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# Strategy and Operations Program Manager, Data Center and Delivery Engineering

- **Company:** Google LLC
- **Location:** San Francisco, CA, United States
- **Experience:** Experienced
- **Salary:** $132,000.0 - $189,000.0
- **Contract:** Permanent contract
- **Skills:** Data Centers, Tableau (Software), Looker Analytics
- **Published:** September 16, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=a1dc1b025518aab0

## About the Role

* Bachelor's degree or equivalent practical experience.
 * 2 years of experience in program or project management.
 * 2 years of experience in management consulting, construction management, operations, business analytics, or a related function.
 * 2 years of experience with SQL (querying structured datasets), spreadsheet-based modeling (e.g., Sheets), data visualization tools (e.g., Looker, Tableau, or similar BI platforms) for business planning, forecasting, or financial analysis., * MBA, Master's degree or PhD in a Management field with an emphasis on Construction, Business Operations, and Strategy.
 * 2 years of experience managing cross-functional or cross-team projects.
 * Data driven problem-solving skills, with the ability to identify key challenges, gather and analyze large complex data sets to support hypotheses and develop actionable recommendations.

## Description

* Identify and structure critical business problems, distilling complex data into core issues and actionable, high-impact recommendations.
 * Own the DCDE Headcount Model, aligning staffing ratios and Annual Operating Plan (AOP) forecasting methodologies with Finance, HR, and DCDE leadership.
 * Partner with central DCData-AI to coordinate data pipelines, model enhancements, and automated reporting infrastructure.
 * Deliver capacity reporting, organizational health metrics, and executive operational dashboards to translate complex data into actionable insight.
 * Manage recurring planning syncs and cross-pillar communications to maintain accurate resource plans through organizational changes and implement process improvements to reduce reporting toil, enhance data quality, and accelerate workforce planning cycles.