Eng OpEx and Madurai R&D Leader

Engineering Operational Excellence and Madurai R&D Leader is responsible for driving Engineering Transformation across Garretts global New Product Introduction (NPI) and Engineering value streams. Focused on driving continuous productivity for engineering with a structured data driven and digitally enabled (including with AI tools) process improvements that enhance speed quality and cost across Engineering and NPI processes.
This role requires a strategic change leader capable of diagnosing systemic inefficiencies designing sustainable Lean systems and elevating Engineering performance through rigorous process governance advanced problem solving and breakthrough productivity addition the role will be pivotal to grow our engineering presence in Madurai as the lead for R&D. This means the incumbant will need to work with other engineering functions to identify talent and opportunities and look after interns who can grow into the future engineers.
He/She will partner with global Engineering Program Management Test Labs Prototype Development Design Engineering Simulation Manufacturing Engineering to build a culture of excellence and operational discipline consistent with Garrett Excellence Model (GEM) and modern product development best practices.

Key Job Areas of Responsibilities

Engineering & NPI Process productivity and transformation
Lead structured transformation of end to end engineering and NPI value streams targeting cycle time RDE productivity first time right design and digital process maturity.
Create & manage a prioritized portfolio of breakthrough improvement opportunities aligned with AOP STRAP and Enterprise initiatives.
Re-baseline Engineering processes (design simulation testing proto release) through Lean digital workflow optimization and waste elimination.
Lean & Six Sigma Deployment
Deploy multi-level Value Stream Mapping (VSM) Lean Baseline diagnostics Kaizen events and structured A3 problem-solving.
Institutionalize Lean Engineering practices such as Garrett Excellence Model (GEM) visual management standard work and engineering flow optimization.
Apply Six Sigma tools for root cause analysis process capability improvement and variability reduction in engineering workflows.
Measurable Productivity KPIs and results
Deliver measurable improvements in engineering cycle time engineering productivity (RDE) engineering rework defect reduction and NPI schedule adherence.
Use engineering process data to forecast improvement impact for Quarterly forecasts AOP and STRAP.
Change Leadership & Engagement
Operate as a Change Agent who challenges legacy thinking and stimulates a culture of continuous improvement and accountability.
Facilitate cross-functional engagement across NPI Engineering domains Program Management Test Labs Prototype Shops and other global stakeholders.
Coach engineering teams to develop structured problem solving capability (Lean Six Sigma GEM DMAIC).
Governance & Execution Rigor
Basic knowledge of Program management concepts and practicies to manage multiple Process excellence projects
Establish Engineering Operational Excellence governance including Management Operating System (MOS) KPIs cadences A3 reviews and project execution standards.
Build robust process documentation standard work and hard wired sustainability mechanisms.
Help build and train the Madurai R&D team
Help build the Madurai R&D team not only for OpEx but also for other global R&D functions as needed
Identify attract develop talent from Madurai and Tamil Nadu to join the specific roles needed in R&D
Build a plan and pipeline for R&D Madurai interns

Education/Qualifications

A Bachelors degree in Mechanical / Production / Aerospace / Industrial / Automobile Engg or equivalent experience.
Mechanical Master Degree in Engineering Management / Industrial Engineering is added advantage

Experience Required

810 years Engineering experience in New Product Development / NPI ideally in Automotive or Turbomachinery.
35 years driving formal change management and structured improvement programs in a global organization.
Experience collaborating across Engineering Program Management Test Prototype Manufacturing Engineering or similar technical domains.
Experience with data analytics and AI

Key Skills & Knowledge

Six Sigma Black Belt or Lean Expert certification
Masters degree in Engineering Management / Industrial Engineering preferred.
Working knowledge of:
Experience with AI and prompt engineering
SPC statistical tools advanced data analytics
Program management fundamentals