Senior Engineer – Blades Fleet Engineering

GE Vernova

. Lead development and implementation of standardized technical rules and monitoring protocols across the GE Vernova Wind Blade fleet .

Posted 10/26/2026full-timeBengaluru • IndiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in wind turbine fleet monitoring and blade engineering, leveraging data analysis and visualization tools to drive decision-making and optimize fleet reliability. Proficient in developing technical procedures and fostering collaboration across diverse teams to enhance operational efficiency.

Highest-signal resume keywords

Wind Turbine Fleet MonitoringData Analysis and VisualizationReliability Engineering MetricsLean MethodologiesTechnical Documentation Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisStatistical Quality ControlPredictive ModelingTechnical Procedure DevelopmentWeibull AnalysisReliability Growth Modeling

Soft Skills

Exceptional CommunicationMentoringCross-Functional Collaboration

Tools & Technologies

SQLPythonRMATLABPowerBITableau

Industry Keywords

Blade EngineeringFleet ManagementProactive MaintenanceData-Driven Decision-MakingKaizen Facilitation

Tech Stack

Tools & technologies

PythonSQLTableau

About the role

Key responsibilities & impact

Lead development and implementation of standardized technical rules and monitoring protocols across the GE Vernova Wind Blade fleet
Transition fragmented workflows to a unified, documented technical operating system
Leverage fleet-wide data and AI-driven diagnostic tools to identify early-stage blade degradation
Design and deploy predictive models supporting proactive maintenance and fleet reliability
Identify process bottlenecks and scope high-impact technical projects
Guide data-driven decision-making to optimize daily operations
Evaluate and enhance tools and data systems supporting the fleet
Improve data quality, completeness, and infrastructure for robust, automated fleet analysis
Provide technical insights and guidance to team members
Create formalized technical playbooks and best practices
Collaborate with fleet performance, manufacturing, projects, and digital technology teams
Drive closed-loop lessons learned across the product lifecycle

Requirements

What you’ll need

Bachelor’s degree in Engineering (STEM-based) from an accredited university or college
10+ years of professional experience in wind turbine fleet monitoring, blade engineering, fleet management, or reliability engineering
Strong expertise in data analysis and visualization tools, such as SQL, Python, R, MATLAB, PowerBI, or Tableau
Experience interpreting large, complex datasets for technical decision-making
Ability to develop and maintain technical procedures, training documentation, and quality systems
Experience in Lean methodologies or Kaizen facilitation highly preferred
Strong foundation in statistical quality control (SQC) and reliability engineering metrics, such as Weibull analysis and reliability growth modeling
Ability to influence cross-functional stakeholders and mentor team members in technical disciplines
Exceptional communication skills to translate complex analytical outcomes into actionable fleet strategies
Proven ability to work effectively in a globally focused, culturally diverse, and matrixed organizational environment
Ability to travel globally approximately 10% of the time

Benefits

Comp & perks

Relocation assistance not provided
Approximately 10% global travel