Shared job
Engineering Operational Excellence Lead
Madurai · Senior
Applicants who checked fit first are 3.1× more likely to hear back
Your score for this role already exists
ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.
No credit card · 1 tap with Google
What we know about this role
MEDIUM
Garrett Advancing Motion is reviewing applications at a steady pace. Expect a standard response time as they evaluate the current pool.
First 72 hours
Still inside it - posted 1h agoEarly applicants get seen before the pile builds.
Not a repost
The first time we've seen this listing - it hasn't been closed and reopened.
Skills required
11 listedYou almost certainly match several of these already. Unlock your skill map to see the matches, the gaps, and what to fix first.
Job description
The Engineering Operational Excellence (OpEx) Lead drives engineering transformation across global New Product Introduction (NPI) and engineering value streams. This role focuses on improving speed, quality, and productivity through data-driven and digital solutions.
This position is ideal for a candidate with 5–10 years of experience who is highly analytical, comfortable with data and modern AI tools, and eager to create measurable impact. The role involves collaboration with global engineering, program management, test labs, and NPI teams while promoting a culture of operational excellence aligned with the Garrett Excellence Model (GEM).
Key Responsibilities
1) Data Analytics and Process Intelligence
- Build and maintain dashboards, KPI trackers, and performance models using Excel, Power BI, or similar tools.
- Perform statistical analysis to identify inefficiencies and opportunities for improvement.
- Use AI tools to accelerate data analysis and insight generation.
- Develop predictive models for engineering cycle time and risk analysis.
- Present data insights clearly to stakeholders.
2) AI-Driven Digitalization and Automation
- Promote use of AI tools across engineering processes.
- Identify and implement automation for repetitive tasks and reporting.
- Support integration of digital tools into existing engineering workflows.
- Stay updated on emerging AI technologies and recommend applications.
3) Process Improvement and Lean Execution
- Support transformation of engineering and NPI processes.
- Participate in value stream mapping, Kaizen events, and problem-solving activities.
- Apply Lean and Six Sigma concepts with support from senior leaders.
- Maintain process documentation and governance practices.
4) Reporting and Results Delivery
- Track improvements in engineering productivity, cycle time, and quality.
- Support planning cycles such as AOP and forecasting with performance data.
Education and Qualifications
Required:
- Bachelor’s degree in Statistics, Data Science, Mathematics, Computer Science, Software Engineering, or a related field.
Preferred:
- Master’s degree in Data Science, Analytics, Engineering Management, or Industrial Engineering.
- Certification or coursework in AI, machine learning, or analytics.
Experience Required
- 5–10 years of relevant experience.
- Strong experience in data analysis and problem-solving.
- Hands-on experience with Excel and data visualization tools like Power BI or Tableau.
- Exposure to AI tools or automation.
- Industry experience in Automotive or Manufacturing is a plus.
Key Skills
- Strong data and analytics skills
- Experience with AI tools and automation
- Statistical and quantitative thinking
- Problem-solving mindset
- Clear communication and data storytelling
- Learning agility and growth mindset
- Ability to collaborate with global teams
Preferred Certifications:
- Lean Six Sigma (Green Belt or higher)
- Agile/Scrum
- Data Science or AI certifications
Free · no signup
Get tomorrow's jobs before you have to search
Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.
No spam. Just jobs and resources.
Why people use ASAI
Someone shared one job with you. ASAI keeps finding the rest.
Scored, not searched. Every role ranked against your actual profile.
Alerts as often as hourly. Reach new roles while the pile is still small.
Skill gaps, spelled out. See exactly which requirements you don't meet yet.
Verified jobs, only. Say no to ghost jobs. Your time deserves respect.
Keep browsing