Continuous Improvement Technician: Lead Lean Kaizen & 5S

Koch Enterprises Family of Companies; Strafford (MO); On-site; USD 52,000 - 68,000; Full time

Benefits offered by this job

Competitive pay

Benefits

Job summary

American Products in Strafford, MO is seeking a Continuous Improvement Technician to drive efficiency on the production floor. You will lead Kaizen events, conduct time studies, and work with operators and supervisors to remove bottlenecks and improve safety, quality, and workflow.

You should have manufacturing experience and hands-on problem solving, plus experience with Lean, 5S, and data analysis in Excel.

Qualifications

• Experience in manufacturing and production processes.
• Lean, Kaizen, 5S, or process improvement experience.
• Proficient with data collection and analysis using Excel.
• Strong communication and collaboration skills.
• Ability to work independently with operators and supervisors.

Responsibilities

• Lead and support Kaizen events and continuous improvement projects.
• Conduct time studies and analyze production processes.
• Identify bottlenecks and implement practical solutions.
• Improve workstation layouts, material flow, and work methods.
• Develop and maintain work instructions and standard work.
• Support root cause analysis and corrective actions.
• Promote 5S, visual management, and waste reduction initiatives.
• Track results to ensure improvements are sustainable.

Skills

Manufacturing knowledge

Lean / Kaizen

Data analysis

Communication

Independent work

Education

Technical certificate / Associate degree in manufacturing or engineering technology

Tools

Excel

Microsoft Office

Job description

American Products in Strafford, MO is seeking a Continuous Improvement Technician to drive efficiency on the production floor. You will lead Kaizen events, conduct time studies, and work with operators and supervisors to remove bottlenecks and improve safety, quality, and workflow.

You should have manufacturing experience and hands-on problem solving, plus experience with Lean, 5S, and data analysis in Excel.