Your Role Sitting within Capgemini Invent's Data Driven Transformation capability, this Director role owns the point of view, offering, and delivery standard for how agentic AI moves supply chains from copilot-style productivity tools to orchestrated, autonomous decision-making. You will define where human judgment stays in the loop, where it moves to 'human-on-the-loop' oversight, and how clients govern that shift safely at enterprise scale. Your Role: • Own the firm's point of view and go-to-market offering for agentic supply chain transformation - translating agent orchestration, multi-agent workflows, and autonomous decision systems into client-ready value cases (not just proofs of concept). • Lead redesign of end-to-end supply chain decision architecture - demand-supply balancing, exception management, scenario planning - where agents coordinate across functions rather than operating as isolated copilots. • Set and enforce governance standards for agentic deployments: autonomy boundaries, human-in-the-loop vs. human-on-the-loop design, audit trails, and alignment with emerging regulatory frameworks (EU AI Act, NIST AI RMF). • Own alliance and technology partnerships relevant to agentic orchestration (e.g., Microsoft/Copilot, SAP, AWS/Azure agent platforms, Kinaxis, o9) - co-develop assets and joint go-to-market motions. • Drive practice/offering P&L: revenue targets, pipeline ownership, deal shaping, and investment decisions for the agentic supply chain offering within Data Driven Transformation. • Advise C-suite (CSCO, CDO, CTO) on the total cost and value of agentic transformation - infrastructure, governance, change management, and 'Agent FinOps' - not just the technology narrative. • Build and scale a team spanning supply chain domain expertise and agentic engineering literacy (agent frameworks, RAG, orchestration patterns); set technical hiring bar and career paths. • Publish thought leadership establishing Capgemini's differentiated point of view. Qualifications & Experience Must-Have Qualifications • 15+ years in supply chain transformation, including 10+ years in consulting/advisory with P&L or offering-ownership accountability. • Demonstrated experience taking clients from AI pilot/copilot deployments to scaled, governed, autonomous or semi-autonomous workflows. • Working fluency in agentic AI concepts and architecture - agent orchestration, multi-agent systems, RAG, relevant protocols (MCP/A2A) - sufficient to be technically credible with CTO/CDO buyers, even if not hands-on coding. • Proven business development ownership • Experience building or enforcing AI governance frameworks: risk tiering, autonomy boundaries, audit/compliance alignment. • Bachelor's degree required. Nice-to-Have Qualifications • MBA or advanced technical degree. • Existing ownership of a technology alliance relationship (Microsoft/Copilot, SAP, AWS/Azure agent platforms, Kinaxis, o9) with a track record of joint go-to-market motions. • Hands-on exposure to agent frameworks (LangChain, LangGraph) or vector/graph databases - not required to code, but a strong signal of technical depth. • Published thought leadership or external speaking on agentic AI or supply chain transformation. • Familiarity with specific regulatory frameworks (EU AI Act, NIST AI RMF, ISO/IEC 42001). • Industry vertical depth in a priority sector (CPG, Life Sciences, Manufacturing, Retail). What You'll Love About Working Here? You'll have the opportunity to: • Build a network within the Capgemini Group and contribute to the education of other Business Units around practice offerings to support existing account expansion • Play a significant role in client proposals and RFI/RFP responses from initial brief to final sales presentations • Nurture and expand existing account relationships • Identify potential personal business relationships that can be leveraged by the practice to develop new business • Identify potential project extension and expansion opportunities while staffed on projects • Support the development of thought leadership and innovative offerings as they relate to AI/Data Science, Digital Customer Analytics, and Operational Analytics. • Support the upskilling of the team members on topics related to Data & Analytics The base compensation range for this role in the posted location is: $180,000 to $240,000 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. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws. Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include: • Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave • Medical, dental, and vision coverage (or provincial healthcare coordination in Canada) • Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada) • Life and disability insurance • Employee assistance programs • Other benefits as provided by local policy and eligibility