Lead Engineer – Reliability & Analytics


  • Min 3 years
  • Chennai
Lead Engineer – Reliability & Analytics
Job Posted : Mar 27th, 2021

Job Description

Applications, Controls & Electrical – Modelling & Analytics Module – Plant Monitoring & Reliability

Describe the Department:

  • Applications, Controls & Electrical is a part of Vestas Power Solutions, which is the cornerstone of Vestas. Through innovation,
  • development and continuous product improvement, we develop the products and technologies that reduce the cost of energy and
  • bring the highest possible value to our customers and to Vestas.

To put it short: Vestas Power Solutions develops the sustainable energy solutions of the future. Power Solutions is responsible for developing, verifying and industrializing wind turbines and related products. It is here that we lay Vestas’ technical- and technological foundation for staying the global leader in sustainable energy solutions by continuously reducing the Levelized Cost of Energy.

  • The Plant Monitoring & Reliability Sub-Module currently consists of 20 highly skilled employees, primarily situated in Chennai, India
  • with teams extending to Denmark, Portugal. The department is accountable for the Plant Monitoring Products & Solutions – Health
  • Monitoring, Power Quality Monitoring, Reliability and VTMs. The team is characterized by Vestas values: Accountability, Collaboration, Simplicity and Enthusiasm which form the backbone for our culture of striving for world class.
  • We have an immediate opening for Lead Reliability Engineer, responsible for directing Reliability Projects through advanced data driven analytics.


  • Reliability modelling, distribution fitting, first-order reliability method, Monte Carlo sampling and physics-of-failure modelling
  • Promote and improve design process landscape in electrical and align processes across turbine design modules
  • Reliability analysis activities like Life Data Analysis, Reliability Block Diagrams, Reliability Theoretical Calculation using stress-based models and FTA
  • Develop, test & deliver Statistical modelling, machine learning and time-series modelling as well as working knowledge of the six-sigma methodology
  • Develop and Improve data collection tools, methods and processes for generating failure rates and other product performance data.
  • Good knowledge and understanding of Quantitative and qualitative risk assessment
  • Ability to coordination on CTQs with suppliers and colleagues in Quality department


  • M.Tech/ B.Tech in Mechanical/Reliability Engineering or Post graduation in Statistics
  • Certified American Society for Quality (ASQ) in Reliability Engineering
  • Min. 3 years of proven experience in management of medium- to high complexity development projects
  • Experienced user of Agile methodologies and Jira applications
  • Experience with global matrix organisations is desired


  • Should be enthusiastic, result oriented and have a good sense of responsibilities
  • Should have good social skills and Stakeholder Management across Vestas value chain
  • Should have a solid communication & Presentation skill
  • Working knowledge of failure analysis methodology for root-cause analysis
  • Good coding skills in SQL, R, Matlab & Python with object oriented/object functional scripting languages: Git Pipeline
  • Preferably have a background in DFR & Post production analysis

What Vestas Offer:

You will be part of the pioneer within sustainable energy solutions and you will get the chance to make an impact on the green agenda with innovative solutions. In a fast-growing organization, you will find yourself in an exciting and sometimes unpredictable job with motivated and skilled colleagues. We have a diverse mix of experience and skills, working closely together to make Vestas’ vision a reality. You will experience a ‘people first’ attitude with a lot of empowerment and responsibility.

In short, join Vestas and you will find yourself working in a spirit of worldwide collaboration while enjoying the knowledge that you are making a positive difference for the future.

Main KPI’s:

  • Develop and deliver world class data driven statistical models for Reliability


  • Chennai