Technical Program Manager, Data Center Operational Analytics

Minimum qualifications:

• Bachelor's degree in a quantitative field (e.g., Engineering, Computer Science, Mathematics, Physics, Statistics, Economics, Finance) or equivalent practical experience.
  
• 5 years of experience working with data analytics tools and reporting platforms.
• Experience with forecasting, data analysis, and insights for executive audiences (e.g., SQL, R, Python, dashboard creation, modeling, statistics, programming).
  

Preferred qualifications:

• Master's degree or PhD in a quantitative field such as Statistics, Economics, Engineering, or Mathematics.
• Experience in third-party vendor management, including performance evaluation and data-driven risk assessment.
• Experience leading data science projects from conception to completion.
• Ability to translate data into actionable business insights and drive strategic decisions.

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.

As a Technical Program Manager for Data Center Operational Analytics, you will manage the data analysis on the Third-Party Data Center team (3PDC). You will evaluate a wide range of data to drive meaningful change by uncovering insights and trends. You will be responsible for developing new metrics, interpreting trends, and investigating anomalies in data to build evaluation frameworks for our global provider performance. You will work to connect multiple programs to align evaluation metrics and highlight inconsistencies, in order to drive the success of our overall approach to Third-Party Data Center provider performance. This role will require you to derive data-driven conclusions and effectively communicate your findings to executive leadership to drive discussion and action. This is a unique opportunity to use your expertise in data analysis and advanced statistical methods to identify areas for risk mitigation and strategic resource deployment for our campuses globally.

Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google's product portfolio possible. We're proud to be our engineers' engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.

The US base salary range for this full-time position is $156,000-$229,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Develop evaluation frameworks for third-party data center provider performance measurements, including incident management, new metrics, and interpreting trends and investigating anomalies in data from multiple programs and focus areas.
• Serve as the point-of-contact for a significant project area, using data to drive technical decisions and demonstrate success.
  
• Collaborate with cross-functional partner teams to align and drive unified analyses.
  
• Mentor other teammates and provide constructive technical feedback within the team.