Develop a deep understanding of Google’s technical infrastructure and economics behind the significant investments needed to support AI/ML demand and drive long-range planning.

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.

Help develop and implement processes, tools and governance to drive ML analytics with consistency across TI Finance.

Cultivate strong relationships and collaboration across numerous touch points with Alphabet leadership, TI Finance leadership, cross-functional finance, and systems and engineering teams.

Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.

10 years of experience in financial planning and analysis (FP&A), consulting, or a related function, or an advanced degree.