About The Position

As a Technical Program Manager at Google, you will lead complex, multidisciplinary projects from start to finish. You will work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate with cross-functional partners, while explaining analyses and recommendations to executives and discussing technical tradeoffs with engineers. This role is part of a team responsible for managing Google's network infrastructure data. You will collaborate with teams across Google and contribute to or lead the development of tools, methods, and procedures that improve visibility into network infrastructure as it scales. The work spans data management and modeling, business analysis, and project management. You will develop data policies, scale network data systems and processes, oversee data projects and ETL workflows, coordinate schedules and priorities, and guide AI/ML integration for physical inventory data auditing. The role is part of the Technical Infrastructure team, which develops and maintains data centers and Google platforms and keeps its networks running. Individual pay is determined by job-related skills, experience, and relevant education or training. The listed US compensation is $163,000–$236,000 USD, plus a 15% bonus target, equity, and benefits.

Requirements

  • Bachelor's degree in a technical field or equivalent practical experience.
  • 5 years of experience in program management.
  • Experience with big data concepts or technologies, such as analytics warehousing, data transformation, data governance, data migrations, or performance or scalability optimizations.
  • Experience working with data analytics tools such as SQL, BigQuery, or R, and reporting platforms such as Tableau, Microstrategy, or Business Objects.

Nice To Haves

  • 5 years of experience managing cross-functional or cross-team projects.
  • Experience in data analytics, warehousing, ETL development, data science, or other big data applications.
  • Experience with relational database design and development, such as SQL, MSSQL, Oracle, PostgreSQL, or MySQL.
  • Experience administering high-availability cloud-based ESRI ArcGIS enterprise software instances with internal workflows, processes, and pipelines.
  • Knowledge of data networking architectures and physical network components.

Responsibilities

  • Develop data policies and educate cross-functional partners to ensure the accuracy and accessibility of Google's global network infrastructure data.
  • Scale network data systems and processes in collaboration with partner teams to optimize business efficiency.
  • Oversee tactical data projects, ETL workflow development, and contractor-led data entry operations.
  • Partner with cross-functional leadership to synchronize project schedules and organizational priorities.
  • Guide the integration of AI/ML frameworks to automate physical inventory data auditing, proactively identify anomalies, accelerate data reconciliation, and ensure high integrity.

Benefits

  • 15% bonus target
  • Equity
  • Benefits
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