AI Enablement team in our Digital Center of Excellence is now on the lookout for an AI Impact Lead.
In this role, your mission is to turn AI from scattered experiments into real, repeatable business value. You will scout for high–impact opportunities, validate them fast, and co-drive delivery from concept to production – while making sure the organization learns and scales as it goes. This is a hands-on strategic role: you will work across business units, IT, data, AI and corporate functions to connect AI capabilities to actual process changes and measurable outcomes.
Your key responsibilities
- Scout, test, and shape high-impact AI initiatives
- Identify and refine opportunities across functions and business units
- Translate business opportunities into executable AI initiatives: scope, value hypothesis, success metrics, feasibility constraints, and ownership
- Run quick tests, lightweight pilots, and early proofs of value to validate opportunities – using low/no-code and modern vibe coding tools such as MS 365 Copilot, Claude Code etc. where appropriate
- Define what a “serious MVP” means: what must be proven, integrated, secured, and measurable to justify scaling
- Co-drive delivery: From concepts to MVP and production readiness
- Co-drive selected use case deliveries with business owners, IT, data/AI teams, vendors/partners, and other relevant stakeholders
- Remove blockers (data readiness, integration decisions, operating model gaps, unclear ownership, approval friction)
- Drive AI adoption and practical change
- Support AI adoption at individual, team, and process level across the organization. Help teams translate AI into everyday ways of working, from personal productivity and team collaboration to selected workflow and process improvements. Facilitate practical change so AI becomes part of daily operations, while also supporting future-state workflow and process redesign where relevant
- Help stakeholders validate whether the intended adoption, behavior change, and value are actually being realized in practice
- Make AI repeatable across the organization
- Build/iterate lightweight toolkits, templates and trainings (e.g. training concepts, feasibility checklist, value framing etc.)
- Capture/codify learnings and promote shared components and delivery patterns across domains
- Provide pragmatic everyday AI advisory
- Offer guidance/training on everyday AI usage (genAI/agentic AI in knowledge work, and practical low/no-code automation/vibe coding)
- Help teams understand what can be explored quickly with lightweight prototypes and approved tools, and when stronger engineering/development or approval is needed