Principal Client Value Partner - Retail

Celonis Celonis · Data AI · Munich, Germany · Value Engineering

This role involves bridging business and technology for enterprise retail clients, guiding C-suite executives in designing and operationalizing large-scale cloud, edge, and AI platforms. The focus is on translating strategic goals into actionable plans using Process Intelligence software and AI/ML, architecting transformational programs, and driving measurable ROI through process optimization and automation, with a strong emphasis on Responsible AI.

What you'd actually do

  1. Translate Strategy to Operations: Analyze the client's strategic goals and map them to a long-term vision utilizing Process Intelligence software.
  2. Build the Business Case: Develop robust Business Cases and AI roadmaps in support of organizations. Identify opportunities for general automation, Edge compute, and AI/ML pipelines across hybrid infrastructures.
  3. Partner with infosec and legal teams to define strict guardrails for AI data collection, training, privacy, and Responsible AI.
  4. Drive significant P&L and Working Capital savings while automating workflows to save thousands of hours of manual effort for clients.
  5. Drive innovation utilizing IoT, computer vision, and experimental GPUs.

Skills

Required

  • 15+ years of experience designing and operationalizing large-scale platforms
  • Experience serving as a Consultant, Senior Consultant, Manager, Director or Vice President
  • Track record of driving large-scale transformation programs
  • Deep understanding of accounts payable and procurement operations
  • Understanding of the modern supply chain stack (SAP S/4HANA, Oracle, TMS/WMS systems)
  • Exceptional stakeholder management skills

Nice to have

  • Experience at a global Retail, Logistics, or Supply Chain-intensive firm
  • Strategy Consulting experience
  • Experience impacting the P&L through inventory optimization, logistics efficiency, and cash flow improvement
  • Experience managing multi-year deployments for multi-national CPG clients
  • Experience working closely with application owners, server owners, managed service providers, and business leadership

What the JD emphasized

  • 15+ years of experience designing and operationalizing large-scale cloud, edge, and AI platforms
  • strict guardrails for AI data collection, training, privacy, and Responsible AI
  • proven track record delivering solutions for major enterprises
  • proven experience working closely with application owners, server owners, managed service providers, and business leadership

Other signals

  • AI/ML platforms
  • Edge AI
  • Process Intelligence Graph
  • AI roadmaps
  • AI/ML pipelines
  • Responsible AI