Purpose of the role
Turn AI delivery learning into governed, discoverable and reusable guidance, while ensuring new AI services are understood, adopted and sustained. Own the AI CoE playbook, asset catalogue, communities, onboarding and adoption-readiness approach across Europe and India.
Key responsibilities
- Define and own the AI CoE playbook, information architecture, taxonomy, templates, contribution workflow and review/retirement cycle.
- Capture approved patterns, engineering assets, controls, architecture decisions, lessons, runbooks and operational guidance from Microsoft and delivery teams.
- Maintain the reusable asset catalogue with clear ownership, versioning, searchability, release notes and usage analytics.
- Develop role-based onboarding,



community-of-practice and learning pathways for Product Owners, reviewers, architects, engineers and operations teams.
- Own adoption-readiness standards: stakeholder mapping, impact assessment, communications, learning, user feedback and operational acceptance.
- Coordinate with UX/service design and Product Owners to ensure human-AI interaction, support, escalation and feedback are understood before release.
- Measure adoption and reuse, identify recurring friction and feed improvement priorities into the AI CoE backlog.
- Accept and maintain the Microsoft capability-

📌 Knowledge & Adoption Lead (España)
🏢 Arcelormittal
📍 España