Senior Financial Analyst, AI/ML

Minimum qualifications:

• Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
• 7 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.

Preferred qualifications:

• Experience presenting complicated analysis, logic, and solutions in a clear and concise manner.
• Experience partnering with cross-functional stakeholders and helping influence decisions.
• Knowledge of the current ML landscape, infrastructure investments, and strategic priorities.
• Ability to build systems, processes and governance.
• Strong problem solving, analytical skills, and business judgment to drive recommendations for ML capacity investments and efficiency.

About the job

Financial Analysts ensure that Google makes sound financial decisions. As a Financial Analyst, your work, whether it's modeling business scenarios or tracking performance metrics, is used by our leaders to make strategic company decisions. Working on multiple projects at a time, you are focused on the details while finding creative ways to take on big picture challenges.

As someone who knows the workings of the core Finance team inside and out, you'll lead individual projects to transform planning, tracking and control processes. You'll provide senior level management with insightful recommendations, planning and reporting support.

Technical Infrastructure (TI) is the foundation of Google - global data centers, networks and integrated hardware/software power our unique customer products and services and support internal operations.

This leadership role is part of the Financial Planning and Analysis (FP&A) function and provides financial and analytical insights and business planning support to the Technical Infrastructure team with a focus on AI/ML investments. In this critical role, you will be leading to dissect complex problems, deliver insights, drive ML efficiency and help leaders throughout the business make critical strategic and resource allocation decisions and strike the right balance with risk management and controls.

The name Google came from "googol," a mathematical term for the number 1 followed by 100 zeros. And nobody at Google loves big numbers like the Finance team when providing in depth analysis on all manner of strategic decisions across Google products. From developing forward-thinking analysis to generating management reports to scaling our automated financial processes, the Finance organization is an important partner and advisor to the business.

The US base salary range for this full-time position is $132,000-$196,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 a deep understanding of Google's technical infrastructure and economics behind the significant investments needed to support AI/ML demand.
• Perform benchmark analysis and end-to-end operational assessments to identify efficiency opportunities. Structure and execute insightful analysis on investment recommendations, communicate findings and guide senior management decision making.
• Lead complex strategic initiatives in partnership with TI Finance and cross-functional teams to guide Google's ML footprint and balance the requirements of the business while delivering capacity cost-effectively.
• Help develop and implement processes, tools and governance to drive ML analytics with consistency across TI Finance and flexibility to adapt to individual team needs.
• Cultivate strong relationships and collaboration across numerous touch points with all TI leadership, TI Finance leadership, cross-functional Finance, Systems and Engineering teams.