Job Description Summary

This is an exciting new role within the System Technology and Adaptive Intelligence (STAI) team in Gas Power Engineering (GPE), whose organizational vision is to create “an artificial intelligence enhanced electric power and CO₂-focused innovation team that supports and incubates new ventures and ideas through diligent engineering to provide cleaner, more flexible power to the world.”
We are seeking a skilled and experienced Artificial Intelligence (AI) Strategy Program Manager with a strong Engineering Design background to join our Engineering AI Team. This strategic role involves leading the strategy and implementation of AI initiatives across the design teams of Gas Power Engineering. The manager will utilize expertise in both technology and business processes to develop and oversee a multi-generational AI program roadmap aligned with business priorities. Responsibilities include implementing the roadmap using LEAN principles to accelerate business value realization and ensuring customer success through continuous improvement of AI programs.
This position requires collaboration with senior leadership, engineering designers, data scientists, and digital teams to drive innovation and efficiency in achieving business outcomes using AI technology. It offers an opportunity to lead cross-functional teams in a dynamic environment, enhancing our enterprise AI capabilities in Gas Power Engineering

Job Description

Roles and Responsibilities

• Strategic Planning and Execution:

• Collaborate with functional engineering design experts and senior leaders within Gas Power to build the strategic vision, objectives, and multi-generational program roadmap for AI initiatives aligned with organizational strategic goals and Hoshin.
• Collaborate with designers and domain experts to identify opportunities for AI integration and innovation. Lead the discovery and qualification of AI use-case ideas and unify connected ideas within a value stream as part of building its AI roadmap.
• Lead the planning, prioritization, execution, and delivery of AI projects, ensuring timely completion and quality outcomes.
• Own technical requirements and key performance indicators (KPIs) for the ML/AI strategy for Engineering Design and implementation to ensure timely problem solving and delivery of agreed outcomes and objectives with a Lean Plan–Do–Check–Act mindset.

• Team Leadership, Collaboration, Influencing & Managing Stakeholder Expectations:

• Oversee execution across cross-functional teams comprising data scientists, software engineers, architects, responsible AI analysts, and quality assurance.
• Drive consensus and strong collaboration with business functional stakeholders (Gas Power Engineering, Gas Power Digital Technology, and GE Vernova Advanced Research), managing expectations and adjusting to evolving conditions.
• Foster a collaborative and inclusive team environment, promoting knowledge sharing and professional growth.
• Act as a liaison between technical teams and business function stakeholders, translating complex concepts/features into actionable user stories/specifications.

• Program Management:

• Implement best practices in program management, including resource allocation, risk management, scope changes, say-do-ratio, and quality management.
• Monitor and report on project progress, addressing any issues or deviations proactively.
• Coordinate execution across multiple projects, driving shared approaches and outcomes tracking.
• Support the execution team with resolution of roadblocks and interdependencies.
• Ensure compliance with relevant regulations and responsible AI standards in AI development and deployment.

• Innovation and Continuous Improvement:

• Stay abreast of the latest advancements in AI technologies and methodologies and their application to Engineering Design.
• Drive the adoption of innovative solutions to enhance the efficiency and effectiveness of AI programs.
• Evaluate and refine processes to optimize project outcomes and organizational value.

Education Qualification

For roles outside USA:

• Master’s/PhD degree in Mechanical Engineering (Aero, Thermal, Structures) from an accredited university or college. At least 8 years of total experience, including a minimum of 5 years in Engineering Design and a minimum of 3 years developing AI/Machine Learning (ML) solutions, including unsupervised learning, supervised learning, computer vision, and large language models (LLMs).

Desired Characteristics

• Proven experience in AI program management, with a track record of successful project delivery.
• In-depth understanding and hands-on experience with Engineering Design tools involving CAD, CFD/FEA, and process automation.
• Ability to translate insights from Test/Experimental data into effective AI driven solutions for Engineering Design.
• Proven experience in process change management and influencing stakeholders.
• Strong understanding of AI and data science, with specialized focus on Machine Learning, Computer Vision, and Generative AI.
• Good understanding of the Gas Power business and Engineering Design processes.
• Strong understanding and knowledge of various project and portfolio management methodologies.
• Strong project management skills with experience identifying non-value-added steps in the Engineering Design process.
• Experience in managing budgets including budget planning and spend.
• Strong leadership and influencing skills, capable of motivating and guiding diverse teams.
• Excellent communication and interpersonal abilities, adept at engaging with both technical and non-technical audiences.
• Strategic thinker with the ability to align AI initiatives with broader business objectives.
• Passion for innovation and continuous learning in the field of artificial intelligence.
• Self-starter, requires minimal direction to accomplish goals.
• Strong team player, collaborates well with others globally to solve problems and actively incorporates input from various sources.
• Demonstrated customer focus, evaluates decisions through the eyes of the customer and partners with customers to help shape future initiatives.
• Strong analytical and problem-solving skills, communicates in a clear and succinct manner; anticipates obstacles and develops plans to resolve them.
• Change-oriented, actively generates process improvements, champions and drives change initiatives and confronts difficult circumstances in creative ways.
• Relevant examples demonstrating the GE Vernova Way principles.

Additional Information Relocation Assistance Provided: Yes