About the Job You're Considering

As AI reshapes how organizations operate, compete, and create value, we are evolving our consulting model to be AI-enabled by design, augmenting human judgment with analytics, automation, and generative AI. Our teams are looking for consultants who are not only strong problem solvers, but who are excited to work differently in an AI-first world: curious, adaptable, and ready to help clients reimagine how work gets done.

Within Intelligent Industry's Supply Chain Advisory practice, we help Automotive organizations transform supply chains into intelligent, resilient, and digitally enabled value networks. Our teams partner with OEMs, mobility providers, suppliers, and manufacturing organizations to redesign operating models, improve planning and execution capabilities, strengthen supply chain resilience, and unlock business value through analytics, AI, automation, and digital transformation.

We help clients address evolving challenges including supply chain disruption, supplier risk, inventory optimization, production volatility, electrification, battery ecosystems, and AI-enabled decision making across the end-to-end Automotive value chain.

Your Role

As an End-to-End Supply Chain Advisory practitioner, you will help Automotive clients improve performance across planning, procurement, manufacturing, inventory, logistics, and fulfillment. You will work with client stakeholders and multidisciplinary consulting teams to solve complex supply chain challenges while designing future-ready operating models that improve agility, resilience, and business value.

Key responsibilities include:

• Support end-to-end supply chain transformation engagements spanning planning, procurement, manufacturing, logistics, inventory management, and fulfillment.
• Analyze supply chain performance and identify opportunities to improve cost, service, working capital, and operational efficiency.
• Assess supply chain operating models, organizational capabilities, and business processes to identify transformation opportunities.
• Develop business cases, transformation recommendations, future-state operating models, and implementation roadmaps.
• Help clients improve supply chain visibility, supplier collaboration, inventory management, and operational resilience.
• Apply analytics, AI, GenAI, and automation capabilities to improve forecasting, planning, decision making, and performance management.
• Facilitate stakeholder workshops and working sessions to align business priorities, transformation objectives, and value realization goals.
• Collaborate across planning, procurement, manufacturing, logistics, and technology teams to support integrated supply chain initiatives.
• Develop executive-ready presentations, analyses, and recommendations that support strategic decision making.
• Contribute to proposals, thought leadership, capability development, and innovation initiatives across the Supply Chain Advisory practice.

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 Experience:

• 4-7 years of consulting and/or industry experience in supply chain, operations, manufacturing, procurement, logistics, or transformation-related roles.
• Experience supporting end-to-end supply chain transformation initiatives across multiple functional domains.
• Understanding of Automotive supply chain processes across planning, supplier management, procurement, manufacturing, inventory management, logistics, and fulfillment.
• Experience conducting business assessments, process analysis, operating model evaluations, or transformation diagnostics.
• Strong analytical, quantitative, and structured problem-solving capabilities.
• Experience developing business cases, transformation recommendations, and executive-level presentations.
• Ability to translate complex data and analysis into actionable business recommendations.
• Experience facilitating stakeholder meetings, workshops, and collaborative working sessions.
• Exposure to analytics, automation, AI, GenAI, or digital transformation initiatives within supply chain environments.
• Strong communication and stakeholder management skills.
• Bachelor's degree in Supply Chain, Engineering, Operations, Manufacturing, Business, Economics, or a related discipline.

Preferred Experience:

• Experience supporting Automotive OEM, Tier 1, Tier 2, mobility, or industrial manufacturing organizations.
• Familiarity with production planning, supplier collaboration, inventory optimization, manufacturing operations, transportation, and distribution networks.
• Exposure to electrification, battery supply chains, connected manufacturing, or next-generation mobility ecosystems.
• Experience with digital supply chain platforms, control towers, planning solutions, or supply chain analytics tools.
• APICS/ASCM certification, Lean Six Sigma certification, MBA, or equivalent credentials.

The base compensation range for this role in the posted location is: $105,600 - $199,480

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

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini's discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.