Sr. Engineering Manager, Artificial Intelligence

GE Vernova•Greenville, NC

4d•Onsite

About The Position

This is a senior leadership role within the System Technologies and Adaptive Intelligence (STAI) team in Gas Power Engineering (GPE). STAI’s vision is to bring together engineering, data, and artificial intelligence to drive cleaner, more flexible power solutions and to enable new capabilities, new operating models, and new ways of creating value across GPE. We are seeking a strategic and collaborative leader to guide our AI journey, help shape priorities, and drive meaningful impact across the organization. The person in the Sr. Engineering Manager, Artificial Intelligence role will provide leadership for GPE’s AI direction and execution across the engineering enterprise, working closely with Customer Service & Engineering ITRs, System Design & Technology teams, Product Management, Digital Technology, and GE Vernova Advanced Research. Through this role, we will strengthen our understanding of physics and optimization, elevate design and validation capability, improve the quality and productivity of our technical teams and ITRs, and advance the integration of tools, processes, and data across the business.

Requirements

Bachelor’s degree in engineering or computer science.
At least 10 years of relevant experience.
At least 5 years of experience in a leadership role within engineering, digital technology or other technical environment.

Nice To Haves

Comprehensive knowledge of Gas Power products, processes, tools, and competitiveness.
Proven experience with emerging informational and design technology, including the ability to identify opportunities, build roadmaps, and drive adoption across a complex engineering organization.
Strong learning agility and the ability to take on new and often ambiguous challenges, translate them into clear business impact, and help teams execute with confidence.
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.
Effective oral and written communication skills, with the presence to influence across all levels of the organization.
Experience working in a global environment and the ability to operate effectively across functions, regions, and cultures.
Demonstrated ability to serve as a change agent in a complex, diverse, and dynamic cross-functional environment.
Strong technical, business, and financial analysis skills.
Familiarity with AI for Design concepts, including AI as Knowledge Partner, AI as Design Accelerator, and AI as Virtual Validation Engine.
Awareness of responsible AI, including the importance of secure use, governance, reliability, traceability, and bias awareness.
Relevant examples of demonstrating the GE Vernova Way principles.

Responsibilities

Understand business needs and state-of-the-art machine learning and artificial intelligence capabilities to improve Safety, Quality, Delivery, and Cost — in that order — across GPE’s engineering and product landscape.
Work with Gas Power Engineering, Gas Power Product Management, Gas Power Digital Technology, and GE Vernova Advanced Research to advance and evolve GPE’s ML/AI strategy and implement it across the engineering teams in a prioritized manner.
Translate GPE-level priorities into team-level action through a disciplined, collaborative deployment model that enables teams to adopt and execute AI capabilities across the organization.
Unlock both design capability and efficiencies in how we work across Customer Service & Engineering ITRs, System Design & Technology teams, and related workflows, while identifying new opportunities and spaces in this evolving field.
Lead and align key GPE AI scope areas, including APOW, Lean + AI, AI for Design, and IP Risk & Security / Responsible AI, ensuring they are executed in a coordinated way that improves engineering productivity, strengthens design and validation capability, and embeds responsible, secure, and reliable use of AI.
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.
Create processes and standard work aligned with the GE Vernova AI Foundry related to compliance and regulations.
Lead and develop a team of engineers and data scientists to architect, nurture, and implement AI-enabled capabilities and supporting technologies across GPE.
Support the broader GPE transformation portfolio, including the “Big Swings” across the organization.

Benefits

medical, dental, vision, and prescription drug coverage
access to Health Coach from GE Vernova, a 24/7 nurse-based resource
access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services
GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants
tuition assistance
adoption assistance
paid parental leave
disability benefits
life insurance
12 paid holidays
permissive time off