Define business rules, model parameters, and algorithmic logic to build a first-of-its-kind, AI-driven, top-down forecasting model to support critical data center infrastructure hardware. Partner with stakeholder teams to translate complex 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 methodologies, and design, implement, and institutionalize the 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 assist engineering teams in designing and implementing advanced analytics, planning systems and ML/AI capabilities.
Job description provided by Google.
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