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# Technical Leader - Analytics Cloud Platform (ACP)

- **Company:** GE Vernova
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $113,200.0 - $188,800.0
- **Contract:** Permanent contract
- **Skills:** Adobe InDesign, Artificial Intelligence, Data Analysis, Data Sharing, Cloud Platform System, Data Analytics
- **Published:** August 22, 2026
- **Apply:** https://www.adzuna.com/details/5850787058

## About the Role

* Bachelor's degree in Engineering or a related STEM field
 * 10+ years of engineering experience in Design or Customer Service
 * Strong subject matter expertise in areas such as root cause analysis, translating data-driven insights into customer action, fleet risk assessment, design validation, or maintenance/parts planning
 * Demonstrated ability to connect analytics to real business and engineering decisions
 * Strong technical judgment, systems thinking, and problem-solving skills
 * Strong communication skills, with the ability to work effectively across engineering, service, and analytics teams, * Advanced degree in Engineering or related field
 * Experience in power generation, fleet reliability, or diagnostics
 * Familiarity with AI/ML-enabled analytics and their practical application in engineering
 * Experience applying Lean thinking and managing technical capabilities across their lifecycle

## Description

The Analytics Cloud Platform (ACP) Technical Leader drives business value from engineering analytics by connecting deep domain expertise with data-driven insight. ACP brings together engineering and service experts to conduct collaborative root cause analysis, identify precursors to failure, assess fleet-wide risk, and validate design assumptions. This role is responsible for guiding analytics toward the highest-value use cases - helping teams prevent outages, improve reliability, and make smarter service, design, and parts decisions., * Guide the technical direction of ACP, ensuring analytics are focused on the most important engineering and service priorities

 * Serve as a connective link between engineering and service teams and the analytics function, helping ensure analytics reflect real risk concerns and operational needs
 * Guide the team to translate business and engineering problems into clear, high-value analytics use cases
 * Enable collaborative, cross-domain root cause analysis by connecting engineering and service experts around shared data
 * Apply Lean principles to simplify work, reduce rework, and improve execution
 * Provide lifecycle leadership for analytics capabilities - from prioritization and development through adoption, continuous improvement, and retirement
 * Identify and escalate risk early, and drive consistent, high-quality technical execution
 * Mentor and develop engineers, strengthening both technical depth and business understanding across the team


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