Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems. Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $159000 - $230000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Build network flow and distribution models across upstream suppliers, regional fulfillment hubs, and destination data centers; evaluate sourcing rule changes, lane realignments, and routing adjustments to assess downstream capacity impacts and balance network workload.
Establish and govern repeatable capacity planning processes, planning calendars, and forecast lock cycles from the ground up, embedding warehouse and data center capacity plans into monthly S&OP/D&OP cycles, rolling commits, and quarterly/annual budgeting.
Own key forecast health metrics, including plan-vs-actual variance and forecast accuracy/bias (WAPE, MAPE), driving root-cause analysis and continuous calibration of the underlying models and parameters that enable constraint planning.
Design, build, and own forecasting and capacity models that enable constraint planning across GCL global warehouses and data centers, translating upstream supply chain and deployment schedules into multi-horizon plans across storage space, dock throughput, and labor.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
5 years of experience in program or project management.
Experience in developing forecasting models and scripting in SQL.
Experience in logistics, logistics capacity planning, network modeling, constraint planning, or demand forecasting.
Preferred qualifications
Experience building and owning end-to-end quantitative logistics capacity, network, constraint, or forecasting models across warehousing, distribution centers, data center operations, or hardware supply chains.
Expertise in physical logistics capacity and distribution planning, modeling network flows, sourcing rule changes, storage footprint, dock throughput, and labor capacity across short and long-term horizons.
Advanced proficiency in SQL, Python, or statistical modeling tools to build capacity pipelines, simulate network/sourcing changes, analyze plan-vs-actual variances, and improve forecast accuracy (WAPE, MAPE, Bias).
Define business logic, sourcing rules, and functional requirements that integrate and automate manual planning models into internal logistics capacity planning tooling.
Bachelor's degree or equivalent practical experience.
5 years of experience in program or project management.
Experience in developing forecasting models and scripting in SQL.
Experience in logistics, logistics capacity planning, network modeling, constraint planning, or demand forecasting.
