Technical Program Manager: Data-Driven Infra & Forecasts

Google

Sunnyvale (CA)

On-site

USD 138,000 - 197,000

Full time

16 hours ago
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Job summary

Google’s Technical Program Manager role in Sunnyvale, CA invites you to lead complex, multi-disciplinary engineering projects from requirements with internal customers to full lifecycle. You will plan schedules, manage risks, and communicate trade-offs to engineers and executives.

As part of the Global Infrastructure and Energy team, you'll help SSP shape location strategy, portfolio planning, and modeling to scale Google's services securely and reliably, with data-driven insights and

Qualifications

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 2 years of experience in program management.
  • Experience developing data-driven models and insights.

Responsibilities

  • Design and develop models for location strategy given land, energy and networking constraints. Understand business trade-offs and translate to input and modeling requirements. Produce and maintain model results with explainability and traceability.
  • Analyze multitudes of data sources reflecting various layers of demand granularities across data centers and networking stacks. Design data validation, integrity and governance policies.
  • Drive execution of scalable models in collaboration with software engineers and supply planning teams. Create communication channels across various teams.

Skills

Data-driven modeling
Program management
Stakeholder communication

Education

Bachelor's degree in a technical field

Job description

Google’s Technical Program Manager role in Sunnyvale, CA invites you to lead complex, multi-disciplinary engineering projects from requirements with internal customers to full lifecycle. You will plan schedules, manage risks, and communicate trade-offs to engineers and executives.

As part of the Global Infrastructure and Energy team, you'll help SSP shape location strategy, portfolio planning, and modeling to scale Google's services securely and reliably, with data-driven insights and

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