AI Growth Leader

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Grade The Grade for this role is E2.About the job you’re considering

The AI Growth Leader is a senior, client-facing AI leadership role responsible for advancing the AI agenda across a strategic Capgemini account or portfolio of accounts within an industry in the Americas. The role leads the full AI lifecycle, from executive-level advisory and opportunity identification through solution architecture, hands-on development, production deployment, and measurable value realization.

As part of the Americas AI Center of Excellence, the AI Growth Leader brings together client advisory, solutioning, hands-on AI expertise, and commercial growth, working with clients and Capgemini’s strategic AI and hyperscaler partners to translate AI opportunities into scalable, production-ready solutions. Success is defined by delivering measurable business outcomes, expanding AI adoption, and creating opportunities to grow Capgemini’s AI footprint within strategic clients.

As a newly established role, the AI Growth Leader will also help shape and mature Capgemini’s approach to AI-led client transformation and growth.

Your role Client advisory and AI agenda:
Act as the trusted AI advisor to senior client stakeholders. Develop a clear point of view on where AI creates value in the client’s business and shape that view into a prioritized roadmap of opportunities.

Discovery and problem framing:
Lead discovery with business and technology leaders. Analyze the client’s operations and data landscape, ask the questions that surface where value sits and what blocks it, and frame problems in terms both business and technical audiences can act on.

Solution architecture:
Design solution architectures that meet enterprise standards for security, data governance, integration, scalability and cost, and guide delivery teams through to production.

Hands-on development:
Build prototypes, agents and proofs of value personally, using frontier models together with the client’s data and platforms, so that clients can evaluate working solutions early in the engagement.

Value realization:
Define the business case and success metrics for each AI initiative before build starts. Track adoption and outcomes after go-live, report realized value to client and Capgemini leadership, and use the results to decide what to scale, adjust or stop.

Proposals and pursuits:
Lead the AI content of proposals, orals and client workshops for the account or industry, with estimates and delivery plans grounded in direct build experience.

Reusable assets and ecosystem:
Convert proven work into accelerators, demonstrations and industry plays for use across the Center of Excellence and Capgemini’s global industry teams. Engage hyperscaler and AI model partners, and Capgemini specialists in data, cloud and industry, where they strengthen a solution.

Your skills and experience
10+ years of experience in technology consulting, AI, data, or technology services, with demonstrated credibility advising and influencing senior executive stakeholders.

Proven ability to operate across executive advisory and hands-on delivery, moving from strategic discussions and operating-model decisions to technical solutioning and working sessions with engineering teams.

Demonstrated track record of shaping and delivering complex AI or data initiatives from opportunity identification through…