Principal Program Manager, AI Strategy and Governance
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Technical Innovation Center in Mountain View, CA or Warren, MI three times per week, at minimum. This position can be located at either of these 2 locations.
We are looking a Principal Program Manager to lead the execution and scale of GM’s enterprise AI strategy, focusing on integrating advanced AI across critical software platforms and business domains.
In this highly cross-functional and strategic role, you will drive complex AI initiatives from concept through delivery, partnering with technical, business, and executive stakeholders to embed AI into GM's enterprise operations, customer platforms, and vehicle ecosystems. You will shape the roadmap, governance, and change management practices required to drive responsible, scalable, and high-impact AI transformation across the company.
What You’ll Do
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Own AI deliverables for the corporate roadmap
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Translate corporate strategy into actionable technical roadmaps, timelines, and deliverables, and lead end-to-end execution of strategic AI initiatives across multiple business units and technical domains, driving cross-functional alignment and sustained momentum to deliver on quality and on time
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Partner with product, engineering, research, and business stakeholders to scope and deliver enterprise-scale AI programs, from pilot to production
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Operationalize AI governance by embedding compliance, ethical AI standards, and responsible usage across initiatives
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Drive alignment across executive and cross-functional teams, ensuring visibility, accountability, and outcome tracking; Act as a key communicator and influencer with executive stakeholders, distilling complex technical topics into clear, compelling narratives
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Champion AI best practices in development workflows, change management, and product lifecycle
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Influence enterprise tooling and infrastructure investments to support AI model development, evaluation, and deployment at scale
