Nuclear Engineering Lead – AI, Data Science

GE Vernova

. Champion Artificial Intelligence and Data Science adoption across the organization .

Posted 9/29/2026full-timeUnited StatesSenior💰 $131,700 - $219,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in Artificial Intelligence and Data Science, with a strong focus on driving business impact through strategic initiatives and continuous improvement methodologies. Proven ability to lead high-performing teams, ensuring alignment with regulatory standards and achieving organizational goals.

Highest-signal resume keywords

Artificial IntelligenceData ScienceLean Six SigmaBusiness AnalysisPeople Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine LearningData AnalysisEngineering PhysicsOptimizationContinuous Improvement

Soft Skills

Effective CommunicationTeam BuildingProblem SolvingInfluenceCoaching

Tools & Technologies

Digital Engineering ToolsAgile PracticesAI-Driven Strategies

Industry Keywords

EBITDA GrowthRegulatory ComplianceNuclear EnterpriseGE Vernova WayU.S. Export-Controlled Information

About the role

Key responsibilities & impact

Champion Artificial Intelligence and Data Science adoption across the organization
Generate enthusiasm for new AI and Data Science capabilities
Architect and implement AI-driven strategies targeting the $800M EBITDA growth goal by 2028
Lead the Engineer 2030 transformation to double engineering productivity from $2M to $4M per engineer per year
Lead a high-performing team developing and implementing AI-enabled capabilities across the nuclear enterprise
Collaborate with the Digital Engineering senior manager and team on regulatory compliance and alignment with the Engineering Digital Tools Strategy and roadmap
Challenge the status quo and identify waste using Lean and AI thinking
Drive integration of tools and data across the business
Partner with Digital Technology and Advanced Research to evolve the ML/AI strategy
Ensure initiatives improve Safety, Quality, Delivery, and Cost
Create standard work meeting nuclear business regulatory and security requirements
Apply Plan, Do, Check, Act thinking to improve standard work and drive continuous improvement
Own technical requirements and key performance indicators for AI initiatives
Enable timely problem solving, delivery of agreed outcomes, and measurable business impact

Requirements

What you’ll need

Master's degree from an accredited university or college in Engineering, Computer Science, AI/ML, Mathematics, or related field, or a high school diploma/GED with at least 8 years of experience in a related field
Comprehensive knowledge of Artificial Intelligence and Data Science, including their interaction with engineering physics and optimization
Strong business and financial analysis skills linking technical milestones to EBITDA and P&L impact
Effective oral and written communication skills with executive presence and influence
Experience applying Lean, Six Sigma, and Agile practices
Experience with Lean, Agile, and continuous improvement practices
Demonstrated people leadership experience, including hiring, performance management, coaching, and talent development
Strong team-building and problem-solving abilities
Ability to drive alignment across engineering, product, digital, and research partners
Ability to challenge the status quo, improve processes, and drive early adoption of new capabilities
Relevant examples demonstrating GE Vernova Way principles
Ability to obtain authorization for access to U.S. export-controlled information, if applicable
Legally authorized to work in the United States
Successful completion of a drug screen, as applicable

Benefits

Comp & perks

Discretionary annual bonus
Medical coverage
Dental coverage
Vision coverage
Prescription drug coverage
Health Coach access
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
Relocation assistance