Apply

Ready to go for it?

AI Apply speeds things up—apply directly if you prefer.

FREE ACCESS
5,000–10,000 jobs/day
Scoutfield Logo

See all jobs on Scoutfield

Search thousands of fresh jobs every day.

Discover
  • Fresh listings
  • Fast filters
  • No subscription required
Create a free account and start exploring right away.
GE Vernova

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

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading multi-disciplinary technical teams and driving AI/ML model deployment at enterprise scale, while ensuring data integrity and cybersecurity standards. Capable of translating complex technical outputs into actionable business intelligence and strategic priorities.

Highest-signal resume keywords
AI/ML Model DeploymentTechnical LeadershipData-Driven Decision-MakingLean Process DisciplineIndustrial IoT Expertise

ATS Keywords

Tailor your resume
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills
Data ScienceEngineeringApplied MathematicsPredictive MaintenanceAdvanced AI/MLData PipelinesDiagnosticsModel ValidationDigital Product DevelopmentStatistical Analysis
Soft Skills
MentoringInfluencing Cross-Functional TeamsStrategic PrioritizationCommunicationTeam Building
Tools & Technologies
Diagnostic ToolingCybersecurity StandardsData Integrity StandardsFleet AnalyticsBusiness Intelligence Tools
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Data SciencePhD in Quantitative Discipline
Industry Keywords
Power Generation ServicesGas Power FleetUnplanned DowntimeService ValueDigital Workflow

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 priorities
  • Partner with M&D Insights Central to define implementation approaches
  • Define the technical roadmap for AI/ML capabilities, data pipelines, and diagnostics
  • Govern model quality, health, and efficacy while minimizing false positives and improving signal-to-noise
  • Build, mentor, and retain a world-class technical team
  • 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
  • Champion Lean across the digital workflow to reduce cycle time from model development through deployment
  • Deliver Fleet Analytics supporting new product introductions and root cause analyses
  • Translate engineering data into commercial value for Gas Power fleet customers
  • Standardize development, validation, and deployment of advanced AI/ML models for proactive reliability

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
  • Successful completion of a drug screen, as applicable
  • Advanced degree (MS/PhD) in a quantitative discipline such as Data Science, AI/ML, or Operations Research
  • Experience leading large multi-disciplinary technical organizations of 20+ professionals
  • Deep expertise in industrial IoT, predictive maintenance, or power generation services
  • Product mindset for analytics and business outcomes
  • Ability to translate technical challenges into strategic priorities for non-technical leadership
  • Ability to influence cross-functional peers in Engineering and Services
  • Lean process discipline
  • Data-driven decision-making

Benefits

Comp & perks
  • 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