Continuous Improvement Manager

Headquartered in Fort Mill, South Carolina, Mac Lean Power Systems (MPS) is a leading manufacturer of mission-critical and engineered components for the electric utility, telecommunications, and civil markets. Established in 1986 as a subsidiary of a larger parent company, MPS has grown substantially and now operates as a standalone company. A dedicated workforce of over 2,000 team members worldwide, MPS is renowned for its commitment to quality, responsiveness, and safety.

Our focus on vertical integration ensures the highest standards across our product lines. We operate seventeen production facilities across North America and continually invest in our manufacturing capabilities to better serve our customers.

Leads development, implementation, and sustainment of continuous improvement SPQDC initiatives within a manufacturing environment. Applies Lean, Six Sigma, and data‑driven methodologies to implement measurable improvements in operational performance, waste reduction, and labor efficiency savings.

Ensures disciplined execution of improvement projects through structured problem‑solving, statistical analysis, formal documentation practices, and robust change management frameworks, while proactively assessing risks, dependencies, and organizational impacts.

Location:

Onsite in Monroe, North Carolina.

• Establish and deploy standardized Lean and Six Sigma methodologies (DMAIC, Kaizen, Value Stream Mapping, A3, Line Balancing) across plant operations.
• Drive identification, prioritization, and execution of improvement opportunities aligned to business strategy.
• Ensure consistent application of waste elimination, One Piece Flow optimization, and variation reduction principles.
• Champion a culture of continuous improvement and operational excellence across all functional areas in cooperation with Safety and Quality.
• Lead data‑driven analysis using statistical tools (Pareto, regression, control charts, capability analysis).
• Translate operational data into actionable insights to identify root causes and systemic issues.
• Validate improvements through quantified performance metrics (COPQ, yield, cycle time, OEE, defect rates).
• Ensure sustainability through ongoing data monitoring and control plans.
• Lead cross‑functional improvement initiatives from charter through implementation and benefit realization.
• Develop detailed project plans, including scope definition, baseline performance analysis, milestones and deliverables, and resource planning.
• Track and report progress against KPIs, ensuring on‑time, measurable deliverables.
• Conduct comprehensive assessments of manufacturing and business processes to identify inefficiencies, bottlenecks, and risks.
• Evaluate process performance relative to quality standards, throughput and capacity, and cost and waste.
• Recommend improvements impacting layout, material flow, automation, and equipment utilization.
• Ensure all CI activities are fully documented, standardized, and aligned with ISO requirements.
• Conduct formal risk assessments (FMEA, risk matrices) for all major process changes and improvement initiatives while integrating risk‑based thinking into all CI initiatives.
• Evaluate impacts across safety and environmental compliance, quality and customer requirements, and operational continuity and capacity.
• Lead and coach CI practitioners and cross‑functional teams in Lean and Six Sigma methodologies.
• Provide training on structured problem solving, data analysis techniques, and standard work and process discipline.

• Bachelor’s degree in Engineering, Operations, Quality, or related field.
• 6+ years of experience in manufacturing and continuous improvement.
• Demonstrated expertise in Lean, Six Sigma, and structured problem‑solving methodologies.
• Strong experience in data analysis and statistical tools.
• Proven ability to lead cross‑functional improvement projects.
• Preferred Qualifications:
  • Six Sigma Green Belt or Black Belt certification.
  • Familiarity with ISO 9001 / 14001 / 45001 systems and risk‑based thinking.

• Analytical rigor: strong statistical and…