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# Cloud Infrastructure and Operations Lead, Google Cloud

- **Company:** Google LLC
- **Location:** Chicago, IL, United States
- **Experience:** Expert
- **Salary:** $152,000.0 - $221,000.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Data Analysis, Cloud Computing, Data Centers, Infrastructure as a Service (IaaS), Machine Learning, SQL Databases, Google Cloud, Gsuite, Looker Analytics
- **Published:** October 7, 2026
- **Apply:** https://dejobs.org/x/x/47345BE2A77A4D579B075F343E0887F9/job/

## About the Role

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area., * Bachelor's degree or equivalent practical experience.

 * 6 years of experience in Product Management, Customer Engineering, Go-to-Market Strategy, Sales Operations, Strategy and Operations, Management Consulting, Finance, or Program Management.
 * Experience with data analysis and generating data-driven insights to influence executive-level decision-makers.
 * Experience with cloud infrastructure, including IaaS compute, storage, and networking products and AI models., * MBA or Master's degree including Finance, Operations, Engineering, and Management.
 * Experience tailoring and delivering compelling reporting and presentations by audience, asking strategic questions, and leading conversations that drive results and efficiencies.
 * Knowledge of enterprise customers and cloud technologies, products and market landscape.
 * Familiarity with data center capacity planning tools & concepts across space & power, compute and storage, and different machine types.
 * Analytical skills (e.g., financial modeling, Google Sheets, SQL, Looker, etc.) to problem solve, influence business leadership, measure outcomes, and evolve recommendations based on results.

## Description

* Leverage AI tools to develop demand forecasts for global data center regions across multiple input dimensions including segmented customer consumption, product level usage, & pipeline data to size demand and make procurement decisions against those signals.
 * Partner with Capacity Planning to design and implement capacity allocations forums for Compute (CPU), Storage, and AI Chips (TPU/GPU), automating and scaling global signaling processes.
 * Partner with account managers and customer engineers to intake customer capacity requirements and manage them through the capacity and product allocation processes.
 * Own a set of data center regions and guide them through performance management program including tracking revenue-based metrics across data centers, sales regions, and customers segments. Develop analytics to find root causes of consumption trends and convert those analytics into actionable insights.
 * Influence executive-level decision-making.