Production Supervisor

Summary

Lead and coordinate production activities to ensure the efficient manufacturing of high-quality automotive components through injection molding, connector assembly, stamping. Responsible for meeting production goals, maintaining compliance with quality standards (IATF
16949, ISO
9001), and driving continuous improvement initiatives. Supervise and develop production supervisors, engineers, technicians, and maintenance staff to ensure safety, quality, and delivery performance.

• Oversee daily operations of injection molding production lines, ensuring adherence to production schedules and product specifications.
• Plan, prioritize, and coordinate manufacturing activities to optimize efficiency, minimize downtime, and meet delivery targets.
• Collaborate with Production Control, Maintenance, and Quality teams to resolve production issues and implement corrective actions.
• Ensure compliance with quality standards (IATF
  16949, ISO
  9001) and promote a culture of continuous improvement (PDCA cycle, 3 Reals philosophy).
• Monitor KPIs and drive cost reduction, waste minimization, and process optimization initiatives.
• Develop and implement standard operating procedures and ensure adherence by all team members.
• Supervise, mentor, and evaluate production supervisors and technicians; manage performance, training, and development.
• Promote and enforce workplace safety and housekeeping (5S).
• Manage departmental budget and resources effectively.

• Bachelors degree in engineering, manufacturing, or related field; or 3–10 years of experience in injection molding manufacturing, preferably in the automotive industry.
• Proven leadership experience managing production teams and meeting manufacturing KPIs.
• Strong knowledge of injection molding processes, equipment, and tooling.
• Familiarity with quality management systems (IATF
  16949, ISO
  9001).
• Excellent problem-solving, planning, and organizational skills.
• Effective communication and conflict resolution abilities.
• Proficiency in data-driven decision-making and process improvement.
• Advanced proficiency in Microsoft Office Suite (Excel for data analysis and reporting, PowerPoint for presentations, Word for documentation, Outlook for communication).
• Ability to create and interpret charts, pivot tables, and production performance reports using Excel.