Your Role As a Manager / Senior Manager in Supply Chain Planning Advisory, you will lead complex advisory engagements helping organizations transform how they plan, decide, and operate across the end-to-end supply chain. You will partner with senior client leaders to design future-ready target planning operating models that integrate strategy, process, organization, data, and technology, with AI and advanced analytics embedded as decision accelerators. This role blends deep supply chain planning expertise with operating model design and transformation leadership to deliver measurable business outcomes. You will:

• Lead AI-enabled supply chain planning transformations, designing Target Operating Models across demand planning, supply planning, IBP/S&OP, and inventory optimization
• Advise executive stakeholders on how AI, advanced analytics, and scenario modeling enhance planning decisions, responsiveness, and performance management
• Design future-state planning operating models, including governance, decision rights, processes, organizational structures, and capability requirements
• Translate planning strategy and AI ambition into pragmatic, value-driven transformation roadmaps from assessment through implementation
• Serve as a trusted advisor, balancing strategic vision with execution feasibility in complex, multi-stakeholder environmentsLead and mentor cross-functional consulting teams, ensuring high-quality delivery, structured problem solving, and executive-level storytelling
• Contribute to go-to-market efforts, thought leadership, and reusable assets focused on AI-leveraged supply chain planning and operating model evolution

Qualifications & Experience Must Have

• 10+ years of experience in management consulting or advisory roles with deep expertise in supply chain planning and transformation
• Proven experience designing and leading Target Operating Models across planning functions
• Strong understanding of IBP/S&OP, demand and supply planning, and inventory optimization
• Demonstrated ability to apply AI, analytics, or decision intelligence to improve planning effectiveness and business outcomes
• Executive-level communication, stakeholder management, and problem-solving skills

Nice to Have

• Industry experience in Life Sciences, Consumer Products, Industrial, or related sectors
• Experience with AI-enabled scenario planning, predictive analytics, or digital planning transformations
• Background in large-scale change management and value realization
• Contributions to thought leadership, methodologies, or internal capability development

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: $135k to $200k 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