#WeAreIn for driving decarbonization and digitalization.
As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener.
Are you in?
We are on a journey to create the best Infineon for everyone.
This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills.
Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process.
In your new role you will:
Lead & standardize BE ES production reporting & monitoring control system, be the key interface to Site ES & CSC, Factory Integration/IT team as Project Manager.
Lead & drive BE Site ES team for ES benchmarking, Lean, Value Stream Mapping, Kaizen initiatives to achieve best-in-class time to market.
Orchestrate yearly target setting with all sites & DIV globally for key production speed performance indicators like Flow Factor, ES CT.
Govern and sustain the backend-wide ES WIP Flow work methods. Think ahead of today's use cases and ensure effective business process change for future manufacturing landscape and requirements.
Responsible for performing Data ETL (Extract-Transform-Load), data analysis & data visualization (Tableau) for Engineering Sample Benchmarking and Improvement Analysis.
You are best equipped for this task if you have:
Bachelor Degree in any course
Possess deep knowledge with more than 10 years of experience in Industrial Engineering, Operational Research, WIP flow management and Production Management systems.
Lean Expert and Lean Six Sigma Green Belt/ Black Belt will be preferable.
Good knowledge of Business and Data Analysis on Cycle Time.
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