Senior Program Manager I, Supply Chain Planning, Technical Infrastructure

Google•Sunnyvale, CA

1d•$188,000 - $274,000

About The Position

Google is hiring an experienced individual-contributor Program Manager for its Supply Chain Planning organization, which accelerates and scales data center infrastructure delivery through AI-powered supply chain planning. The Rack Planning Team is accountable for physical rack-level infrastructure planning across Google's global data center fleet, including forecasting, demand and supply planning, execution feasibility, and software tool requirements. The role serves as business lead and strategic architect for designing, piloting, and institutionalizing a next-generation AI-driven forecasting model. The Program Manager has end-to-end accountability for operationalizing the capability, aligning cross-functional stakeholders throughout the program lifecycle, and eliminating deployment stockouts across data center footprints. The position calls for autonomy, technical competency in systems and hardware, strategic thought leadership, and influence across engineering, capacity planning, supply chain, and operations. The role is part of Google Technical Infrastructure, which develops and maintains data centers and platforms that support Google's products and services.

Requirements

Bachelor's degree or equivalent practical experience.
8 years of experience in program or project management.
Experience with supply chain planning or forecasting.
Experience with data center infrastructure or technical infrastructure.

Nice To Haves

8 years of experience managing cross-functional or cross-team projects.
Experience partnering directly with Software Engineering and Data Science teams to design and deploy machine learning/AI-driven planning and forecasting models.
Deep domain expertise in data center physical infrastructure.
Proven track record of architecting new operational verticals or executing end-to-end business transformations within hyperscale data centers or cloud infrastructure environments.
Exceptional strategic communication and executive presence, with demonstrated ability to influence director- and VP-level stakeholders across disparate organizations.

Responsibilities

Define business rules, model parameters, and algorithmic logic for an AI-driven, top-down forecasting model supporting critical data center infrastructure hardware.
Partner with stakeholder teams to translate data center physical constraints, hardware roadmaps, and demand ambiguity into scalable, automated forecasting processes and software.
Present program updates, process improvement proposals, and key findings to leadership.
Own delivery risk and operational metrics, drive continuous improvement, and design, implement, and institutionalize end-to-end operational workflows, playbooks, and governance cadences.
Build, integrate, and optimize advanced planning systems and analytical tools.
Gather and own system requirements to help engineering teams design and implement advanced analytics, planning systems, and ML/AI capabilities.