Digital Quality roadmap implementation (Quality 4.0)
Drive the digital transformation of the BSEMEA quality assurance processes applied in the manufacturing
Respect plan realization for projects as Quality SME
Support the injection of digital Quality capabilities in the BSEMEA Quality community
Manufacturing Quality support to new process industrialization
Lead cross functional teams to evaluate design and processes at the early product design phase
Perform Risk Process Quality assessment by PFMEA analysis on existing and new technologies and ensure robust linkage with upstream Risk Analysis (DFMEA/DRBFM) with special focus on Q Characteristics, ensuring cost effective preventive and detection methods in the process
Develop measurement technologies, control strategies, information systems, and manufacturing methods that achieve ambitious specifications at massive production scale
Develop and implement cutting edge quality inspection tools to evaluate functional, dimensional and cosmetic part characteristics
Compile and evaluate data to determine appropriate limits and variables for process and part specifications
Problem solving based on data analysis; provide guidance to determine root cause and recommend potential solutions
Interface with internal and external groups to ensure that proper definition of quality expectations and that appropriate assurance techniques are used for the product
Coach and ensure Quality mindset & awareness is built in the Team
Quality Risk reduction and Continuous Improvement
Perform root cause analysis of quality issues, often using advanced problem solving tools (like Lean Six Sigma, Kepner Tregoe, Shainin Red X, Design of Experiments)
Reinforce management systems to identify and reduce risks along supply chain and assure compliance to all Quality requirements
Implementing the risk reduction concept according to the GMP guidelines & global policies
Timely issuing and/or updating relevant Quality Standards and Co PFMEA
Periodical reporting on activities status to management
Support manuf. plants
Continuous and timely support to plants on Quality related matters
Qualifications & Experience Required
Education, Master, other certification
Degree in Mechanical Engineering, Industrial Engineering, Manufacturing Engineering, Industrial Technology or equivalent or equivalent competency level gained during previous work experience and high school degree
Experience
Previous working experience in Tire Industry considered as a plus
Technical skills
One or more of below competences/skills will be a plus
Knowledge in data science/machine learning models
Quality tools for problem solving (5Why, 8D, Fishbone, etc..)
DMAIC
6 SIGMA green belt
Design of Experiment
Data analysis and visualization software (Tableau, Minitab, etc.)
Basic knowledge on cloud platforms, especially Microsoft Azure
Basic knowledge on Tire technology/tire manufacturing process
Open mind and flexibility, Ability to interact with people, Ability to work under pressure, Good communication skills
Positive mindset and win-win approach will be key ingredient for the success in this role, in order to translate daily challenges in new business opportunities
The incumbent must be able to understand problems from customer perspective and be able to manage them with self-confidence and autonomy
The position requires a structured and disciplined working approach in order to successfully manage daily work, special projects and critical situations
Languages Skills
English: fluent (Must)
To be considered: Italian, Spanish, French, Polish, Hungarian
Don't forget to mention EuroEngineerJobs when applying.