Quality Engineering Manager

About the role

The Quality Engineering Manager leads the Quality Engineering and Quality Engineering Technician teams within the KEJ facility. This role provides strategic and tactical direction to ensure high-quality products meet and exceed customer expectations.

Responsibilities

• Drive improvements to key metrics and customer satisfaction through cross-functional collaboration.
• Communicate directly with customers to ensure quality product standards are met.
• Lead the implementation of Lean Six Sigma strategies and ISO standards.
• Mentor Quality Engineers and Quality Engineering Technicians.
• Co-own corrective actions to closure internally and externally.
• Automate systems as controls and reporting tools.
• Reduce overall customer PPM, FPY, and COPQ metrics.
• Analyze quality data and identify trends.
• Document and implement new processes while continuously improving current processes and documentation.
• Support the development of quotations in response to RFQs.

Requirements

• Utilization of statistical analysis and tools (e.g., Chi Square, ANOVA, DOE, SPC, ES, GD&T, MSA).
• Knowledge of KEJ quality systems and international standards (ISO).
• Knowledge of applicable customer quality standards and IPC standards.
• Experience in electronics manufacturing.
• Strong mechanical and electronics knowledge and experience.
• Quality Corrective Action background.
• Disciplined problem-solving approach.
• Project leadership skills.
• Understanding of Lean/Six Sigma concepts and/or certification.
• Proven success in running Kaizen events.
• Proven track record of leading second-party audits.
• Knowledge of software and applications development processes.
• Experience leading a diverse team in a demanding environment.

Key Performance Objectives

• Short Term: Learn customer requirements and quality flow-downs, take ownership of CFT Quality meetings, automate systems, reduce PPM, FPY, and COPQ metrics, and document/implement new processes.
• Mid-Term: Implement data-driven decisions, analyze quality data, and eliminate associated costs for NPI/production.