Engineering Supervisor- Quality

At Greene, Tweed, you'll find the cutting-edge technology, world-class polymer expertise and endless advancement opportunities you'd expect from a multi-national industry leader. You'll find them all in an environment that embraces diversity in people and opinions, moves decision making to the point of impact, and celebrates your success.

If you enjoy continuous learning and are excited about working with and creating technological solutions, explore career opportunities with Greene, Tweed.

Essential Duties/Responsibilities:  

• Supports company safety (EHS) policies and initiatives, supports and drives safety culture. Ensures investigations are properly conducted and corrective actions are carried out as assigned.
• Assists in the design and implementation of AS9100, ISO 9001, NADCAP and Customer required Quality Systems.
• Provide daily supervision to the Quality engineering and technical team members.
• Build and engage team through onboarding, training, setting objectives, monitoring, and coaching on progress.
• Establish cross-training for all functions/members of the team to ensure department coverage and on-going support.
• Resolve first level cross functional escalations.
• Lead as well as support the transfer of new products and capabilities into production and maximize operational readiness leveraging QMS and internal GT processes and procedures.
• Partner with Engineering and Manufacturing in the design stage in order to build quality into the product design and manufacturing process, including failure mode effects analysis (FMEA) as required.
• Provide training and coaching to Quality and Operations in quality systems and related areas such as APQP, RCCA, Problem Solving, Statistical Process Control, Gage R&R and DOE.
• Lead process and product quality improvements, working with Engineering and Operation in the areas of scrap, process capability, warranty, etc.
• Support and lead Root Cause/ Corrective Action investigations to respond to non-conformances
• ​Support site-wide calibration program
• Communicate with customers/suppliers as needed.

Required Minimum Qualifications

Education/Certifications:  Bachelor’s degree in an Engineering discipline is required. Lean Practitioner or Six Sigma Green Belt preferred

Skills and Experience: 

• 5+ years in a related Engineering role supporting manufacturing operations
• 2 years of supervision experience preferred
• Experience working in a highly regulated industry such as aerospace, automotive, biomedical, etc. preferred.
• Knowledgeable in Lean Manufacturing, Six Sigma methodology
• Demonstrated results towards process improvement, problem solving methods, DOE, Gauge R&R, preferred
• Experience working in a highly regulated industry such as aerospace, automotive, biomedical, etc. preferred
• Working knowledge of SPC software (e.g Minitab) & analysis methods preferred
• Effective technical communication / presentation skills with internal and external customers
• Knowledge of ISO 9001/AS9100 preferred​
• Project Management experience/certifications a plus

Job Environment: Select from drop down menus below to briefly summarize work environment and physical/mental requirements necessary.

Physical Requirements:          

            Standing                                  Occasionally (16-45%)

            Sitting                                      Occasionally (16-45%)

            Lifting                                      Up to 25lbs without assistance

            Carrying                                   Up to 25lbs without assistance

            Walking                                   Occasionally (16-45%)

            Hearing                                     Ability to detect noises with or without corrective device(s)

            Vision                                      Clarity of vision, with or without corrective lenses

Mental Requirements:            

            Problem Solving                       Frequently (46-100%)

            Making Decisions                     Ability to make decisions that have a moderate impact

            Supervise                                  Frequently (46-100%)

            Interpret Data