Nuclear AI Transformation Leader | Data Science & Eng

GE Vernova, Inc.; Town of Niskayuna (NY); On-site; USD 132,000 - 219,000; Full time

Benefits offered by this job

Medical, dental, vision coverage

Prescription drug coverage

Health Coach access

Employee Assistance Program

401(k) with company matching

Tuition assistance

Adoption assistance

Paid parental leave

Disability benefits

Life insurance

12 paid holidays

Permissive time off

Job summary

GE Vernova, Inc. is seeking a Transformation Leader in New York to champion AI and Data Science within its Nuclear Engineering group. You will drive adoption, lead a high-impact team, and steer initiatives to meet Engineer 2030 productivity and $800M EBITDA growth goals while ensuring regulatory compliance.

This leadership role emphasizes collaboration, Lean + AI methods, and strategic governance to transform engineering processes and deliver tangible business results.

Qualifications

• Master's degree in Engineering, Computer Science, AI/ML, Mathematics or related field.
• Or HS diploma with 8+ years related experience.
• Proven ability to lead large transformation programs.

Responsibilities

• Evangelize AI and Data Science across the organization to drive adoption.
• Architect and implement AI strategies to support EBITDA growth goals.
• Lead transformation to double engineering productivity via automation and AI.
• Ensure regulatory compliance and alignment with technology strategy.
• Own KPIs for AI initiatives and drive measurable business impact.

Skills

Collaborative leadership

AI & Data Science expertise

Financial acumen

Executive presence

Lean + AI mastery

Lean, Six Sigma & Agile

People leadership

Change agent / in-your-face leadership

Education

Master's degree in Engineering/CS/AI

8+ years experience with HS diploma

Tools

Lean

Six Sigma

Agile

Job description

GE Vernova, Inc. is seeking a Transformation Leader in New York to champion AI and Data Science within its Nuclear Engineering group. You will drive adoption, lead a high-impact team, and steer initiatives to meet Engineer 2030 productivity and $800M EBITDA growth goals while ensuring regulatory compliance.

This leadership role emphasizes collaboration, Lean + AI methods, and strategic governance to transform engineering processes and deliver tangible business results.