Manufacturing Process Engineer – Lead Optimization

Coastal Elite Pro; Grayling (MI); On-site; USD 110,000 - 135,000; Full time

Job summary

Coastal Elite Pro in Michigan seeks a senior manufacturing leader to guide process development, optimization, and implementation across our production lines. This role focuses on delivering robust, scalable processes with an emphasis on safety, quality, and efficiency.

You will lead cross-functional engineering efforts, drive continuous improvement, and use data-driven problem solving to diagnose and resolve production issues, while enhancing reliability and reducing cost.

Qualifications

• Experience leading cross-functional teams in manufacturing environments.
• Familiarity with equipment qualification and process validation practices.
• Proficiency in using manufacturing data to troubleshoot and drive decisions.
• Ability to apply structured problem-solving to improve processes and outcomes.
• Focus on safety, quality, productivity, cost, and reliability in manufacturing operations.

Responsibilities

• Lead manufacturing process development, optimization, and implementation.
• Manage cross-functional projects covering equipment qualification and process validation.
• Drive continuous improvement initiatives to strengthen manufacturing performance.
• Use manufacturing data and structured problem-solving to diagnose and resolve production issues.
• Enhance manufacturing capabilities through effective process and reliability improvements.

Skills

Engineering leadership

Cross-functional collaboration

Equipment qualification

Process validation

Data-driven decision making

Structured problem-solving

Safety & quality focus

Job description

Coastal Elite Pro in Michigan seeks a senior manufacturing leader to guide process development, optimization, and implementation across our production lines. This role focuses on delivering robust, scalable processes with an emphasis on safety, quality, and efficiency.

You will lead cross-functional engineering efforts, drive continuous improvement, and use data-driven problem solving to diagnose and resolve production issues, while enhancing reliability and reducing cost.