Job Description Summary

The Lead Wind Fleet Performance Engineer is the senior technical authority for blade condition assessment, disposition, and repair prioritization across the global fleet. This role resolves complex escalated blade issues, owns disposition standards, and partners across engineering, analytics, vendors, and field services to reduce overdue inspections/repairs and industrialize blade data and case management. The engineer also mentors junior engineers and represents blade engineering in technology roadmap efforts.

Job Description

Essential Responsibilities

• Serve as senior escalation point for complex blade issues, providing final engineering recommendations on repairs and corrective actions
• Lead trend analysis of site inspection reports to identify systemic fleet-wide failure patterns
• Own and evolve standard disposition requirements, defect vocabulary, and the controlled disposition repository
• Drive reduction of overdue inspections and repairs through process and prioritization improvements
• Support transition of disposition logic into internal tools and continuously improve the processes we follow for blade dispositions.
• Simplify case management workflows and support single-owner, work-order-driven case handling
• Mentor early/mid-career engineers on technical methods and quality standards
• Deliver timely technical guidance to field technicians, internal teams, and customers to support site performance

 

Qualifications/Requirements

• Bachelor's Degree in Engineering from an accredited college or university
• 10+ years of experience in wind turbine field services and engineering, with demonstrated technical leadership on blade issues

 

Desired Characteristics

• Deep wind turbine blade experience, including composite materials and repair methods
• Experience setting technical standards or governing inspection/disposition processes across vendors
• Ability to translate fleet-wide trends into process or analytics improvements
• Strong communication skills and ability to influence cross-functional and vendor partners
• Comfort partnering with analytics/data science teams on model performance
• Experience mentoring engineers or technicians; strong team player in multicultural settings

Additional Information