Nuclear Engineering AI & Data Science Leader

This 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.

Roles 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…