AI Adoption Lead

The mission:

The growing AI Enablement team in our Digital Center of Excellence is looking for an AI Adoption Lead. Your mission is to make AI part of everyday work at Konecranes, helping people and teams across the company use AI confidently, responsibly and in ways that actually change how work gets done.

Everyday AI happens on two levels. In “me” use cases, individuals use AI assistants such as Microsoft 365 Copilot to work smarter in their own tasks. In “we” use cases, teams will build shared workflows with agents, AI harnesses and connectors. You will help both happen and help teams recognize when a personal habit is worth turning into a shared team solution.

This is a hands-on lead role with broad reach as you will working closely with colleagues across business areas, functions, IT and data. You will run Konecranes AI Champion network, and roll up your sleeves to help teams with real AI use cases. You will report to the Director, AI Enablement.

What you'll do:

1) Shape and drive everyday AI adoption:

• Develop and continuously improve Konecranes’ approach to everyday AI adoption, connecting business priorities and employee needs with practical opportunities.
• Make AI tangible through demonstrations, hands-on sessions and relevant examples from Konecranes’ own work.
2) Lead the AI Champion network:

• Run and develop the Konecranes AI Champion network, including a regular community rhythm and sharing of what works.
• Onboard and upskill champions through trainings and hands-on bootcamps, and continuously assess what works, adjusting content and formats as needs and tools evolve.
• Equip champions and line managers to support colleagues locally and help new habits stick.
3) Provide hands-on support for everyday AI use cases:

• Help individuals and teams across the company with real use cases, and help them understand which AI tools, technologies and data best serve their needs..
• Guide teams through both “me” and “we” use cases: when personal productivity is enough, and when a shared agentic workflow or other team level AI solution brings more value.
• Build and demonstrate prototypes yourself, using AI coding harnesses such as Claude Code as well as Microsoft 365 Copilot and Copilot Studio.
• Help teams understand how to build and use AI solutions in approved environments and within Konecranes’ guardrails.
• Help teams recognize when a use case outgrows everyday AI and should be supported with stronger engineering and/or data science skills.
4) Deliver AI trainings and build scalable upskilling:

• Design and deliver practical AI trainings for different target groups, from employees and line managers to leadership teams and expert functions.
• Turn trainings into reusable blueprints, such as webinars, templates and example libraries, so that the role does not become a bottleneck.
• Build AI upskilling paths together with People & Culture and Learning & Development managers across business areas and functions, including AI-assisted learning paths that adapt to roles and skill levels.
• Work with technology partners and vendors to organize AI tool/feature trainings, such as Microsoft Copilot and SAP Joule, making sure the content fits Konecranes’ needs and real work.
5) Stay ahead of AI and turn it into practice:

• Continuously learn and experiment with new AI capabilities, tools and ways of working, and bring the relevant ones into Konecranes as practical advice and demonstrations.
• Run small co-builds and pilots with teams to test what works, and turn the good ones into examples others can reuse.

Function: Information Technology
Experience Level: Not Applicable