New Technology Introduction Leader

GE Vernova, Inc.; Greenville (SC); On-site; USD 82,000 - 137,000; Full time

Benefits offered by this job

Medical, dental, vision

Health Coach

401(k) with company matching

Tuition assistance

Paid holidays

Job summary

GE Vernova, Inc. seeks a hands-on Digital Solutions Specialist to scout, build, and prove AI-enabled improvements for frontline teams in Global Supply Chain.

Translate operational pain points into pilot-ready digital tools using no-code platforms, partnering with Global Process Digital Authorities and Digital Technology teams to ensure scalable, repeatable implementations. You will work on problem intake, solution incubation, and handoff, documenting the approach, data needs, and pilot outcomes,

Qualifications

• Bachelor's degree in Engineering, Supply Chain, Computer Science, or related technical field.
• Hands-on experience through internships, co-ops, or project work in supply chain, manufacturing, quality, or materials in an industrial environment.
• Foundational understanding of how digital systems and manufacturing operations connect, including data movement from machines to business systems.
• Hands-on experience with digital tools, data analysis, or process improvement.
• Working knowledge of AI tools and no-code/low-code platforms; able to build and test digital solutions without production-level code.
• Willingness to spend time on the floor and earn trust through curiosity and the quality of what is built.

Responsibilities

• Engage frontline teams to surface and document real operational pain points.
• Validate problem statements and functional requirements with Digital Authorities before building.
• Build and iterate on AI agents, automated workflows, and digital tools using no-code/low-code platforms.
• Move quickly from problem to prototype and document the solution thoroughly.
• Support evaluation of third-party AI solutions addressing frontline problems.

Skills

Data analysis

No-code/low-code tools

AI tools familiarity

On-floor problem solving

Education

Bachelor's degree in Engineering, Supply Chain, Computer Science, or related technical field

Tools

SAP

Oracle

Manufacturing Execution Systems

Job description

Job Description Summary

Scout, build, and prove digital and AI solutions that simplify the work of frontline teams across Gas Power Global Supply Chain. This role combines functional knowledge in supply chain, manufacturing, materials, or quality with hands‑on capability to identify real problems at the floor level, prototype solutions using AI and no‑code digital tools, and run structured pilots with real users. Partners closely with Global Process Digital Authorities for problem identification and functional requirements, and with Digital Technology teams to ensure solutions are scalable and can be incorporated into the organization’s global digital catalog.

Job Description

Key Responsibilities

Problem Intake and Opportunity Identification

• Engage directly with frontline teams including planners, operators, quality engineers, buyers, and production control leaders to surface and document real operational pain points. Every solution starts with a validated problem, not a technology.
• Work with Global Process Digital Authorities and subject matter experts, with guidance from Senior New Technology Introduction Leaders, to validate problem statements, confirm functional requirements, and ensure that a digital or AI solution is the right answer before building begins.

Solution Building and Incubation

• Build and iterate on AI agents, automated workflows, and digital tools using no‑code and low‑code platforms, in close partnership with Digital Technology and AI teams. Build with scalability in mind, learning the standards that allow solutions to be deployed across sites.
• Move from problem to working prototype quickly. Experiment freely, learn from what does not work, and treat a failed prototype as progress toward the right solution. Speed of experimentation is as important as quality of output.
• Document every solution thoroughly: what it does, why it is designed the way it is, and how it connects to the broader data and process landscape. A solution that cannot be explained and handed off is not finished.
• Support the evaluation of third party AI solutions that address validated frontline problems.
• Build functional depth in one or more supply chain domains by supporting a Global Process Digital Authority's priorities.

Collaboration and Handoff

• Work closely with Global Process Digital Authorities throughout solution development to ensure tools reflect global process standards and integrate cleanly with existing systems and data flows. Partner with the Master Data Governance team to confirm data requirements and field mapping before any solution is tested with frontline users.
• Contribute to the handoff package when a solution is ready to scale: functional documentation, training materials, data requirements, and a summary of pilot outcomes.
• Support Digital Technology and AI teams as proven prototypes are formalized and incorporated into the organization’s global digital ecosystem, helping ensure they are supported, maintained, and available for deployment across all sites.

Required Qualifications

• Bachelor's degree in Engineering, Supply Chain, Computer Science, or a related technical field.
• Relevant hands‑on experience through internships, co‑ops, or project work in supply chain, manufacturing, quality, or materials in an industrial environment.
• Foundational understanding of how digital systems and manufacturing operations connect, including how data moves from machines and shop floor processes into the business systems that planners, engineers, and leaders rely on.
• Hands‑on experience with digital tools, data analysis, or process improvement, which can come from internships, capstone work, or personal projects.
• Working knowledge of AI tools and no‑code or low‑code platforms, shown through projects or coursework; comfortable building and testing digital solutions without writing production-level code.
• Willingness to spend time on the floor and learn from frontline teams, earning trust through curiosity and the quality of what is built rather than through organizational authority.

Desired Characteristics

• Personal or academic projects using AI tools, workflow automation, or data integration.
• Exposure to supply chain systems such as SAP, Oracle, or manufacturing execution systems, including through internships.
• Familiarity with industrial automation concepts such as machines, sensors, and controls, and curiosity about how their data can be put to work.
• Lean or continuous improvement mindset; applies the same discipline to digital solutions that lean applies to process improvement: identify the problem, prove the solution, then standardize.
• Energized by fast iteration and comfortable shipping imperfect first versions to real users. More interested in learning what works than in being right about what should work.
• Strong documentation habits; explains the reasoning behind design decisions, not just what was built.
• Comfortable with ambiguity and working in a team that operates with urgency inside a large global organization.

Additional Information

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: No

For candidates applying to a U.S. based position, the pay range for this position is between $81,700.00 and $136,700.00. 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 October 27, 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.