Manager, AI Innovation Lab (Learning and Training Assets Delivery)

Design deliver and continuously evolve a scalable endtoend AI learning and enablement ecosystem spanning foundational to advanced and agentbuilding capabilities aligned to enterprise AI priorities.

Define skill standards proficiency frameworks and rolebased capability maps informed by ongoing learning needs analyses and skills gap assessments.

Create and maintain handson AI enablement assets including labs simulations prompt libraries reusable workflows playbooks and multiformat learning materials such as elearning videos job aids live demos and quickstart guides.

Enable adoption of AI and agentic solutions by embedding learning into daily workflows and ways of working building prompt fluency AI literacy and responsibleAI understanding across teams.

Partner with People & Organization (P&O) to support organizational readiness and change initiatives related to AI transformation.

Ensure all learning content and enablement assets comply with AI governance privacy validation and Responsible AI standards maintaining quality version control and lifecycle management.

Define and track success metrics for AI learning and adoption maintaining dashboards and insights to evaluate impact effectiveness and continuous improvement.

Collaborate closely with product teams Solutionists engineering compliance and broader Innovation Lab teamsincluding XR and Game Studioto embed learning into solution lifecycles and align enablement standards across the iLab. Experience Required

Bachelors degree or equivalent in business innovation IT education instructional design learning & development or a related field.

5 years experience designing developing and delivering learning solutions for adult learners using multiple modalities and technologies ideally within technologyled environments (e.g. AI digital platforms immersive technologies).

Handson experience with AI tools including prompt engineering workflow design and agent usage with a strong applied understanding of large language models (LLMs) and their strengths and limitations.

Proven ability to translate complex AI and agentic workflows (e.g. Copilot Studio LangChain Semantic Kernel) into clear accessible learning experiences labs and enablement materials for nontechnical audiences.

Experience creating multiformat learning and technical enablement content including elearning live sessions job aids and experiential learning assets.

Strong grounding in adult learning principles behavior change models and AI literacy frameworks.

Familiarity with AI governance compliance and Responsible AI considerations particularly in regulated or enterprise environments.

Strong communication and collaboration skills with experience working crossfunctionally across business technical and operational teams.

Proficiency with Microsoft productivity tools (PowerPoint Excel Teams) and Learning Management Systems (LMS).