2FoundationalCentralUses Prompt injection and jailbreak defense for routine tasks with documented patterns and review.

Qué cambia al pasar de L2 a 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.

Cómo se demuestra que ya estás

Sustained evidence of operating at L3-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.

Marco de carreras v21, activo desde 17 de agosto de 2026.

AI Governance & Responsible AI · Costa Rica TecHub