AI Growth Leader

Capgemini • Dallas, TX

1d • $200,000 - $350,000 • Onsite

About The Position

The AI Growth Leader is a senior commercial leadership role in Capgemini’s global Scale Agentic Squad, which helps clients navigate and lead in the agentic AI era. The role is accountable for originating and winning transformational AI business with strategic clients and ensuring initial deals achieve rapid, measurable business value. The position is the single-threaded owner for large AI opportunities, typically involving €10M+ pipeline and €1M+ contract value, and works with country, BU, SBU and GBL colleagues to execute go-to-market activity, coordinate multi-GBL pursuits and partners, and present a unified Capgemini AI narrative to CXO stakeholders. Each Growth Leader works alongside an AI Solution Leader, who owns solution design and architecture.

The role combines commercial leadership, strategic account development, partner integration and executive sponsorship from opportunity origination through contract signature and early delivery. It drives integrated AI offerings, innovative commercial models, and early value realization, while transferring capabilities to local account and BU teams. The position is onsite in Chicago, New York, Dallas or Atlanta.

Requirements

• Senior commercial leadership experience in a global systems integrator, hyperscaler professional services, AI-native consultancy, enterprise software vendor with an AI practice, or an AI leadership role in industry.
• Track record of building and scaling AI or data-driven businesses and originating and closing large transformational deals.
• Strategic account leadership involving €50M+ total relationship value and long-term trusted-advisor relationships across multiple engagements.
• Experience engaging C-suite and board-level stakeholders on AI strategy and business cases, including CAIO, CDO, CTO, CIO and CFO roles.
• Experience negotiating with multiple stakeholders, including procurement, legal and business sponsors.
• Technical credibility in foundation models and LLMs, RAG, fine-tuning, agentic and multi-agent systems, human-in-the-loop design, and production AI practices such as LLMOps, evaluation, cost and scale.
• Knowledge of modern lakehouse and data platforms, including Databricks and Snowflake, and hyperscaler AI services including AWS Bedrock and SageMaker, Azure AI Foundry and OpenAI, and Google Vertex AI.
• Understanding of how the data estate constrains AI value.
• Knowledge of EU AI Act, GDPR, responsible AI, sovereign AI and AI security, including prompt injection, particularly in regulated industries.
• Deep knowledge of 2–3 priority industries, with examples including FS, MALS, Public Sector, CPRD and EUC.
• Ability to influence without direct authority in a complex, matrixed organization and align stakeholders with different incentives.

Nice To Haves

• Hyperscaler AI or architecture credentials, such as AWS, Azure or Google Cloud certifications.
• Databricks or Snowflake certifications.
• TOGAF, CDMP or PMP/PRINCE2 certification.

Responsibilities

• Proactively identify, shape and close transformational AI opportunities with strategic and platinum accounts, engaging clients before formal RFP processes.
• Own end-to-end deal orchestration from opportunity identification through contract signature and handover to delivery.
• Define integrated offerings for Big Bets with the AI Solution Leader, aligning Capgemini capabilities to client objectives.
• Qualify opportunities rigorously and focus on winnable, high-value pursuits aligned to the strategic account list.
• Align go-to-market plays and messaging across I&D, Invent, Cloud and Apps to reduce internal competition and client confusion.
• Agree clear GBL role matrices for Big Bets and create value propositions drawing on Capgemini’s full capability set.
• Build trusted relationships with Chief AI, Data, Technology and Information Officers, working with the CXO Engagement chapter.
• Develop joint strategies with hyperscalers, data platforms and AI model partners.
• Secure partner co-investment, co-sell commitments and funding for proof-of-value sprints and demonstrations.
• Drive a shift from time-and-materials and staff augmentation to outcome-based, fixed-price and managed commercial models.
• Position AI Factory and product-led propositions as transformational partnerships, accelerating deal cycles to 8–12 weeks.
• Sponsor product and forward-deployed engineering teams and hold executive accountability for transition from sale to first delivered value.
• Provide ongoing executive sponsorship as solutions scale, expanding point solutions into enterprise-wide programs.
• Transfer capability to local account and BU teams so the squad’s direct share falls as the wider business converts.
• Influence stakeholders across a complex matrixed organization without direct authority.
• Develop AI strategies and multi-year roadmaps tied to client value drivers, balancing near-term revenue and long-term account development.
• Translate AI capabilities into business value, identify dependencies and risks early, and address them in proposals.
• Create demand through thought leadership and unsolicited proposals, and set delivery teams up for success with clear scope and stakeholder alignment.
• Build trusted partner relationships and joint value for clients, partners and Capgemini.
• Deliver against measures including strategic-account coverage, AI bookings influenced and enabled, win-rate uplift, new-logo wins, Big Bet ownership, time to first proof of value, CXO engagements, outcome-based deal share, partner co-investment and adoption of GTM plays by local teams.

Benefits

• Paid time off, including 12–25 vacation days depending on employee grade, company-paid holidays, personal days and sick leave.
• Medical, dental and vision coverage, or provincial healthcare coordination in Canada.
• Retirement savings plans, such as a 401(k) in the U.S. or RRSP in Canada.
• Life and disability insurance.
• Employee assistance programs.
• Other benefits as provided by local policy and eligibility.
• The role may be eligible for variable incentives, bonuses or commissions, depending on the position and applicable laws.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed