Analytics Foundry Leader

Location: Atlanta

Job Description Summary

GE Vernova brings the energy of change to the world. The Gas Power fleet runs on the trust that our analytics are right.

The Analytics Foundry Leader scales a factory of insights that powers the Heavy-Duty Services Engineering organization and shifts the balance from responsive to proactive customer support. This leader runs a high-performing organization of specialized data scientists, machine learning engineers, and digital architects who turn massive, complex global fleet datasets into high-fidelity predictive analytics.

What impact you'll make

You will own the data intelligence engine for the Gas Power fleet — from prototype to production at scale. You will standardize how advanced AI/ML models are developed, validated, and deployed, enabling the Fleet Operational Intelligence organization to deliver proactive reliability globally. You will deliver Fleet Analytics that support new product introductions (NPIs) and root cause analyses (RCAs), and you will translate raw engineering data into commercial value — reduced unplanned downtime and higher service value for customers. Success demands deep technical expertise, a relentless focus on quality and value, and the ability to build and retain world-class data talent

Essential Responsibilities

• Direct a team of 20+ data scientists and engineers across the full lifecycle of digital products — prototype to production at scale.
• Partner with Applied Reliability and Product Service Engineering to define the "what," and with M&D Insights Central to define the "how."
• Define the technical roadmap — AI/ML capabilities, data pipelines, and diagnostics — unified under the Reliability → Analytics → Diagnostics → Closure operating model.
• Govern model quality, health, and efficacy — minimizing false positives and raising signal-to-noise so teams trust analytics as a primary engineering input.
• Build, mentor, and retain a world-class team, cultivating technical rigor, curiosity, and rapid experimentation at high quality.
• Consolidate and modernize diagnostic tooling, eliminating tool sprawl while meeting cybersecurity, data integrity, and engineering standards.
• Translate technical output into business intelligence that reduces unplanned downtime and raises service value for customers.
• Champion Lean across the digital workflow, reducing cycle time from model development through deployment.
• Additional Locations: Greenville