Vertex AI Capacity Lead, Cloud Product Finance (English, Spanish)

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.
• Ability to communicate in English and Spanish fluently to engage with local stakeholders.

Preferred qualifications:

• Experience with SQL and data visualization tools.
• Experience leading cross-functional project teams, with excellent problem-framing and problem-structuring, and project management skills.
• Ability to work in a fast-paced, dynamic environment.
• Ability to communicate insights to a wide range of stakeholders including highly technical management teams.
• Excellent investigative and quantitative modeling skills.

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. While working on multiple projects at a time, you are focused on the details while finding creative ways to solve big picture challenges.

In this role, you’ll be a member of the Cloud AI and Applied AI product finance team. We help to productize and commercialize Gemini and other AI innovations for our Cloud customers via Vertex AI and the Applied AI team.

You will be the Vertex AI team’s trusted financial, strategic, and operational advisor for AI capacity needs. By developing financial reporting and key performance indicators, you will drive improvements in business outcomes. You’ll need to work cross-functionally across business leadership, product management, engineering, and business planning and commercialization teams.

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.

• Act as a finance point of contact for other internal finance teams to guide their product development decisions.
• Develop a new intake process to forecast internal capacity needs.
• Track and report on AI efficiency commitments.
• Partner to guide business decisions related to capacity allocation decisions.
• Create and maintain the driver-based capacity forecast model taking into account AI usage, technical initiatives, model releases, and internal needs from fine-tuning or other internal users.