Analytics Foundry Leader

GE Vernova

. Direct a team of 20+ data scientists and engineers across the full lifecycle of digital products, from prototype to production at scale .

Posted 11/6/2026full-timeUnited StatesSenior💰 $155,300 - $258,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading multi-disciplinary technical teams and driving AI/ML model deployment at enterprise scale, while ensuring data integrity and cybersecurity. Capable of translating technical challenges into strategic priorities and fostering a culture of Lean practices and data-driven decision-making.

Highest-signal resume keywords

AI/ML Model DeploymentTechnical LeadershipData Pipeline DevelopmentIndustrial IoT ExpertiseLean Practices

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Applicant Tracking System Keywords

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Hard Skills

Data ScienceMachine LearningPredictive MaintenanceData AnalyticsStatistical ModelingData EngineeringCybersecurity StandardsDiagnostic ToolingTechnical Roadmap DevelopmentModel Validation

Soft Skills

Servant LeadershipCross-Functional InfluenceTeam BuildingStrategic CommunicationCuriosity

Certifications & Qualifications

Bachelor's Degree in Computer ScienceMaster's Degree in Data SciencePhD in Quantitative Discipline

Industry Keywords

Gas Power FleetDigital WorkflowEngineering StandardsCommercial ValueUnplanned Downtime

Tech Stack

Tools & technologies

Cyber SecurityIoT

About the role

Key responsibilities & impact

Direct a team of 20+ data scientists and engineers across the full lifecycle of digital products, from 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 for AI/ML capabilities, data pipelines, and diagnostics under the Reliability → Analytics → Diagnostics → Closure operating model
Govern model quality, health, and efficacy by minimizing false positives and raising signal-to-noise
Build, mentor, and retain a world-class team while cultivating technical rigor, curiosity, and rapid experimentation
Consolidate and modernize diagnostic tooling 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 to reduce cycle time from model development through deployment
Own the data intelligence engine for the Gas Power fleet from prototype to production at scale
Standardize how advanced AI/ML models are developed, validated, and deployed
Deliver Fleet Analytics supporting new product introductions and root cause analyses
Translate raw engineering data into commercial value for customers

Requirements

What you’ll need

Bachelor's degree in Computer Science, Data Science, Engineering, Applied Mathematics, Physics, or a related technical field from an accredited university
Minimum 10 years of progressive technical leadership across multiple engineering or technology disciplines
Minimum 5 years leading high-performing, multi-disciplinary technical teams, including leaders of other people
Demonstrated track record of taking AI/ML models from R&D/prototype environments to enterprise-scale deployment within a complex industrial or services environment
Legally authorized to work in the United States
Advanced degree (MS/PhD) in a quantitative discipline such as Data Science, AI/ML, or Operations Research is desired
Experience leading large multi-disciplinary technical organizations of 20+ professionals is desired
Deep expertise in industrial IoT, predictive maintenance, or power generation services is desired
Product mindset applied to analytics is desired
Ability to translate abstract technical challenges into clear strategic priorities for non-technical leadership is desired
Ability to influence cross-functional peers in Engineering and Services to adopt new digital workflows is desired
Lean practices and rigorous process discipline are desired
Servant leadership mindset is desired
Data-driven decision-making and decisiveness despite ambiguity are desired
One Team mentality and ability to lead horizontally are desired

Benefits

Comp & perks

Competitive compensation
Discretionary annual bonus
Medical, dental, vision, and prescription drug coverage
Health Coach from GE Vernova, a 24/7 nurse-based resource
Employee Assistance Program with 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan
Tax-advantaged 401(k) savings opportunity with company matching contributions
Company retirement contributions
Fidelity resources and financial planning consultants
Tuition assistance
Adoption assistance
Paid parental leave
Disability benefits
Life insurance
12 paid holidays
Permissive time off
Professional development
Relocation assistance not provided