Mettler-Toledo GmbH
Urdorf
Manager Industrial Engineering
- 07 October 2026
- 100%
- Permanent position
- Urdorf
Job summary
Process Analytics, part of METTLER TOLEDO, leads in field instruments for liquid and gas analysis. Join a proactive team driving digitalization and automation!
Tasks
- Oversee digitalization and automation of production processes.
- Lead Lean Manufacturing Execution Systems (LMES) implementation.
- Manage Industry 4.0 projects to boost productivity and quality.
Skills
- Seeking a strong leader with experience in operations and engineering.
- Excellent communication and problem-solving skills required.
- Familiarity with production and quality systems is essential.
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About the job
Process Analytics is a division within the METTLER TOLEDO Group and a leading provider of field instruments for the analysis of liquids and gases in the process industry. At our headquarters in Urdorf, we develop and produce high-quality sensors for controlling production processes, which we sell worldwide through our own market organisations. For our Urdorf location, we are looking for a proactive, solution-oriented, and communicative leader who actively drives the digitalisation, automation, and technical advancement of our operations organisation, as: Manager Industrial Engineering 100% (all genders). In this role, you will undertake the following tasks: You are responsible for the digitalisation and automation of production processes and drive the introduction and further development of the Lean Manufacturing Execution System (LMES). You ensure the integration of production, quality, and ERP systems and develop the necessary data and interface landscape. You lead automation, Industry 4.0, and infrastructure projects to increase productivity, quality, and transparency. You are responsible for investments in production facilities and technical infrastructure. You further develop maintenance, servicing, and monitoring concepts and ensure high equipment availability. You work closely with Production, Process Engineering, Quality Assurance, SCM, and R&D.
