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Lean Manager

Primary Location: 

Quzhou, ZJ, CN

Main responsibilities 主要职责

Add main responsibilities here

  • Process Design & Improvement:
  • Analyse current manufacturing processes to identify areas for improvement in efficiency, quality,Maintenance and cost.
  • Create and maintain PFMEA, Control Plans, Work Instructions, Standard Operating Procedures (SOPs), and visual aids.
  • Lead Kaizen events, value stream mapping, and root cause analysis sessions.
  • Drive value stream mapping and elimination of non-value-added activities (waste) across end-to-end processes.
  • Automation & Digital Manufacturing
  • Identify and implement automation opportunities (robotics, cobots, vision systems, automated test rigs, conveyor/AGV/ASRS integration).
  • Develop specifications and URS for automation projects; manage vendors, FAT/SAT, and commissioning.
  • Integrate MES/SCADA/PLC data with IIoT platforms for real-time visibility and closed-loop improvement.
  • AI/ML & Advanced Analytics
  • Build and deploy AI/ML use cases:
  • Predictive maintenance using machine sensor data.
  • Automated defect detection via machine vision and classification models.
  • Process parameter optimization with multivariate analytics (SPC + ML).
  • Demand/production planning insights and bottleneck prediction.
  • Design, develop, and maintain interactive Power BI dashboards and reports to transform data into actionable business insights.
  • Monitor model performance (drift, accuracy), ensure MLOps practices, and embed outputs into shop-floor decisions.
  • Project Management:
  • Coordinate and execute CI projects from initiation to completion, ensuring alignment with business goals.
  • Track project progress, report results, and maintain documentation.
  • Training & Coaching:
  • Provide training and guidance to employees on Lean principles, problem-solving tools, and CI methodologies.
  • Promote a culture of continuous improvement across all levels of the organization.

 

To succeed 任职条件

Describe what is needed to succeed in this role. Besides the technical “hard” skills, also consider motivation and behavioral aspects. Consider what skills and experience are essential and what is desirable.

Essential

  • Education: Bachelor’s degree in Mechanical/Industrial/Manufacturing/Electrical/Mechatronics Engineering.
  • Experience: 5-10 years in industrial engineering/methods/automation within manufacturing environments.
  • Methodology: Strong grounding in Lean, Six Sigma (Green Belt preferred), and problem-solving frameworks.
  • Technical:
  • Time study, MTM, line balancing, ergonomics, layout design.
  • PFMEA, Control Plan, APQP, PPAP (for automotive/precision).
  • PLC/SCADA basics; robotics/cobot integration; machine vision.
  • Data analysis (SPC, DOE) and exposure to AI/ML concepts (classification/regression, CV).
  • Tools: CAD (SolidWorks/AutoCAD), MES/ERP familiarity, Python/R or analytics tools (optional but valued), Minitab/JMP, Power BI/Tableau.
  • Soft Skills: Strong communication, stakeholder management, structured problem solving, and change Management

 

Desirable

  • Experience with MES (e.g., Siemens Opcenter, Ignition), IIoT platforms, and data historians.
  • Hands-on cobot programming (UR, FANUC, ABB) and vision systems (Cognex, Keyence).
  • Exposure to MLOps tools, basic Python scripting for data wrangling/model deployment.

 

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