Organizational Change Expert – AI Adoption

  • schedule 40 uur
  • place Eindhoven
  • file_copy Detachering
  • alarm 09-11-2025
  • location_city Partially On-Site

Introduction
Are you energized by driving enterprise-wide transformation in a rapidly evolving technological landscape? Do you have a passion for enabling organizations to embrace new ways of working, especially with the rise of Artificial Intelligence? We are seeking an Organizational Change Expert – AI Adoption to support our company’s journey toward becoming an AI-native organization, with a strong focus on culture, communication, and engagement across all departments.

Job Mission
As Organizational Change Expert – AI Adoption, you will be responsible for supporting the design and execution of a comprehensive change strategy that enables the entire organization to adopt AI as a foundational capability. You will work across business units, IT, HR, and leadership to foster a culture of experimentation, learning, and trust in AI-driven decision-making. Your experience in leading change in complex, technology-driven environments will be key to ensuring a smooth and impactful transformation.

Job Description
You will be responsible for:

  • Enterprise Change Strategy: Support the development and implementation of a holistic change management plan to support the AI-native transformation, including vision, key narratives, and engagement tactics tailored to diverse functions.
  • Cross-Functional Stakeholder Engagement: Identify and engage key stakeholders across business, operations, and technology, ensuring alignment and ownership of the AI journey.
  • Strategic Communication: Craft and deliver compelling, transparent communications about AI adoption, tailored to different roles, levels, and channels.
  • Culture Transformation: Champion a culture of curiosity, responsible innovation, and continuous learning around AI, fostering psychological safety and openness to change.
  • Learning & Enablement: Collaborate with the ASML Academy and AI domains & foundation on capability-building initiatives, and role-based enablement programs.
  • Leadership Alignment: Contribute to leadership workshops and executive sessions to align vision, sponsorship, and behavioral modeling for AI adoption.
  • Event Facilitation: Organize and lead workshops and community-of-practice sessions to drive awareness, engagement, and peer learning.
  • Feedback & Measurement: Establish feedback loops, adoption metrics, and change readiness assessments to continuously improve the transformation journey.
  • Best Practice Sharing: Document and share success stories, lessons learned, and scalable practices to accelerate adoption across teams.

Expected Behavior

  • Act as a visible ambassador and role model for change.
  • Facilitate open, inclusive discussions and encourage active participation.
  • Communicate with clarity, empathy, and authenticity.
  • Inspire and motivate teams to embrace new ways of working.
  • Demonstrate integrity, creativity, and a proactive mindset.

Personal Skills

  • Proven experience in enterprise change management, ideally in technology-driven transformations. Exceptional communication and stakeholder management skills.
  • Ability to navigate complex organizational dynamics and drive alignment.
  • Skilled in facilitating large groups and strategic conversations.
  • Empathetic, trustworthy, and highly organized.
  • Creative and pragmatic approach to problem-solving.

Education and Experience

  • Master’s degree in Organizational Sciences, Business Administration, Information Management, or related field.
  • 7+ years of experience in organizational change management, with at least 3 years focused on AI adoption, digital transformation, or intelligent automation initiatives.
  • Demonstrated success in leading AI-related change programs across multiple business functions. Experience with enterprise-wide technology adoption, ideally involving AI, machine learning, or data-driven decision-making.
  • Familiarity with Agile and Lean ways of working (SAFe preferred).
  • Experience in consultancy or advisory roles is a plus.

Contact

LinkedIn Mark Dalmeijer
Business Unit Manager
phone 06 254 332 30

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