Process Excellence and Agentic Change Manager

Overview

In this role you will lead the integration of process excellence with agentic AI to transform supply chain, procurement and operations. You’ll work within a cross-functional team to diagnose processes, design AI-enabled solutions and drive change with clients. The role blends analytics, process mining and human-centered change leadership to deliver tangible outcomes at scale. You’ll engage with leading platforms and contribute to a growing practice at the forefront of agentic AI in operations.

Pay / Benefits

• 30 days vacation per year
• private medical insurance
• 3 extra days leave per year for charitable work

Responsibilities

• Lead end-to-end process diagnostics using process mining, data analysis and operational assessment across supply chain, procurement and operations
• Design agentic AI solutions including orchestration frameworks, agent workflows and integration architecture
• Direct consulting workstreams with scope, quality, timelines and client outcomes, coordinating cross-functional teams
• Define redesigned target processes, roles and governance reflecting AI-enabled operations
• Translate AI potential into deployed solutions using platforms and emerging agentic frameworks
• Apply decision intelligence to translate problems into AI-enabled decisions and workflows
• Lead change management including stakeholder engagement and capability building
• Identify growth opportunities, shape proposals and contribute to client development
• Coach junior colleagues and contribute to AI assets and methodologies

Key requirements

• 6–10 years of experience in process excellence, intelligent automation, data and AI, or supply chain consulting/operations
• Strong process thinking and data analytics with experience in process mining (e.g., Celonis, Minit, UiPath Process Mining) and Lean Six Sigma or structured redesign
• Ability to translate supply-chain problems into AI-enabled decisions; knowledge of AI, ML, GenAI, RAG and decision intelligence platforms (e.g., Aera Technology, Palantir)
• Practical exposure to AI, automation or agentic technologies (RPA/IPA, LLMs, multi-agent frameworks) and capacity to engage with engineers and data scientists
• Working knowledge of supply chain, procurement or operations processes and ability to engage operational stakeholders
• Delivery track record leading multi-stakeholder workstreams in ambiguous environments
• Strong facilitation, storytelling and stakeholder engagement; ability to explain AI concepts to non-technical audiences
• Cross-industry experience in Industrials, Consumer Goods, Retail, Energy, Life Sciences, Logistics or Financial Services
• A relevant degree; certifications such as APICS, CIPS, Lean Six Sigma or data/AI certifications are advantageous

• analytical and curious mindset
• client-facing confidence
• facilitation and storytelling
• Celonis
• Minit
• UiPath Process Mining

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