**Job Description Summary**

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.

Job Description

Responsibilities

• 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.

Required:

• 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.

GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).

Relocation Assistance Provided: Yes

For candidates applying to a U.S. based position, the pay range for this position is between $152,400.00 and $254,000.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be i…