Job Description Summary

The Senior Engineer, Blades Fleet Monitoring, will serve as a technical lead for the GE Vernova Wind Blade fleet. This role is pivotal in evolving our monitoring operations from reactive troubleshooting to a proactive, standardized, and data-led reliability model. The successful candidate will partner with the team to enhance our technical infrastructure, develop advanced predictive models, and implement scalable processes that allow our operations to grow in complexity and efficiency.

Job Description

Essential Responsiblities

•  Operational Standardization: Lead the development and implementation of standardized technical rules and monitoring protocols. Transition from fragmented workflows to a unified, documented technical operating system that ensures consistency across the fleet.

•  Predictive Analytics Integration: Leverage fleet-wide data and AI-driven diagnostic tools to identify early-stage blade degradation. Design and deploy predictive models to support proactive maintenance and fleet reliability.

•  Continuous Improvement Leadership: Champion a culture of continuous improvement by identifying process bottlenecks and scoping high-impact technical projects. Guide the team in adopting data-driven decision-making to optimize daily operations.

•  Technical Infrastructure Ownership: Evaluate and enhance the tools and data systems supporting the fleet. Drive continuous improvements in data quality, completeness, and the underlying infrastructure to support more robust, automated fleet analysis.

•  Mentorship & Knowledge Sharing: Provide technical insights and guidance to the team, helping to bridge individual experience levels through the creation of formalized technical playbooks and best practices.

•  Cross-Functional Partnership: Collaborate seamlessly with fleet performance, manufacturing, projects, and digital technology teams to ensure a unified approach to fleet reliability and to drive closed-loop lessons learned across the product lifecycle.

•  Technical Proficiency: Strong expertise in data analysis and visualization tools (e.g., SQL, Python, R, MATLAB, PowerBI, or Tableau). Experience interpreting large, complex datasets for technical decision-making is essential.

•  Process Excellence: Demonstrated ability to develop and maintain technical procedures, training documentation, and quality systems. Experience in Lean methodologies or Kaizen facilitation is highly preferred.

•  Operational Insight: Strong foundation in statistical quality control (SQC) and reliability engineering metrics (e.g., Weibull analysis, reliability growth modeling).

•  Leadership & Communication: Ability to influence cross-functional stakeholders and mentor team members in technical disciplines. Exceptional communication skills are required to translate complex analytical outcomes into actionable fleet strategies.

•  Collaborative Mindset: Proven ability to work effectively in a globally focused, culturally diverse, and matrixed organizational environment.

•  Travel: Ability to travel globally approximately 10% of the time.

Qualifications

•  Education: Bachelor’s degree in Engineering (STEM-based) from an accredited university or college.

•  Experience: 10+ years of professional experience in wind turbine fleet monitoring, blade engineering, fleet management, or reliability engineering.

Additional Information