Quality Process Engineer

Quality Process Engineer

Requirements

• B.S. degree in scientific field and 0-5 years experience in process engineering or quality control manufacturing environment. Experience can include relevant Co-op experience.
• Excellent interpersonal skills, including the ability to interact in a professional manner with at all levels of the organization.
• Strong teamwork, leadership, and organizational skills.
• Effective communicator with peers, management, employees, customers, and vendors
• Knowledge of problem-solving methodology (A3, Six Sigma, etc.), ISO 9000, ISO 14000, AIAG quality methodology, statistical process control, and process capability all strongly preferred.
• Proficient with MS Office Applications.
• Willingness to work in a manufacturing environment where best in class quality and innovation are critical.
• Ability to manage numerous projects simultaneously and multitask efficiently.

Responsibilities

• Work in a team-based work environment.
• Manage and mentor an impactful team for the organization within your responsibility.
• Use problem solving tools in a multi-functional diverse team to eliminate process waste.
• Collect and analyze data to solve problems and help drive decisions.
• Ensure products manufactured by the team align with Michelin’s quality specifications, planning model and obtention standards.
• Build and implement progress plans that will improve quality performance.
• Ensure quality performance within the area of responsibility is a priority.
• Evaluate and validate all non-compliance, complaints, abnormalities, and performance deviations in the shop with an appropriate level of reaction.
• Monitor and improve process controls to improve machine reliability and quality results.
• Provide feedback on compliance and standards to area of responsibility.
• Develop guidelines and standards for operators based on quality referential.

Preferred Qualifications

• Knowledge of problem-solving methodology (A3, Six Sigma, etc.), ISO 9000, ISO 14000, AIAG quality methodology, statistical process control, and process capability all strongly preferred.
• Seeking candidates with an engineering degree or quality process experience in a manufacturing environment.