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: $132000 - $189000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Own and maintain deterministic node-level capacity and constraint models across warehouses and data centers (dock processing rates, receiving/staging capacity, storage/rack/pallet footprint, pick/pack/kitting speeds, and hand-off velocity).
Monitor operational health through dashboards, highlighting network readiness gaps, shift shortages, or processing risks well in advance of execution.
Perform quantitative scenario analysis and sensitivity checks across both tactical demand supply review cycles and medium-to-long-term planning horizons to model the operational impact of volume surges, intake delays, or schedule adjustments.
Conduct root-cause analyses on execution shortfalls, identifying whether variances stemmed from forecast deviation, labor availability, or processing inefficiencies.
Serve as a key operational partner to internal cross-functional stakeholders/operations, providing validated business logic, table schemas, and functional rules to automate manual planning sheets across short- and long-term planning modules.
Minimum qualifications
Bachelor's degree or equivalent practical experience.
2 years of experience in program or project management.
Experience in supply chain logistics and capacity planning, network modeling, or constraint planning.
Experience with SQL and quantitative modeling.
Preferred qualifications
2 years of experience managing cross-functional or cross-team projects.
Experience providing operational requirements, constraint logic, or user-acceptance testing (UAT) to engineering teams building automated short- and long-term supply chain planning tools.
Proficiency in SQL (writing complex queries, joining multi-table datasets) and familiarity with scripting languages (e.g., Python, R) for data wrangling, automation, or simulation/optimization routines.
Demonstrated ability to conduct root-cause analysis on operational performance data (plan-to-actual variance tracking, productivity metrics, cycle time analysis).
Ability to conduct root-cause analysis on operational performance data (plan-to-actual variance tracking, productivity metrics, cycle time analysis).
Bachelor's degree or equivalent practical experience.
2 years of experience in program or project management.
Experience in supply chain logistics and capacity planning, network modeling, or constraint planning.
Experience with SQL and quantitative modeling.
