Technical Program Manager, Infrastructure Portfolio Planning and Insights

Google is a global technology company that builds products to create opportunities for everyone.
$142,000 - $211,000
Data
Mid-Level Software Engineer
In-Person
5,000+ Employees
5+ years of experience
Enterprise SaaS

Description For Technical Program Manager, Infrastructure Portfolio Planning and Insights

Google is seeking a Technical Program Manager for Infrastructure Portfolio Planning and Insights to shape their long-term infrastructure strategy. This role combines technical expertise with strategic planning to develop data-driven supply strategies and optimize Google's infrastructure portfolio. The position requires strong analytical skills to forecast demand, analyze portfolio performance, and guide decision-making that supports Google's growth, particularly in AI/ML and Cloud services.

The role involves working with cross-functional teams to manage complex projects from inception to completion. You'll be responsible for developing and maintaining portfolio analytics, tracking resource utilization, and ensuring Google's infrastructure meets future capacity needs while minimizing costs. The position requires expertise in data center planning, SQL proficiency, and strong quantitative analysis skills.

As a TPM, you'll collaborate with stakeholders across different levels, from executive leadership to junior staff, requiring excellent communication skills. You'll play a crucial role in financial planning, risk assessment, and strategic decision-making for Google's infrastructure development. The role offers competitive compensation, including base salary, bonus, equity, and comprehensive benefits.

The ideal candidate will have at least 5 years of program management experience, with a strong technical background and proven ability to foster a data-driven culture. You'll work in an inclusive environment that values diversity and promotes belonging, contributing to Google's mission of building products that serve everyone.

Last updated 15 days ago

Responsibilities For Technical Program Manager, Infrastructure Portfolio Planning and Insights

  • Quantify impacts from the data within a portfolio ledger and dashboards to report and track progress
  • Forecast infrastructure supply product types needed to optimally fill the powered assets portfolio
  • Financial planning on a portfolio providing full capex and opex view of inventory development
  • Collaborate with project teams to quantify and assess potential risks across the portfolio

Requirements For Technical Program Manager, Infrastructure Portfolio Planning and Insights

  • Bachelor's degree in a technical field, or equivalent practical experience
  • 5 years of experience in program management
  • Experience using data and quantitative analysis to generate business insights
  • Experience with data center planning and/or development projects
  • Experience using SQL to extract and manipulate data

Interested in this job?

Jobs Related To Google Technical Program Manager, Infrastructure Portfolio Planning and Insights

Data Scientist, gTech Ads Professional Services

Data Scientist role at Google focusing on marketing analytics and ML solutions for major clients, requiring 3+ years of experience in analytics and programming.

Product Manager, Workspace Administration Reporting and Insights Platform

Product Manager role at Google leading the Workspace Administration Reporting and Insights Platform, focusing on delivering real-time insights and analytics solutions.

Data Scientist, Research, Responsible AI, Trust and Safety

Data Scientist position at Google focusing on Responsible AI and Trust & Safety, combining machine learning expertise with ethical technology development.

Data Scientist, Product, Google Ads Billing

Data Scientist position at Google focusing on Ads Billing analytics, requiring expertise in statistical analysis, experimental design, and data-driven decision making.

Technical Program Manager, Fleet Decision Intelligence

Technical Program Manager role at Google focusing on Fleet Decision Intelligence, combining data analysis, machine learning, and project management skills.