About The Position

At Capgemini Invent, we help organizations transform their supply chains into intelligent, resilient, and digitally enabled value networks. As part of Capgemini Invent's Supply Chain Advisory practice, you will help clients redesign operating models, business processes, and transformation roadmaps in the context of SAP S/4HANA-enabled Digital Core Modernization initiatives. Many of these transformations are enabled by SAP S/4HANA and broader Digital Core Modernization programs, creating opportunities to simplify processes, harmonize operations, improve decision-making, and leverage AI-driven capabilities across the supply chain. As a Managing Consultant, you will help clients define and implement the business vision for transformation, bridging strategy, process, operating model design, and technology-enabled change.

Requirements

  • 5-8 years of consulting experience in supply chain transformation Strategy/Advisory, operating model design, business transformation, or enterprise transformation advisory for Supply Chain.
  • Experience working on large-scale ERP-enabled transformation initiatives, preferably involving SAP S/4HANA.
  • Experience supporting business-side workstreams within SAP S/4HANA transformation programs.
  • Strong understanding of end-to-end supply chain processes and their interdependencies across planning, procurement, manufacturing, inventory, and logistics.
  • Experience facilitating stakeholder workshops and driving alignment across business and technology organizations.
  • Experience developing transformation roadmaps, target operating models, process frameworks, and business cases.
  • Strong executive communication, structured problem-solving, and change management skills.
  • Ability to translate technology capabilities into tangible business outcomes and transformation opportunities.

Nice To Haves

  • Familiarity with Digital Core Modernization, ERP strategy, or enterprise transformation initiatives.
  • Experience with process harmonization, global template design, or operating model standardization efforts.
  • Knowledge of supply chain planning solutions such as SAP IBP, Kinaxis, o9, or Blue Yonder.
  • Experience identifying AI or GenAI-enabled opportunities within supply chain operations and enterprise transformation programs.
  • MBA, APICS/ASCM certification, Lean Six Sigma certification, or equivalent credentials.

Responsibilities

  • Support clients in defining future-state supply chain operating models across planning, procurement, manufacturing, logistics, and fulfillment.
  • Lead business assessments to identify process inefficiencies, organizational challenges, and opportunities for end-to-end supply chain transformation.
  • Design target-state processes, governance structures, and decision-making models that support enterprise transformation objectives.
  • Advise clients on how SAP S/4HANA and Digital Core Modernization initiatives can enable business transformation, process standardization, and operational excellence.
  • Facilitate executive and cross-functional workshops to align stakeholders on transformation vision, priorities, and value realization objectives.
  • Develop transformation roadmaps, business cases, capability maturity assessments, and implementation strategies.
  • Help clients balance industry leading practices with unique business requirements while promoting standardization and scalable operating models.
  • Leverage analytics, AI, and Generative AI to enhance supply chain planning, decision support, and operational performance.
  • Partner with SAP and technology delivery teams to ensure business transformation objectives are reflected in solution design and implementation decisions.
  • Contribute to thought leadership, capability development, and business development efforts across the Supply Chain Advisory and Enterprise Transformation practices.
  • 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
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