Enterprise AI Adoption Leader: Drive Transformation

Capgemini Invent

Seattle (WA)

Hybrid

USD 121,000 - 237,000

Full time

35 hours ago
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Benefits offered by this job

Paid time off
Medical, dental, and vision coverage
Retirement savings plans
Employee assistance programs

Job summary

Capgemini Invent seeks a leader to drive enterprise-wide AI adoption and enablement, ensuring AI initiatives translate into workforce readiness and sustained business impact. You will guide change, storytelling, and value realization, acting as an extension of the client’s leadership team.

The role requires strong AI literacy, capabilities across strategy, technology, data, and design, and collaboration to enable AI-driven solutions with responsible AI principles.

Qualifications

  • Passion for AI thought leadership and enterprise transformation.
  • Experience leading change initiatives, enablement programs, or digital adoption efforts.
  • Strong storytelling, communication, and stakeholder engagement skills.
  • Ability to operate within client budget constraints while maximizing impact.

Responsibilities

  • Lead AI adoption initiatives focused on enterprise value realization and workforce impact.
  • Drive communications, storytelling, and executive-level narratives around AI transformation.
  • Improve AI literacy across the organization, including understanding how AI affects roles, skills, and ways of working.
  • Coordinate AI training and enablement efforts, including curriculum alignment and rollout.
  • Act as a trusted client partner, positioning the AI team as an extension of the client organization.
  • Manage a team responsible for delivering adoption, enablement, and communications outcomes.

Skills

AI thought leadership
Change management
Storytelling & communication
Budget-aware delivery

Job description

Capgemini Invent seeks a leader to drive enterprise-wide AI adoption and enablement, ensuring AI initiatives translate into workforce readiness and sustained business impact. You will guide change, storytelling, and value realization, acting as an extension of the client’s leadership team.

The role requires strong AI literacy, capabilities across strategy, technology, data, and design, and collaboration to enable AI-driven solutions with responsible AI principles.

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