Continuous Improvement Engineer - Lean, Six Sigma

MacLean Power, LLC

Stockton (CA)

On-site

USD 78,000 - 90,000

Full time

3 days ago
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Job summary

MacLean Power Systems (MPS) in Stockton, CA is seeking a driven Continuous Improvement Engineer to lead cross‑functional Lean and Six Sigma initiatives across manufacturing operations. You will drive process improvements, mentor teams, and deliver measurable gains in quality, efficiency, and cost performance.

The role requires 5+ years in manufacturing, a bachelor’s degree in a technical field, and strong data analytics skills.

Qualifications

  • Bachelor’s degree in engineering, business management, operations management, or related discipline.
  • Minimum 5 years of experience in manufacturing or operational excellence.
  • Proven success leading Lean and Six Sigma projects with measurable results.

Responsibilities

  • Lead CI projects to improve productivity, quality, delivery, and cost.
  • Apply Lean, Six Sigma, and problem‑solving methods to reduce waste and variation.
  • Facilitate Kaizen events, value stream mapping, and standardization initiatives.
  • Partner with engineering, production, and quality teams to improve flow and first‑pass yield.
  • Ensure improvements comply with ISO and customer requirements.
  • Drive visual management, 5S, and standard work practices.
  • Coach teams in CI tools and methodologies.
  • Track progress with data-driven KPIs and dashboards.

Skills

Leadership
Root cause analysis
Statistical process control
Value stream mapping
Data analytics
Communication

Education

Bachelor’s degree in engineering or related field

Tools

Excel
Power BI
MS Projects
JDE (JD Edwards)

Job description

MacLean Power Systems (MPS) in Stockton, CA is seeking a driven Continuous Improvement Engineer to lead cross‑functional Lean and Six Sigma initiatives across manufacturing operations. You will drive process improvements, mentor teams, and deliver measurable gains in quality, efficiency, and cost performance.

The role requires 5+ years in manufacturing, a bachelor’s degree in a technical field, and strong data analytics skills.

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