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In office (Sunnyvale)
Seniority
Middle · 5+ years exp
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Confirmed on the employer's own hiring board on Nov 7, 2026. First seen by Alion on Nov 4, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
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Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

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 Technical Program Manager at Google, you’ll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You’ll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers.

Our team purpose is to enable efficient decision-making across Google’s data center supply chain by developing trust and promoting insightful data discovery. Our mission is to become a strategic advantage for the supply chain teams by partnering cross-functionally to develop, and promote, trusted easy-to-use data, interpretable high-impact analytics, and advanced modeling.

The team works closely with functional teams across the supply chain (e.g. sourcing, manufacturing, finance, logistics, etc.) to improve data center readiness through data-driven decisions. Our methods range from working on data curation and interactive visualizations through developing machine-learning (ML) models to automate processes. Also, we develop capabilities that enable self-serve analytics in the organization.

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: $163000 - $236000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Translate supply chain operational process needs into dynamic analytical models which enable business users to make rapid business decisions.
  • Manage all aspects of advanced analytics solution delivery (e.g., ML models, Statistical models, Optimizations, Simulations) including sprint definition, task prioritization, capacity management and progress tracking including change management efforts by developing documentation, training and webinars to enable self-serve analytics for the supply chain.
  • Track and clearly communicate complex topics, progress, and impact/outcomes to key stakeholders, leadership, and the supply chain organization.
  • Develop and lead a portfolio of complex analytic projects (roadmap) and provide technical and program guidance to other analysts and teams.

Qualifications

Minimum qualifications:

  • Bachelor's degree in a technical field, or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience in supply chain management and analytics.
  • Experience with data science, Python, and applied machine learning.

Preferred qualifications:

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience influencing teams and helping the supply chain business prioritize and define value.
  • Knowledge of advanced simulation and modeling tools.
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