Plant Production Quality Engineer

Faurecia•Columbus, IN

9d•Onsite

About The Position

The Plant Quality Engineer is responsible for implementing process control programs that will assure production of finished goods that meet or exceed customer-specified requirements. They will lead continuous improvements by utilizing the appropriate quality tools and provide data analysis. The main missions of the role are to conduct multiple projects simultaneously, ranging from feasibility phase to post launch quality assessment and throughout production life; reduces PPM, Scrap, and overall Cost of Quality KPI’s. Facilitate Failure Modes and Effects Analysis (FMEA) with Engineering in conjunction with advanced quality-planning activities and monitor the status throughout production life. Develop, implement, and maintain Statistical Process Control techniques. Assure compliance of the documented quality system (ISO/TS16949 or IATF16949) and promote consistency throughout the organization. Conduct investigations to determine causes of defects, make recommendations for corrective action. Maintain customer complaint log and facilitate and participate in the corrective action process. Instruct and train personnel in techniques including Seven Quality Basics and use of audit and testing devices. Monitor and revise quality documentation as required. Visit customers and suppliers when necessary. Act as a liaison to internal and external customers. Review all production methods for compliance to quality standards and for improvement of product and quality standards. Perform all responsibilities with ISO/TS16949 or IATF16949 system requirements. Validate gage studies with Mini Tab, leads DOE activities to replicate process/product failures; drives 5-Y and QRCI processes, process capability improvements and GAP specific analysis of variable data. All other tasks assigned.

Requirements

Bachelor’s degree in Mechanical Engineering
Minimum of two (2) years automotive experience
Exposure to Customer Interactions
Strong analytical and proven team-oriented problem solving-skills required.
Strong customer satisfaction orientation
In-depth knowledge of quality engineering techniques
In-depth knowledge of Metrology, GD&T, PPAP/APQP, PFMEA, DOE, Capability & Gage Studies
Alignment to Leadership Competencies: Customer Focus, Drive Results and Instills Trust
Above average communication skills and interpersonal skills
Teamwork, Agility, Accountability
Commitment to the highest ethical standards and willingness to adhere to Faurecia’s Code of Ethics and Code of Management
Bilingual preferred (English required)

Nice To Haves

Industrial/Manufacturing Experience preferred.

Responsibilities

Conduct multiple projects simultaneously, ranging from feasibility phase to post launch quality assessment and throughout production life; reduces PPM, Scrap, and overall Cost of Quality KPI’s
Facilitate Failure Modes and Effects Analysis (FMEA) with Engineering in conjunction with advanced quality-planning activities and monitor the status throughout production life.
Develop, implement, and maintain Statistical Process Control techniques.
Assure compliance of the documented quality system (ISO/TS16949 or IATF16949) and promote consistency throughout the organization.
Conduct investigations to determine causes of defects, make recommendations for corrective action.
Maintain customer complaint log and facilitate and participate in the corrective action process.
Instruct and train personnel in techniques including Seven Quality Basics and use of audit and testing devices.
Monitor and revise quality documentation as required.
Visit customers and suppliers when necessary.
Act as a liaison to internal and external customers
Review all production methods for compliance to quality standards and for improvement of product and quality standards.
Perform all responsibilities with ISO/TS16949 or IATF16949 system requirements.
Validate gage studies with Mini Tab, leads DOE activities to replicate process/product failures; drives 5-Y and QRCI processes, process capability improvements and GAP specific analysis of variable data.
All other tasks assigned.