Principal Program Manager, AI Operations

AI/ML Development Seattle, Washington, United States

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Summary

Senior program management practitioner with 25+ years in enterprise portfolio and delivery governance, now applying generative AI as a native operating layer across portfolio hygiene, dependency analysis, specification design, and decision support. Deployed AI-augmented governance at T-Mobile (~500 initiatives) and Doosan GridTech (~1,0001,300 tasks per stream), achieving full-coverage analysis rather than sampling-based review. Designed specification frameworks precise enough to serve as direct AI inputs, contributing to 65% cycle-time compression. Currently operating agentic project spaces with custom skill pipelines, structured routing, and token-budgeted context architecture. Strong in translating AI strategy into operational reality intake, sequencing, risk surfacing, and cross-functional coordination.

Expectations

I'm seeking a Principal or Senior Program Manager role within an AI practice or AI-intensive organization where I can manage the operational and organizational aspects of AI initiatives. I'm not the AI visionary I'm the senior practitioner who makes AI strategy executable: intake discipline, sequencing, cross-functional coordination, governance cadence, and delivery tracking. Fully remote from Washington State required. Best fit is reporting to a Director or VP of AI who owns strategy while I own operational execution and program infrastructure.