You can look forward to these exciting tasks:

•    Drive overall output and performance of plant Quality function, identify trends and proactively engage with teams to meet and exceed customer expectations and prevent performance deterioration
•    Strong interaction and collaboration with regions, business units and functions to implement CI roadmap to achieve quantifiable improvement of plant Q-performance (e.g. improve customer escalation status, reduce overall Q-cost and complaints)
•    Lead special projects on request in-line with Q-operations strategy and roadmap
•    Drive robust problem solving of customer/internal complaints using relevant problem solving methods and tools (8D, QRQC, 6 Sigma etc.)
•    Lead effective global cross-reading across regions, business units and plants
•    Support customer and supplier escalation issues on behalf of regions and plants
•    Compliance, implementation and optimization of mandatory standards and procedures
•    Drive robust handling of relative Q-cost (sorts, complaint cost, scrap) in accordance with relevant procedures/processes
•    Drive governance of Q-award and WPS Q-dimensions and confirm compliance
•    Provide relevant training for Quality operations processes and procedures

Here’s what you can bring to the team:

•    Degree in Engineering (Quality / Production  or similar)
•    Experience in Quality department /industrial environment, ideally within the glass industry
•    At least 3 years of experience as Team Leader 
•    Proficient in English, with German or French required as a second language.
•    Profound knowledge and understanding of relevant Quality & HSE Management Systems, Quality methods & tools, customer specific requirements and their implications
•    Excellent technical knowledge of relevant production processes
•    Working knowledge of relevant company, legal and customer standards
•    Working knowledge of problem solving and continuous improvement tools (e.g. 5Why, QRQC, Kaizen, Fishbone, 5S)
•    Excellent knowledge of software applications used in manufacturing (e.g. SAP, statistical software)
•    Knowledge of product liability & data safety and protection requirements
•    Strong, data-driven decision-maker, results-oriented, financial & business acumen and analytical thinking