Program Manager II, Demand Planning, Google Data Center
- Compensation
- Not disclosed
- Location
- Atlanta, GA, USA; Sunnyvale, CA, USA
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 2+ years
- Category
- Project management
- Posted
Skills
Must have
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in program or project management.
- Experience in supply chain operations with an emphasis on demand planning, process mapping, integrated planning, supply/demand management, and labor modeling.
- Experience in data analytics and data center operations.
Nice to have
- MBA or Master's degree with an emphasis in supply chain, operations management, or quantitative disciplines.
- 2 years of experience managing cross-functional or cross-team projects.
- Experience establishing and monitoring key forecast performance metrics, specifically focused on improving forecast accuracy and mitigating forecast bias.
- Experience in driving process improvement projects from idea to implementation and adoption.
- Understanding of data center infrastructure, data center operations, technical infrastructure deployments, and specific technician labor requirements for these environments.
- Excellent communication, people management, and data analytics skills with the ability to successfully work across multiple levels of the organization.
Full description
A problem isn’t truly solved until it’s solved for all. That’s why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Program Manager at Google, you’ll lead complex, multi-disciplinary projects from start to finish — working with stakeholders to plan requirements, manage project schedules, identify risks, and communicate clearly with cross-functional partners across the company. Your projects will often span offices, time zones, and hemispheres. It's your job to coordinate the players and keep them up to date on progress and deadlines.
As a Program Manager II, you will lead labor demand planning and forecasting initiatives within our global Supply Chain Planning organization. In this role, you will own the end-to-end forecasting rhythm that determines where, when, and how many data center technicians are needed to deploy, support, and maintain Google’s hyperscale infrastructure.
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.
- Build, maintain, and execute predictive labor demand models to forecast where, when, and how many data center technicians are required across Google’s global fleet.
- Participate actively in and independently lead monthly Integrated Planning and Demand Reviews (IPDRs) for respective demand stripes, and participate in Demand-Supply Reviews (DSR).
- Translate day-to-day business logic, planning rules, and schema definitions into structured functional requirements for engineering teams to build automated solutions.
- Identify, scope, and lead cross-functional improvement programs aimed at advancing Google's labor forecasting capabilities, tool integrations, and operational visibility.
- Leverage modern AI tools and automated workflows to augment scenario simulations, streamline repetitive planning tasks, and improve overall operational efficiency.
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 2 years of experience in program or project management.
- Experience in supply chain operations with an emphasis on demand planning, process mapping, integrated planning, supply/demand management, and labor modeling.