Your Role

As a Senior Consultant within Capgemini Invent's Supply Chain Advisory team, you will help clients reimagine and transform their logistics operations to drive efficiency, resilience, and competitive advantage. You will work at the intersection of strategy and execution, designing future-ready logistics networks and operating models enabled by data, automation, and AI-driven decision intelligence.

This role focuses on solving complex supply chain challenges across distribution, transportation, and fulfillment by leveraging advanced analytics and emerging technologies, including GenAI, to unlock visibility, optimize cost-to-serve, and accelerate performance. You will own critical workstreams, collaborate with cross-functional teams, and deliver measurable business outcomes for global clients.
Your Responsibilties

• Lead logistics-focused consulting workstreams, delivering data-driven insights and AI-enabled recommendations across transportation, warehousing, and distribution networks
• Design and optimize end-to-end logistics networks using advanced analytics, scenario modeling, and intelligent decision-support tools
• Apply AI and GenAI capabilities to enhance demand sensing, supply chain visibility, and real-time decision-making across logistics operations
• Translate client business challenges into executable transformation roadmaps, integrating digital, operational, and organizational levers
• Drive performance improvement initiatives such as cost-to-serve optimization, service level enhancement, and inventory flow efficiency
• Collaborate with cross-functional teams (planning, procurement, manufacturing) to enable integrated, intelligent supply chain solutions
• Support client stakeholders through transformation journeys, including diagnostics, solution design, and implementation oversight
• Contribute to thought leadership, asset development, and market offerings in AI-enabled logistics and supply chain innovation

Qualifications & Experience

Must Have

• 3-6+ years of consulting and/or industry experience in logistics, transportation, or supply chain operations
• Proven ability to lead workstreams and deliver structured problem solving, analytics-driven insights, and client-ready recommendations
• Strong understanding of logistics network design, distribution strategies, or transportation optimization
• Experience working with data and analytics to drive decision-making; exposure to AI or advanced analytics in supply chain
• Exposure to GenAI use cases in supply chain (e.g., scenario simulation, automation of planning insights, or decision augmentation)
• Excellent communication and stakeholder management skills, with the ability to translate complex analysis into business impact

Nice to Have

• Experience with logistics transformation programs across industries such as Industrial or Consumer Products
• Familiarity with digital supply chain tools, control towers, or intelligent logistics platforms
• MBA or advanced degree in supply chain, operations, or related field
• Demonstrated interest in building thought leadership, client offerings, or internal capabilities

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: $110k to $160k

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