Senior Continuous Improvement Specialist

Company overview

Role overview

Continuous improvement and project leadership

• Conduct time studies, workflow analysis and value stream mapping to improve productivity, safety, quality and cost.
• Lead OEE studies, set measurement standards and targets, analyze losses, and establish improvement roadmaps.
• Lead root-cause investigations, corrective actions, Kaizen events and Lean improvement initiatives.
• Lead projects from business case through implementation and sustainment; coordinate resources and track results.
• Establish and lead a Continuous Improvement Steering Committee.

Engineering, analysis and training

• Design production fixtures, workstations and layouts using CAD; use simulation to evaluate capacity and process changes.
• Support line balancing, process design and validation, PFMEA, control plans and new-product introductions.
• Prepare ROI, work-content and capital-justification analyses for senior leadership.
• Create SOPs, work instructions and technical documents; train production employees and cross-functional teams.
• Mentor junior engineers and analysts and support improvement initiatives across multiple facilities.

Education and experience

• Bachelor’s degree in industrial, mechanical, manufacturing or a related engineering discipline, or a technical diploma with equivalent senior-level experience.
• At least 6 years of manufacturing experience, including 2 years leading continuous-improvement or process-engineering projects.
• Lean Six Sigma Green Belt certification is required.
• P.Eng., E.I.T. or C.Tech designation is an asset.

Technical qualifications

• Strong knowledge of Lean Manufacturing, 5S, Kaizen, Six Sigma, 8D, value stream mapping and root-cause analysis.
• Advanced OEE knowledge, including measurement rules, loss categories, Six Big Losses analysis and validation.
• CAD proficiency with SolidWorks, AutoCAD or similar; experience with FlexSim or equivalent simulation software.
• Knowledge of process design, PFMEA, control plans, standard work, SPC, Cp/Cpk, MSA, Gage R&R, hypothesis testing and DOE.
• Experience with Minitab or equivalent statistical software and strong data analysis using Excel, Power BI or SQL; Python is an asset.