Engineering Operational Excellence Lead
Garrett – Advancing Motion (company site, opens in a new tab)5–10 yrsMaduraiOn-siteDirect career pageEst. 12–20 LPA
Posted on 16 Sept
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Job description
Structured overview of role & requirements
About This Role
- Drive engineering transformation for global New Product Introduction (NPI) and engineering value streams focusing on speed, quality, and productivity improvements.
- Develop and maintain data-driven dashboards, KPI trackers, predictive models using Excel, Power BI, and AI tools to analyze and present engineering process insights.
- Lead AI-driven digitalization and automation initiatives within engineering processes, and support lean process improvement and governance activities.
Minimum Requirements
- Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Software Engineering, or related field.
- 5–10 years of relevant experience with strong data analysis and problem-solving skills.
- Hands-on experience with Excel and data visualization tools like Power BI or Tableau, plus exposure to AI tools or automation.
- Not explicitly mentioned: Notice period requirement; Industry experience in Automotive or Manufacturing is a plus but not mandatory.
Ideal Candidate Profile
- Experienced in applying data analytics and AI tools to improve engineering productivity and cycle time in complex environments.
- Comfortable collaborating with global cross-functional teams including engineering, program management, and labs.
- Familiar with Lean Six Sigma and continuous improvement methodologies to drive operational excellence.