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
The Garrett Engineering organization is responsible for developing a differentiated product portfolio of boosting solutions that enables our customers to set new benchmarks in vehicle performance – both for our traditional core turbocharger business as well as new growth areas such as electrification and software.
Skills Required
- Bachelor's degree in Statistics, Data Science, Mathematics, Computer Science, Software Engineering, or a related field
- 5-10 years of relevant experience
- Strong experience in data analysis and problem-solving
- Hands-on experience with Excel and data visualization tools such as Power BI or Tableau
- Exposure to AI tools or automation
- Master's degree in Data Science, Analytics, Engineering Management, or Industrial Engineering
- Certification or coursework in AI, machine learning, or analytics
- Automotive or manufacturing industry experience
- Lean Six Sigma Green Belt or higher
- Agile or Scrum certification
- Data Science or AI certification
Garrett Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Garrett and has not been reviewed or approved by Garrett.
-
Fair & Transparent Compensation — Pay is considered fair or above average in several teams and markets, with comments highlighting “fair pay for job” and “above average pay.” Core engineering compensation in the U.S. is characterized as competitive in certain locations, albeit based on directional data.
-
Leave & Time Off Breadth — Time-off programs include “unlimited” PTO at some locations and a defined holiday schedule, with many describing positive experiences using time away. Other sites reference straightforward vacation/PTO programs within a globally guided framework.
-
Retirement Support — A 401(k) with a company match is a standard element of the U.S. package and is consistently referenced. This provides a conventional foundation for retirement savings within the total rewards mix.
Garrett Insights
What We Do
Garrett Motion is an automotive technology leader, serving vehicle manufacturers worldwide for more than 65 years. Garrett’s cutting-edge technology enables vehicles to become cleaner, more efficient and connected. The company’s broad offering of gas and diesel turbocharging applications, electric boosting and fuel cell technologies and automotive software solutions empowers the transportation industry to redefine and further advance motion.
