Invent - Enterprise AI Adoption & Enablement Lead

Capgemini Invent - Enterprise AI Adoption & Enablement Lead

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose.

** About the Job You're Considering*
* At Capgemini Invent, our Data Driven Transformation (DDT) team makes AI work at scale by combining data science and engineering with business consulting. We build context-driven analytics and GenAI/agentic systems that reflect how decisions and work actually happen-grounded in semantic layers, strong data foundations, and governance embedded in decision flows. With a builder-advisor ("forward deployed") mindset, DDT delivers production-ready impact across operations and customer domains, redefining what enterprise AI advisory looks like in practice.

** Your Role*
* This role leads enterprise‑wide AI adoption and enablement, ensuring AI initiatives translate into workforce readiness, literacy, and sustained business impact. The individual focuses on change, storytelling, communication, and value realization, acting as an extension of the client's internal leadership team.

You will:

+ 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 (delivered by supporting teams)

+ 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

** Your Skills + Experience*
* You bring strong AI literacy, including core AI and generative AI concepts, and understand how these capabilities apply to enterprise transformation. You are able to identify and support AI‑enabled opportunities that improve business outcomes and delivery effectiveness, and you have experience working in AI‑augmented ways of working to enhance research, analysis, and solution development. You collaborate effectively across strategy, technology, data, and design to enable AI‑driven solutions, with a solid understanding of responsible AI principles such as ethics, privacy, security, and governance.

You demonstrate curiosity and a continuous learning mindset around emerging AI capabilities and their practical application in client environments.

Required Skills:

+ 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

The base compensation range for this role in the posted location is: $121,400 - $237,360.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to:
Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

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