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Supply Chain AI Program Lead – Site

AGCO
Batavia, IL, US
On-site

About this role

Location

Batavia, IL, US

Your Impact

  • Conduct role and task profiling workshops at the site using AGCO's standardized framework (Human, Cognitive, Core, Admin) to create a fact-based view of how work is done today. Identify, evaluate, and prioritize AI and automation opportunities across site operations, building credible business cases for each initiative.

  • Design high-level AI agent concepts and solution blueprints for the site's highest-impact use cases. Drive local implementation of AI solutions in collaboration with central AI, IT, and digital teams, ensuring successful deployment and integration

  • Lead change management at the site — train, coach, and support site teams through the adoption of new AI-enabled ways of working. Track and report automation hours delivered at the site, contributing to AGCO's overall 100,000-hour automation target.

  • Act as the local AI champion — build awareness, run demonstrations, evangelize AI capabilities, and foster a culture of innovation at the site.

  • Collaborate with AI Program Leads at other AGCO sites to share best practices, replicate successful solutions, and drive cross-site learning.

Your Experience and qualifications

  • Bachelor’s/master's degree in engineering (Mechanical, Industrial, Manufacturing, Electrical, or similar technical discipline).5–8 years of professional experience in a manufacturing or supply chain environment.

  • Applied AI or automation certification or demonstrated project experience applying AI to business processes (business perspective, not deep ML/coding). Proven experience facilitating workshops and driving cross-functional initiatives.

  • Strong communication skills — equally comfortable presenting plant leadership and working with operators on the floor. Familiarity with Lean, Six Sigma, or Continuous Improvement methodologies.

  • Experience with agentic AI concepts or AI-driven process redesign. Familiarity with ERP systems (SAP preferred).

  • Experience in agricultural equipment, automotive, or heavy manufacturing. Working knowledge of prompt enginee

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