CLAAS

Head of Inbound Logistics Process Engineering (m/f/d)

CLAAS Roche-en-Régnier, Auvergne-Rhône-Alpes, France

Machinery Manufacturing · 10,001+ employees

20 h ago
Principal (10+ yrs) Full-time Hungary
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About the role

Lead and develop the Inbound Logistics Process Engineering team, drive AI and digital logistics initiatives, and own selected logistics processes, including global key-user networks and software rollouts. Develop process visions and roadmaps, strengthen collaboration across production sites, assess emerging technologies, prepare management analyses, and support regional infrastructure and continuous improvement projects.

What they look for

Team Leadership Logistics Process Engineering Project Management Change Management Artificial Intelligence Digital Transformation Product Ownership Business Case Development Stakeholder Management Global Software Rollouts Roadmap Development Continuous Improvement Cross-Functional Collaboration Benchmarking SAP Microsoft Office

Requirements

A degree in Business Administration, Industrial Engineering, or a comparable field is required, along with substantial experience in logistics or manufacturing and ideally some leadership or project management experience. Candidates should bring project and change management expertise, enthusiasm for AI and digital technologies, strong communication and collaboration skills, professional English, and proficiency in Microsoft Office and relevant SAP modules; another language such as French is an advantage.

Full description

Company: CLAAS Selbstfahrende Erntemaschinen GmbH Location: Harsewinkel, Bad Saulgau, Le Mans, Paderborn, Törökszentmiklos, Woippy Starting date: as soon as possible Career status: Management Functional area: Manufacturing Department: Inbound & Intra Logistics Process Engineering

Your role on our team:

  • Leading and developing a dedicated team within SF Logistics Process Engineering, both disciplinary and functionally
  • Steering key projects within the CLAAS AI initiative for an SCM field of action, including managing conceptual work with stakeholders, developing business cases, and implementing approved use cases
  • Taking over product ownership for specific logistics processes, including building a group-wide key user network and managing global software rollouts in close cooperation with Global IT
  • Developing and continuously improving target visions for specific logistics process clusters and building a coordinated roadmap for Global SCM
  • Driving and strengthening cross-functional and collaborative cooperation between our global production sites
  • Evaluating potential use cases for emerging logistics trends and innovative technologies
  • Preparing decision-making templates, benchmarks, and best-practice analyses, combined with regular reporting to the G-SCM Management Team
  • Supporting local business units with regional infrastructure and continuous improvement projects

Your profile:

  • Successful degree in Business Administration, Industrial Engineering, or a comparable field of study
  • Solid professional experience in a logistics or manufacturing environment, ideally with initial leadership or project management experience
  • Strong enthusiasm for digital technologies and a high affinity for exploring and integrating Artificial Intelligence (AI) solutions
  • Sound knowledge in project management and change management, with a passion for guiding people through digital transitions
  • Enthusiasm for turning ideas into reality, driving change with curiosity, and successfully implementing decisions together with the team
  • Excellent communication skills combined with a proactive, self-motivated, and collaborative mindset
  • Professional fluency in English (written and spoken); knowledge of an additional language (e.g., French) is a plus
  • Strong proficiency in MS Office and relevant SAP modules
  • Readiness for occasional business travel to our international locations

Wir freuen uns auf Ihre Bewerbung.

Ihr Kontakt in unserem CLAAS Recruiting Team

Katharina Bellmann

CLAAS Selbstfahrende Erntemaschinen GmbH

(+49) 5247 12-2585

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