IC5 - AI Governance Specialist

Spin - Job Board External

México

On-site

MXN 900,000 - 1,200,000

Full time

3 days ago

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Job summary

Spin - Job Board External is seeking an AI Governance Specialist to design, implement, and run the enterprise AI governance framework, ensuring secure, compliant and cost-aware adoption across the organization. You will coordinate Security, Legal, Risk, Finance, DataOps, and business units to define operating models, policies, and lifecycle processes.

The role requires 4–6 years in governance, risk, or compliance, familiarity with AI platforms, and ability to manage cross-functional initiatives.

Qualifications

4–6 years of experience in Governance, Risk, Compliance, Data Governance, Information Security, Enterprise Architecture, IT Governance, Technology Program Management, or related disciplines.
Experience designing or operating enterprise governance frameworks, operating models, or corporate policies.
Exposure to enterprise AI platforms (e.g., ChatGPT, Claude, Gemini, Microsoft Copilot, GitHub Copilot, Cursor, Windsurf) is preferred.

Responsibilities

Design, implement, maintain, and continuously improve the AI Governance Framework.
Define enterprise-wide governance policies, standards, procedures, and operating guidelines.
Establish governance processes for AI platform lifecycle, onboarding, access, usage monitoring, and exception management.
Coordinate cross-functional governance activities with Security, IAM, Legal & Compliance, Privacy, Finance, DataOps, Procurement, and Business Units.

Skills

Governance frameworks

Cross-functional coordination

Risk & Compliance

AI platform administration

Identity & Access Management

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Cybersecurity, Business Technology, or related field

Master's degree preferred

Job description

The AI Governance Specialist is responsible for designing, implementing, and operating the enterprise AI Governance framework to ensure that artificial intelligence platforms are adopted in a secure, compliant, scalable, and cost-effective manner. Serving as the central governance authority, this role coordinates cross-functional stakeholders—such as Security, Finance, Legal, Risk, DataOps, and Business Units—to establish standard operating models, policies, and lifecycle processes that promote responsible AI usage while safeguarding organizational data, regulatory compliance, and technology investments.

Main Responsibilities

AI Governance Framework

Design, implement, maintain, and continuously improve the organization's AI Governance Framework.
Define enterprise-wide AI governance policies, standards, procedures, and operating guidelines.
Establish governance processes covering AI platform lifecycle management, user onboarding/offboarding, access management, usage monitoring, and exception management.
Define governance requirements for enterprise AI platforms including ChatGPT, Claude, Gemini, Windsurf/Devin, and future approved AI technologies.
Take ownership of assigned tasks end-to-end within their defined scope, following through to completion and flagging blockers promptly to the team lead.

AI Inventory & Lifecycle Management

Maintain the enterprise inventory of AI platforms, AI applications, AI agents, copilots, custom GPTs, models, algorithms, and AI-enabled solutions.
Establish AI asset registration, ownership, classification, and lifecycle management processes.
Ensure AI assets remain properly documented and governed throughout their lifecycle.
Conduct pre-deployment risk assessments for all new AI use cases.
Establish governance controls rooted in Responsible AI principles.
Monitor adherence to corporate policies, emerging AI regulations, and manage remediation for governance gaps.
Facilitate internal and external audits concerning AI governance practices.

AI FinOps & Platform Governance

Partner with FinOps to optimize AI licensing, token consumption, and platform utilization.
Define governance standards for AI license allocation and consumption monitoring.
Support forecasting enterprise AI consumption and platform growth.
Analyze usage trends and recommend optimization opportunities.

Cross-functional Governance

Act as the main governance point of contact to ensure alignment across stakeholders by coordinating enterprise AI activities with:

Information Security
IAM
Legal & Compliance
Privacy
Finance
DataOps
Procurement
Data & AI Transformation
Business Units

AI Standards & Adoption

Develop governance of playbooks, standards, templates, and best practices.
Support enterprise AI adoption through governance enablement.
Deliver awareness sessions regarding AI governance policies.
Promote responsible AI adoption across business and technology teams.

Metrics & Reporting

Define KPIs for AI Governance maturity.
Monitor governance adoption of metrics.
Produce executive dashboards on AI platform adoption, compliance, risks, and cost optimization.
Report governance status to executive leadership.

Required Knowledge and Experience

Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, Cybersecurity, Business Technology, or related field. Master's degree is preferred.
4–6 years of experience in Governance, Risk, Compliance, Data Governance, Information Security, Enterprise Architecture, IT Governance, Technology Program Management, or related disciplines.
Experience designing or operating enterprise governance frameworks, operating models, or corporate policies.
Experience coordinating cross-functional initiatives involving multiple technology and business stakeholders.
Exposure to enterprise AI platforms (e.g., ChatGPT, Claude, Gemini, Microsoft Copilot, GitHub Copilot, Cursor, Windsurf) is preferred.

Technical Knowledge

Strong understanding of:

Generative AI platforms

AI Governance principles

Responsible AI

AI platform administration

Identity & Access Management

APIs and AI integrations

AI Agents and Copilots

Working knowledge of:

LLMs

RAG concepts