Nuclear Engineering AI & Data Science Leader

GE Vernova

Wilmington, NC

Full Time

Posted September 29, 2026

$48k - $67k· Est.

Power Generation

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Listing evidence and provenance

Source: workday View original listing
Freshness: Open in the current public read path; this is not an employer guarantee.Last observed September 30, 2026
Classification: Modern power-system classification not yet published for this listing.Legacy source industry field: Power Generation
Pay provenance: Estimated benchmark; not employer-provided

Job Description

This is a high-visibility leadership role within the Nuclear Engineering organization.

Key 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.