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# Engineering Capability Leader (AI, Lean & Quality)

- **Company:** GE Vernova
- **Location:** Atlanta, GA, United States
- **Experience:** Expert
- **Salary:** $152,400.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Decision Support Systems
- **Published:** July 10, 2026
- **Apply:** https://www.atlantacareerpath.com/job.asp?id=3323260266&tx=TT434TYI&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54

## About the Role

* Education: Bachelor's degree n a relevant discipline.
 * 8+ years of proven experience in engineering, lean, quality or similar fields
 * Demonstrated ability to lead cross-functional teams and manage organizational change in a complex environment.

Desired:

 * Strong background in Quality Control/Assurance and hands-on experience deploying AI/Data Analytics tools.
 * Servant Leadership: Demonstrates a commitment to removing obstacles for the team, prioritizing their growth, and fostering an environment of trust.
 * Developer of Talent: Actively invests in the professional development of the team; excels at identifying individual strengths, coaching for performance, and building a pipeline of future technical leaders.
 * Champion of Continuous Improvement: Possesses an inherent dissatisfaction with the status quo, constantly seeking innovative ways to improve safety, quality, and operational efficiency.
 * Data-Driven Decision Making: Relies on robust data analysis to set strategy and solve problems, yet maintains the agility to make sound progress even in situations of high ambiguity.
 * Change Agent: Ability to communicate complex technical concepts (AI/Lean) clearly and persuade stakeholders at all levels to embrace new methodologies.

## Description

The Engineering Capability Leader (AI, Lean & Quality) is accountable for the strategy and implementation of an advanced Quality Management system, Lean engineering principles, and AI-driven design and workflow tools into our technical processes. Directly leading a medium sized team and indirectly leading the Heavy-Duty New Unit organization, you will drive sustainable improvements across all Heavy-Duty New Unit teams by championing cultural and process initiatives that modernize our design methodology, improve execution velocity, and ensure "right-first-time" quality in our engineering deliverables., * Engineering Quality System Leadership: Establish and enforce the "Zero Defect Framework" quality standards for design deliverables. Lead the development of KPIs and TTIs that track design accuracy, re-work rates, and engineering cycle time.

 * AI for Engineering Optimization: Lead the adoption of AI and automation tools that improve engineering productivity, support rule-based quality checks, automate repetitive technical tasks, enhance knowledge reuse, and reduce cycle time and rework across engineering workflows.
 * Lean Design Workflows: Apply Lean principles to the engineering lifecycle. Identify and eliminate bottlenecks in the design and execution workflows, reducing waste in documentation, review cycles, and inter-departmental handoffs.
 * Cross-Functional Leadership: Drive tangible improvements in cultural and process initiatives across all Heavy-Duty New Unit teams. Serve as the primary advocate for modern, data-driven design and execution workflows.
 * Team Development & People Leadership: Mentor your team, ensuring they are not only technically proficient but also growth oriented. Foster an environment where the team feels empowered to challenge legacy design processes.
 * Navigating Complexity: Lead the Heavy-Duty Plant Engineering team in transitioning from traditional design-heavy processes to more agile, AI-enhanced execution models, ensuring project milestones remain on track despite the ambiguity of digital transformation.


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