AI Transformation Change & Adoption Lead

Microsoft Microsoft · Big Tech · Singapore · Business Program Management

This role is focused on driving AI transformation and adoption within Microsoft's commercial business. The Lead will advise on and implement change management strategies to help sellers accelerate their AI transformation, focusing on human-centered, AI-first approaches. Responsibilities include change advisory, planning, internal activation as a Customer Zero practitioner, insight generation, thought leadership, and program execution. The role requires experience in change management, program management, and driving adoption in complex, matrixed environments, with a preference for experience in AI transformation within a technology or consulting setting.

What you'd actually do

  1. Serves as a senior change practitioner on integrated change and activation efforts, translating business strategy into practical, people-centered approaches that drive field impact.
  2. Provides advisory input to partner teams to inform change plans, ensuring alignment with business priorities, operating realities, and readiness considerations.
  3. Leads defined initiatives or workstreams as a virtual team lead, coordinating across functions to deliver outcomes through influence rather than formal authority.
  4. Leads complex internal activation efforts as a Customer Zero practitioner, applying firsthand experience with Microsoft solutions to inform adoption strategies and scalable best practices.
  5. Gathers and analyzes qualitative and quantitative input from field, partner, and internal stakeholders to generate actionable insights that inform change and program decisions.

Skills

Required

  • change management
  • program management
  • process management
  • process improvement
  • cross-group collaboration
  • negotiation skills
  • written and verbal communication

Nice to have

  • AI transformation experience
  • technology or consulting environment experience
  • driving adoption in complex, matrixed environments
  • tailoring message and style to different audiences and channels
  • build partnerships
  • define benchmarks
  • execute initiatives

What the JD emphasized

  • AI transformation
  • AI-first change motions
  • agentic age
  • AI and automation transform how work is done
  • driving AI transformation