Job Description Summary
The Senior Engineer, Blades Fleet Engineering, will lead proactive fleet performance management for the GE Vernova Wind Blade fleet. You will be responsible for driving sustained product improvement throughout our global fleet, shifting from reactive troubleshooting to a proactive, data-led reliability model. You will develop and implement quality initiatives and drive closed-loop lessons learned across the product lifecycle.
Job Description
Essential Responsibilities
• Predictive Analytics Integration: Leverage fleet-wide data across manufacturing, projects, and services platforms alongside AI-driven diagnostic tools to identify early-stage blade degradation, enabling proactive maintenance.
• Data-Driven RCA Methodology: Utilize machine learning algorithms to process large-scale historical failure data, accelerating root cause identification and validating the efficacy of corrective actions through statistical modeling.
• Automated Quality Reporting: Implement and maintain automated data visualization dashboards to monitor Blade fleet quality KPIs,
ensuring real-time visibility into emerging trends for leadership and stakeholders.
- Blade Master file: Create and maintain Blade master file database for all GE Vernova Wind blades integrating existing database from Production, Installation and Service
• Proactive Fleet Management: Collaborate with blade fleet performance teams to identify and address emerging technical issues before they impact fleet availability.
• Data Infrastructure Ownership: Drive continuous improvements in fleet data quality, data completeness, and the underlying infrastructure supporting our analytics.
• Problem-Solving Leadership: Facilitate RCA Kaizens to achieve faster, more robust resolutions. Own and support action items derived from Quality PSR countermeasures.
• Process Implementation: Drive the application of structured problem-solving tools and methods throughout the entire RCA process.
• Cross-Functional Pa