IC5 - AI Governance Specialist

spin

México

Sur place

MXN 1 200 000 - 2 000 000

Plein temps

Il y a 4 jours
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Résumé du poste

spin is seeking an AI Governance Specialist in Mexico to design and operate the enterprise AI governance framework. You will align Security, Legal, Risk, DataOps, Finance, and business units to implement policies, lifecycle processes, and controls ensuring secure, compliant, scalable, and cost-effective AI adoption.

The role requires coordinating governance for platforms such as ChatGPT, Claude, Gemini, and Copilot, with focus on responsible AI, asset lifecycle, audits, and FinOps alignment.

Qualifications

  • Design and operate enterprise AI governance frameworks.
  • Define policies, standards, and operating guidelines for AI usage.
  • Coordinate cross-functional governance with Security, Legal, Risk, DataOps, Finance and Business Units.
  • Experience with multiple AI platforms (ChatGPT, Claude, Gemini, Copilot) is preferred.

Responsabilités

  • Design, implement, and continuously improve the AI governance framework.
  • Establish lifecycle processes for AI assets and platforms.
  • Monitor compliance with policies and regulatory requirements.
  • Produce governance dashboards and report to leadership.

Connaissances

Generative AI platforms
AI governance principles
Risk management
Enterprise architecture
Identity & Access Management
Cross-functional coordination
Policy development

Formation

Bachelor's degree in Computer Science / related field
Master's degree preferred

Description du poste

Objective of the R ole

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.
AI Risk & Compliance
  • 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
  • Enterprise Architecture & AI Architecture
  • Legal & Compliance
  • Privacy
  • Finance
  • Risk Management
  • 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
  • Enterprise AI operating models
  • AI Governance principles
  • Responsible AI
  • AI lifecycle management
  • AI platform administration
  • Identity & Access Management
  • Risk Management
  • AI platform licensing models
  • APIs and AI integrations
  • AI Agents and Copilots
Working knowledge of:
  • LLMs
  • RAG concepts
  • MCP
  • AI Assistants
  • Prompt Engineering
  • Enterprise AI architectures
Governance & Regulatory Knowledge
  • NIST AI Risk Management Framework
  • ISO/IEC 42001
  • ISO 27001
  • ISO 27701
  • OECD AI Principles
  • EU AI Act
  • Responsible AI practices
  • Data Privacy regulations (LFPDPPP, GDPR)
  • Internal Control and Risk Management frameworks
Desired Certifications ( One or more of the following is preferred):
  • IAPP Artificial Intelligence Governance Professional (AIGP)
  • DAMA CDMP
  • ISO/IEC 42001 Lead Implementer or Lead Auditor
  • Certified Information Systems Security Professional (CISS
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