Investigate availability-zone imbalances, service and product-configuration gaps, power availability, and deployment bottlenecks. Develop decision-ready mitigation options. Work with technical and business partners to evaluate supply acceleration, restoration of power availability, demand shaping, alternative workload placement, and prioritization. Build regional outlooks and scenarios with planning partners, considering connected regions and their dependencies. Deliver concise updates through established operating and planning forums. Improve assessment methods and repeatable practices so lessons from one region strengthen the next Develop deep working knowledge of datacenter deployment architectures, including compute (GPU/accelerators), networking, storage, racks, power, cooling, and platform readiness. Ensure platform, tooling, monitoring, and operational readiness for AI workloads prior to production cutover. Provide crisp, data‑driven updates to senior leadership on progress, risks, mitigation plans, and business impact. Partner deeply with hardware engineering, software engineering, infrastructure, networking, data center operations, and supply chain teams to unblock execution. Act as the central point of coordination across highly interdependent teams and external partners. Influence decision‑making with data, technical insight, and strong executive communication. Bachelor's Degree AND 4+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 2+ years of experience managing cross-functional and/or cross-team projects. These requirements include, but are not limited to the following specialized security screenings: 5+ years of experience as a Technical Program Manager, Program Manager, or similar role in highly technical environments. Proven experience leading complex, cross‑team technical programs with significant infrastructure or platform components. Experience delivering or scaling AI, HPC, or GPU‑based platforms in production environments. Experience driving cycle‑time reduction or large‑scale process transformation.