New Technology Introduction Leader
GE Vernova · Greenville · $81,700–$136,700 (stated in the posting)
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