Engineering Manager - AI / Data Science
Warsaw MZ PL 7All locationsWarsaw MZ PL 7Wilmington NC USAAtlanta On-site
$131,700 a yearJobFig found this opening at its original source and checks that it remains available.
About the role
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. The successful candidate will be an effective 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.
What you'll bring
- Bachelor’s degree in engineering, Computer Science, or Data Science.
- At least 10 years of relevant experience in technical engineering or digital environments.
- At least 5 years of experience in a leadership role with a track record of driving large-scale organizational transformation.
- 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.
- 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, Six Sigma, 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.