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Program Manager II, Demand Planning, Google Data Center

Google
Atlanta, USA
Manager · 2+ years experience
Onsite
USD 132000-189000 / year
Discovered 6 days ago

Full Job Posting

Responsibilities

  • 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.
  • Experience in data analytics and data center operations.

Preferred qualifications:

  • 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.

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