AI Strategy Program Manager enhancing AI capabilities in engineering design at GE Vernova. Leading strategic planning and implementation of AI initiatives within cross-functional teams.
Responsibilities
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.
Oversee execution across cross-functional teams comprising data scientists, software engineers, architects, responsible AI analysts, and quality assurance.
Monitor and report on project progress, addressing any issues or deviations proactively.
Stay abreast of the latest advancements in AI technologies and methodologies and their application to Engineering Design.
Requirements
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).
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.
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.
Excellent communication and interpersonal abilities, adept at engaging with both technical and non-technical audiences.
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