Team Lead AI Governance & Enablement
Core
Leading the introduction, governance, and scaling of AI across the enterprise, defining strategic frameworks for responsible AI enablement, and ensuring compliant, effective, and sustainable AI initiatives.
Role type
Senior AI Governance & Enablement Lead
Builds
Enterprise-wide AI governance frameworks, practical guidelines, operational models, and scalable AI business models
Domain
Enterprise AI, AI Governance, Regulatory Compliance (EU AI Act, GDPR), Digital Transformation
Deliverable
production ML models
Required skills
AI Enablement strategy, Enterprise Architecture, Team Leadership, Stakeholder Management, Regulatory Translation, AI Tool Proficiency, Risk Management, Change Management, Metrics Definition, Market Observation
Preferred skills
RAG pipeline implementation, Self-hosted model deployment, AI-driven automation, Microsoft 365/Atlassian environment experience, Cybersecurity background
Technologies
Microsoft Copilot, ChatGPT, Claude, Cloud-based LLM services, Open-Weight models, RAG systems, Knowledge Bases, AI Agents, Workflow Automation
Responsibilities
Develop and own enterprise-wide AI enablement and governance strategy; Define practical guidelines, policies, and operational models for responsible AI use; Translate regulatory requirements (EU AI Act, GDPR) into actionable processes; Collaborate closely with Security, Legal, Data Protection, IT, R&D, and business stakeholders; Support teams in identifying, prioritizing, and implementing value-creating AI use cases; Ensure AI initiatives align with company goals, security, compliance, and ethical standards; Provide architectural guidelines for AI introduction across tools, platforms, workflows, and enterprise systems; Support the design of secure and scalable AI operational models including human oversight, data processing, access management, and clear responsibilities; Serve as the central contact for AI-related governance questions and escalations; Promote alignment between technical teams, business units, management, Security, Legal, and Data Protection; Contribute to training, internal communication, and enablement measures around approved AI tools; Support the definition of KPIs for measuring AI adoption, costs, business impact, compliance maturity, and operational effectiveness; Monitor regulatory, technological, and market developments in AI and derive relevant measures; Continuously evolve the AI governance framework based on practical insights, user feedback, risk assessments, and changing regulatory requirements
Seniority
Senior, hands-on IC with leadership responsibilities
