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Cloud Workforce Planning Analyst, Google Cloud Finance

Google
Sunnyvale, USA
Mid · 4+ years experience
Onsite
USD 116000-166000 / year
Discovered 3 weeks ago

Full Job Posting

Responsibilities

  • Serve as the primary Workforce Planning business partner and strategic advisor to Cloud executive leadership, translating investment priorities into capacity models.
  • Synchronize Google Cloud Headcount (HC) and Payroll cost planning, forecasting, and complex cycles (LRP/AOP) bridging internal Finance teams with external Operations partners.
  • Lead productivity analysis and AI-driven modeling across Go-To-Market and Engineering organizations to optimize global talent distribution.
  • Develop measurable workforce scorecards that translate executive growth strategies into metrics, balancing headcount capacity tradeoffs where priorities overlap.
  • Establish a highly accurate enterprise workforce data foundation and leverage internal automation tools to streamline workflows and deliver actionable planning guidance.

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 (e.g., budgeting, forecasting, variance analysis, modeling).

Preferred qualifications:

  • Experience in FP&A, strategy, or workforce planning, managing enterprise-scale budgets and large global workforces.
  • Experience leading workforce strategies, structuring headcount datasets, and delivering talent recommendations to executives.
  • Experience advising C-suite leadership and building partnerships across People Operations, Strategy & Operations, and Finance.
  • Experience navigating shifting business priorities, challenging traditional headcount models, and maximizing the return on talent investments.
  • Experience utilizing workforce planning tools, advanced analytics, and automation to streamline headcount forecasting and solve capacity constraints.

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