Job Description Summary

Lead the MYA life extension pipeline from idea to launch, delivering significant annual backlog cost reduction for the MYA/Services business. Beyond core systems engineering, this role will champion the Engineer 2030 mission by integrating AI and automation into risk modeling and lifecycle management to drive faster, data-driven productivity decisions. The role involves high-level collaboration across NPI, Module Engineering, Reliability, and Repair to ensure our engineering processes are scalable, automated, and future-ready.

Job Description

Roles and Responsibilities

• Apply mechanical design fundamentals, statistics, and failure-mode analysis to objectively evaluate risk vs. reward.
• Innovate Processes: Leverage AI-driven tools and automation to optimize MYA data quality and streamline risk evaluation workflows.
• Lead cross-functional reviews with the Chief Engineering Office, utilizing digital modeling tools to present clear, data-backed productivity cases.
• Collaborate with engineering teams to manage creep programs and influence the transition toward "Systems-as-a-Service" digital maintenance models.
• Foster a culture of continuous improvement, ensuring all technical documentation and risk assessments align with the digital-first standards of Engineer 2030.

Required Qualifications

For roles outside USA:

• Academic Background: Bachelor’s or Master’s degree in Engineering (Mechanical, Aerospace, or Systems Engineering preferred).
• Proven hands-on experience in gas turbine design, operation, or repair processes.

For roles in USA:

• Academic Background: Bachelor’s or Master’s degree in Engineering (Mechanical, Aerospace, or Systems Engineering preferred).
• Domain Expertise: Minimum of 3 years of hands-on experience in gas turbine design, operation, or repair processes.

Desired Characteristics

• Systems Engineering Leadership: Proven track record of leading cross-functional engineering programs from concept to implementation, involving stakeholders from distinct engineering disciplines (e.g., NPI, Reliability, Repair).
• Digital Proficiency: Demonstrated experience executing projects utilizing data analytics, automation scripting (e.g., Python, SQL), or AI/ML-driven modeling to improve engineering workflow efficiency or risk evaluation.
• Business Impact: Demonstrated ability to influence technical outcomes; must have presented data-backed technical business cases to leadership that resulted in documented process improvements or cost-reduction initiatives.
• Professional Standards: Proven history of meeting aggressive project timelines while maintaining high quality standards.

• Familiarity with lifecycle management and operation/maintenance of heavy-duty gas turbine equipment.
• Experience applying Systems Engineering methodologies to large-scale, multidisciplinary projects.
• Experience in applying digital tools (e.g., Python, advanced statistical software, or predictive maintenance platforms) to solve engineering challenges.
• Excellent interpersonal and leadership skills, with a track record of mentoring others in new technologies.

Note:

To comply with US immigration and other legal requirements, it is necessary to specify the minimum number of years' experience required for any role based within the USA. For roles outside of the USA, to ensure compliance with applicable legislation, the JDs should focus on the substantive level of experience required for the role and a minimum number of years should NOT be used.

This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. ​

Additional Information

 

 

For candidates applying to a U.S. based position, the pay range for this position is between $89,300.00 and $148,700.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set.

 

 

Bonus eligibility: discretionary annual bonus.

 

 

This posting is expected to remain open for at least seven days after it was posted on September 04, 2026.

 

 

Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the 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. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off.

 

 

GE Vernova Inc. or its affiliates (collectively or individually, “GE Vernova”) sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.