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Mid-senior niche operations role with data skills attracts moderate applicant competition.
Role mixes analytics with manufacturing NPI domain knowledge, making cross-industry transferability moderately limited.
Explicit 5–10 years requirement plus mandatory analytics and process skills enforces moderate shortlisting rigidity.
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.
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.
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.