Job Description SummaryThis is a high-visibility leadership role within the Nuclear Engineering organization. We are seeking a Transformation Leader to serve as the champion for Artificial Intelligence and Data Science.
The successful candidate will be a strong communicator and change agent responsible for generating organization-wide enthusiasm and driving the technical evolution required to meet the Engineer 2030 productivity goals and financial targets. You will lead a team to integrate AI and Data Science into the core of our nuclear engineering processes to drive engineering productivity and transform the way we work.
Job DescriptionRoles and Responsibilities
- Champion the AI Revolution: Act as the primary evangelist for AI and Data Science, generating and sustaining enthusiasm across all levels of the organization to ensure rapid adoption of new capabilities.
- Drive Financial Impact: Architect and implement AI-driven strategies specifically designed to capture the $800M EBITDA growth goal by 2028.
- Execute "Engineer 2030": Lead the transformation effort to double engineering productivity, moving from $2M to $4M per engineer/year through aggressive automation, AI as a Knowledge Partner, and Virtual Validation engines.
- Lead a high-performing team to architect, nurture, and implement AI-enabled capabilities across the nuclear enterprise. Work closely with the Digital Engineering senior manager and team to ensure regulatory compliance and alignment with the Engineering Digital Tools Strategy and roadmap.
- Transformation Leadership: Serve as a proactive "in the face" leader who challenges the status quo, identifies waste using Lean + AI thinking, and drives the integration of tools and data across the business.
- Strategy & Prioritization: Partner closely with Digital Technology and Advanced Research to evolve the ML/AI strategy, ensuring it improves Safety, Quality, Delivery, and Cost—in that order.
- Governance & Compliance: Create standard work aligned with internal stakeholders to ensure all AI initiatives meet the rigorous regulatory and security requirements of the nuclear business.
- Apply Lean + AI thinking, with a Plan, Do, Check, Act mindset, to identify waste, improve standard work, and drive continuous improvement across engineering processes, transformation efforts, and kaizen activities.
- Own technical requirements and key performance indicators for AI initiatives to enable timely problem solving, delivery of agreed outcomes, and measurable business impact.
Required Qualifications
- 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 related field.)
Desired Characteristics
- Collaborative Leadership Style: Proven ability to act as a change agent who is comfortable being "in the face" of the organization to drive high-stakes results.
- Dual Expertise: Comprehensive knowledge of both Artificial Intelligence and Data Science, specifically how they interact with engineering physics and optimization.
- Financial Acumen: Strong business and financial analysis skills with the ability to link technical milestones to EBITDA and P&L impact.
- Executive Presence and Influence: Effective oral and written communication skills with the "presence" to influence senior leadership and energize the broader engineering workforce.
- Lean + AI Mastery: Experience applying Lean, Six Sigma, and Agile practices to eliminate waste and accelerate design/validation cycles.
- Experience with Lean, Agile, and continuous improvement practices, including the ability to apply Lean + AI thinking to standard work, waste elimination, and transformation efforts.
- Demonstrated people leadership experience, including hiring, performance management, coaching, and talent development. Strong team-building and problem-solving abilities with a track record of driving alignment across engineering, product, digital, and research partners.
- Ability to challenge the status quo, improve processes, and drive early adoption of new capabilities and ways of working.
- Relevant examples of demonstrating the GE Vernova Way principles.
This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government.
For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.
Bonus eligibility: discretionary annual bonus.
This posting is expected to remain open for at least seven days after it was posted on September 29, 2026.
Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.
GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
