Head of Data Center Business Intelligence, Google Cloud

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
  
• 14 years of experience in data center capacity planning, modeling, or reporting, or corporate strategy, consulting or similar.
• Experience with statistical software (e.g., R, Python) or database languages (e.g., SQL).
• Experience in leadership, such as people management, team lead, mentorship or coaching.

Preferred qualifications:

• MBA, Master's degree, or advanced degree in a technical or scientific field of study.
  
• 5 years of experience in managing a high-performing investigative team of 3 or more.
• Experience in Business Intelligence, Financial Planning and Analysis (FP&A), or Capacity Planning.
• Experience in Data Center infrastructure, Cloud computing, or related high-tech hardware/services businesses.
• Experience in financial modeling and analysis, converting operational metrics into financial impacts with the ability to translate ambiguous, high-level business goals into specific, quantifiable, and granular data center metrics.
• Ability to design, implement, and maintain complex BI reporting frameworks and data models.

About the job

As the Head of Data Center Business Intelligence (BI), you will be the executive leader responsible for establishing and managing the critical link between the company's global go-to-market (GTM) strategy and the Business Intelligence function that supports our data center (DC) infrastructure capacity and financial planning and decision making. You will lead a team of Data Analysts, Data Engineers and Data Scientists to build a structured data reporting framework that translates geographic, pipeline, and business-play-based business growth forecasts into location-specific, and hardware-level demand signals. You will enable proactive capacity planning, optimize infrastructure investment, and provide the financial context for strategic program investments. You will be the owner of the demand modeling function quantifying projected capacity needs and business generation impact across all data center locations. You will directly influence multi-billion infrastructure decisions by providing the previously missing view connecting business generation projection directly to a data center consumption view. This includes analyzing market dynamics, such as the potential for pipeline to be fulfilled by lower-cost alternative locations, and actively working to shape demand in alignment with capacity strategy. You will have an experience in Data Center reporting, business intelligence, or modelling.

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.

The US base salary range for this full-time position is $218,000-$306,000 + 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

• Own the development and continuous refinement of capacity projection models at both the location and hardware level, driven by GTM business play data, geographic pipeline analysis, and market-specific intelligence.
  
• Build the underlying data structures and BI reporting that provide a reliable, single source of truth for connecting pipeline value to hardware consumption.
  
• Conduct analysis on demand shaping opportunities and risks to inform strategic capacity and pricing decisions.
  
• Collaborate with executive leaders in GTM/Business, Finance, Data Center Operations, and Marketing to ensure alignment on demand signals and capacity strategy.
• Leverage with modern BI tools (e.g., Tableau, Power BI, Looker), SQL, and advanced proficiency in statistical or scripting languages (e.g., Python, R) for sophisticated forecasting and modeling.