Principal Engineer, Continuous Improvement

12 ago - Forlì
Celanese Gruppe

Overview

The Principal Engineer, Continuous Improvement enjoys data mining, identifying improvement opportunities, leading teams to identify root cause and implement and sustaining improvements.
Responsibilities

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- Lead projects of cross functional global teams through the DMAIC cycle to identify non-value added steps and waste in the process and identify and evaluate opportunities for improvement.
- Help manage company productivity program and support sites in achieving their yearly goals.
- Drive a culture of data-based decision making in both transactional and manufacturing processes.
- Analyze data to discover trends and issues and identify predictive and preventative actions to improve reliability and reduce variation in a process.
- Help establish a structure and culture of continuous improvement across the global corporation
- Provide training on data analysis, lean and Six Sigma tools.
- Implement a structure to sustain improvements and embed the new processes into the current workflow.
- Lead and assists in defining,



setting and implementation performance improvement strategies at locations.
- Collaborate with and influence senior management on areas of improvement and translate mgmt. expectations into project deliverables.
- Assist and lead digitalization and automation efforts globally that will assist in predictive maintenance etc.
- Drive the standardization, implementation and communication of organizational best practices
- Drive the implementation of Organizational Management at sites and the implementation of Leading and Lagging KPIs.

Qualifications

Required Knowledge/Skills/Abilities:

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- Lean Manufacturing training and implementation of Lean Tools in both Manufacturing and Transactional environments
- Lean Six Sigma training and certification (Green Belt, preferred Black Belt, Master Black Belt, or Lean Master Black Belt)
- Strong statistical background and skilled at data analysis
- Working knowledge of MiniTab (SAP and Power BI preferred)

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