US: $116000 - $166000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google.
Responsibilities
- Develop and maintain financial models to underpin business planning and critical decision-making, encompassing forecasting, budgeting, variance analysis, workforce planning, allocation analysis, and scenario modeling.
- Drive Google Cloud Headcount (HC) and Payroll cost planning and forecasting, ensuring seamless partnership, transparency, and execution across organizations to drive deep fiscal accountability.
- Oversee central analytics and provide subject matter expertise for Headcount and Payroll at enterprise scale, delivering actionable insights and planning guidance to business partners.
- Lead the orchestration of complex planning cycles, including Long Range Planning (LRP) and the Annual Operating Plan (AOP), establishing timelines, templates, and consolidation models to ensure alignment across multiple stakeholders.
- Support productivity analysis and modeling across GTM and Engineering, leveraging key productivity metrics (e.g., CAC payback, R&D spend) to optimize global talent distribution and evaluate internal AI efficiency gains.
Minimum qualifications:
- Bachelor's degree in Business, Finance, Economics, Statistics, or another quantitative field, or equivalent practical experience.
- 4 years of experience in financial planning and analysis (FP&A), consulting, or a related function.
- Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.
- Experience with programming (i.e. SQL).
Preferred qualifications:
- 7 years of financial planning and analysis, corporate finance, strategy, or workforce planning experience, with expertise managing enterprise-scale goals payroll budgets and large global workforces.
- Experience designing complex workforce strategies, structuring large headcount datasets, and delivering talent recommendations to executives.
- Experience developing strategies in a changing engaged environments with impeccable business judgment for resource allocation.
- Experience with building data infrastructure (e.g., designing data schemas, building pipelines, implementing scalable monitoring) and implementing reporting solutions (SQL, PLX, Looker, Tableau).
- Strong communication skills with the ability to work cross-functionally across a wide variety of departments, take complete project ownership, set clear objectives, and drive results.