Continuous Improvement Expert (Quality Engineering)

Lam Research Corporation

Melbourne

On-site

AUD 120,000 - 170,000

Full time

3 days ago
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Job summary

Lam Research Corporation is seeking a senior CI expert to drive continuous improvement across manufacturing and operations. You will design and deliver training, facilitate cross-functional projects, and analyze data to identify opportunities for cost, quality, and delivery improvements.

The role requires a Black Belt certification and 7+ years of experience in semiconductor/manufacturing environments, with strong skills in analytics, problem solving, and stakeholder management.

Qualifications

  • Bachelor's degree in Engineering, Business, Statistics or related field.
  • 7+ years of experience in CI/Lean Six Sigma roles.
  • Lean Six Sigma Black Belt certification or equivalent.
  • Strong knowledge of Lean Six Sigma, DMAIC, Kaizen, 8D, FMEA, and root cause analysis.
  • Excellent analytical, training, and coaching skills.
  • Strong communication and stakeholder management across functions.
  • Proficiency in Excel and PowerPoint.
  • Experience with Power BI, Minitab, or other analytical tools.
  • Experience developing automation or digital solutions using Python or Power Platform.
  • Experience in semiconductor/manufacturing/tech industries.

Responsibilities

  • Deliver training on Scientific Problem-Solving, Lean Six Sigma, Kaizen, and related methodologies.
  • Facilitate Kaizen, Lean Six Sigma, Quality Circle, and other CI activities.
  • Analyze operational and business data to identify improvement opportunities and performance gaps.
  • Support project benefit validation and CI KPI tracking.
  • Develop reports, dashboards, and management review materials.
  • Facilitate workshops, problem-solving sessions, and knowledge-sharing Lead and facilitate cross-functional improvement initiatives focused on quality, productivity, cost, delivery, and operational performance.
  • Apply Lean Six Sigma, DMAIC, 8D, Kaizen, Value Stream Mapping, and other structured problem-solving methodologies.
  • Support teams in identifying root causes, implementing solutions, and sustaining results.

Skills

Lean Six Sigma
Training & coaching
Problem solving
Stakeholder management
Excel & PowerPoint
Python automation
Power Platform
Data analysis
Process improvement

Education

Bachelor's degree in Engineering, Business, Statistics or related field

Tools

Power BI
Minitab
Excel
PowerPoint
Python
Power Apps/Power Automate

Job description

  • Deliver training on Scientific Problem-Solving, Lean Six Sigma, Kaizen, and related methodologies.
  • Facilitate Kaizen, Lean Six Sigma, Quality Circle, and other CI activities.
  • Analyze operational and business data to identify improvement opportunities and performance gaps.
  • Support project benefit validation and CI KPI tracking.
  • Develop reports, dashboards, and management review materials.
  • Facilitate workshops, problem-solving sessions, and knowledge-sharing Lead and facilitate cross-functional improvement initiatives focused on quality, productivity, cost, delivery, and operational performance.
  • Apply Lean Six Sigma, DMAIC, 8D, Kaizen, Value Stream Mapping, and other structured problem-solving methodologies.
  • Support teams in identifying root causes, implementing solutions, and sustaining results.
  • Minimum +7 years of experience with Bachelor's degree in Engineering, Business, Statistics, or a related field.
  • Lean Six Sigma Black Belt certification or equivalent.
  • Strong knowledge of Lean Six Sigma, DMAIC, Kaizen, 8D, FMEA, Root Cause Analysis, and related methodologies.
  • Excellent analytical, problem-solving, training, and coaching skills.
  • Strong communication and stakeholder management capabilities.
  • Ability to influence and collaborate across functions and organizational levels.
  • Proficiency in Microsoft Excel and PowerPoint.
  • Effective English communication skills, both written and verbal Experience developing automation or digital solutions using Python, Microsoft Power Platform (Power Apps, Power Automate), or similar technologies.
  • Experience with Power BI, Minitab, or other analytical tools.
  • Experience supporting Continuous Improvement digitalization and operational excellence initiatives.
  • Experience in semiconductor, manufacturing, or technology industries.
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