Lean-Driven Quality & Industrial Engineering Manager

Novo Logistics; Lexington (SC); On-site; USD 90,000 - 120,000; Full time

Job summary

Novo Logistics in Lexington, SC seeks a Quality and Industrial Engineering Manager to design, analyze, and optimize warehouse processes. You will lead process engineering initiatives, drive continuous improvement, and partner with Operations leadership to boost productivity and reduce waste.

The role focuses on workflow design, labor standards, data-driven problem solving, and scalable solutions for new programs.

Qualifications

• Bachelor's degree in Industrial Engineering or related field.
• 3–5 years of experience in industrial/process engineering or operations optimization.
• Warehouse or distribution center experience preferred.
• Experience implementing Lean or Six Sigma initiatives required.
• Six Sigma Certification (Green Belt or Black Belt) preferred.
• ISO 9000 or similar quality systems experience preferred.

Responsibilities

• Lead process engineering and Continuous Improvement initiatives.
• Analyze workflow, labor utilization, material flow, and layouts to improve efficiency.
• Develop engineered labor standards and performance metrics.
• Conduct time studies, capacity modeling, and productivity analysis.
• Create KPI dashboards to monitor quality, productivity, and service.
• Partner with site leadership to design scalable operational solutions.
• Train and coach team members on process improvements and standards.
• Prepare analytical reports for executive decision-making.

Skills

Industrial Engineering

Data analysis

Process optimization

Time studies

Problem solving

Team leadership

Communication

Multitasking

Education

Bachelor's degree in Industrial Engineering or related field

Tools

Excel

PowerPoint

Data modeling

Job description

Novo Logistics in Lexington, SC seeks a Quality and Industrial Engineering Manager to design, analyze, and optimize warehouse processes. You will lead process engineering initiatives, drive continuous improvement, and partner with Operations leadership to boost productivity and reduce waste.

The role focuses on workflow design, labor standards, data-driven problem solving, and scalable solutions for new programs.