Sr. Manager - E2E Supply Chain Advisory (AI & GenAI)

Capgemini • Chicago, NY

22d • Remote

About The Position

At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting-edge solutions. Join us to drive transformation tailored to our client's challenges of today and tomorrow. Informed and validated by science and data. Superpowered by creativity and design. All underpinned by technology created with purpose. Capgemini Invent's Supply Chain Advisory practice helps clients convert AI and GenAI from pilot projects into scaled, governed enterprise value - across planning, IBP, logistics, inventory, and fulfillment.

Requirements

• 12+ years in end-to-end supply chain transformation, including 7+ years in consulting/advisory leading multi-workstream programs.
• Demonstrated business development track record: pipeline creation, deal shaping, revenue delivery in consulting.
• Deep domain expertise: IBP, demand/supply planning, logistics, inventory optimization, supply chain performance management.
• Designed and delivered Agentic AI solutions across the end-to-end Supply Chain ecosystem, driving measurable business value.
• Led enterprise AI transformations, integrating Agentic AI, governance, adoption, and value realization frameworks.
• Bachelor's degree required; MBA or equivalent graduate degree preferred.
• Executive communication and storytelling skills; ability to translate AI concepts into board-level business decisions.
• Willingness to travel based on client and engagement needs.
• Bachelor’s degree in supply chain, Engineering, Business, or a related field; MBA or relevant Master’s preferred.

Nice To Haves

• Hands-on experience with at least one major planning/AI platform (e.g., SAP IBP, Kinaxis, o9, Blue Yonder, Ariba, Coupa) or equivalent.
• Experience building alliances across supply chain, data, and AI platforms, translating ecosystem capabilities into differentiated client offerings and scalable solutions.
• Drive AI governance: data/model governance, responsible AI adoption, and compliance with client and regulatory standards (e.g., EU AI Act, NIST AI RMF where applicable).
• Demonstrated contribution to thought leadership, asset development, or capability building within a consulting or advisory practice.

Responsibilities

• Lead cross-functional supply chain transformation engagements (planning, IBP, logistics, inventory, fulfillment), embedding AI/GenAI into future-state design.
• Define and prioritize AI use cases (scenario intelligence, decision-support copilots, autonomous planning, disruption sensing) with quantified value cases tied to executive priorities - not just capability demos.
• Responsible for revenue generation around AI‑enabled supply chain offerings, including go‑to‑market strategy, deal closure, and ecosystem partnerships.
• Design target operating models integrating data, analytics, automation, and human decision rights, with clear governance and adoption metrics.
• Act as trusted advisor to VP/C-suite client stakeholders; lead executive workshops and investment decision support.
• Lead and mentor a team; own staffing, development, and delivery quality across engagements.
• Contribute to practice assets, methodologies, and published thought leadership.
• 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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior