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.
  
• Experience executing full-cycle FP&A functions including budgeting, forecasting, variance analysis, and modeling within a multinational company setting.

Preferred qualifications:

• MBA, CFA, or Master’s degree in Finance, Economics, Analytics, or equivalent practical experience.
• 7 years of experience in GTM, sales/commercial finance, SaaS Financial Planning and Analysis (FP&A), or corporate finance within high-growth enterprise tech/cloud environments.
• Experience evaluating enterprise agreements, non-standard terms, and agreement economics.
• Knowledge of advanced financial modeling, SQL, BigQuery, Looker/Tableau, and Salesforce/ERP systems.
• Expertise in B2B SaaS/cloud business mechanics (e.g., ARR, NRR, ACV, consumption models) and cybersecurity landscape familiarity.
• Ability to influence executive sales leaders, synthesizing complex data into strategic insights that optimize business growth and efficiency.

About the job

In this role, you will be a vital financial partner to the Google Cloud Security Sales and GTM organization. You will be responsible for driving key elements of our commercial business planning and analytics processes, including bookings forecasting, sales capacity planning, pipeline modeling, and business performance reporting. In addition, you will work directly with field sales teams on strategic agreement modeling to win competitive enterprise accounts and structure modern hybrid (commit-to-consume) agreements. You will turn complex billing and telemetry datasets into clear business insights that optimize sales investment, territory design, and business growth across our global security business.

Responsibilities

• Partner with Security Sales Leadership on multi-year ARR/TCV targets, capacity models, and regional quota allocation.
• Model enterprise security agreements, evaluating discounting, commit-to-consume terms, and customer Return on Investment (ROI) to maximize contract value.
• Lead business forecasting, ARR/NRR reporting, pipeline analytics, and ingestion drawdown tracking to predict renewals and expansions accurately.
• Analyze conversion, quota attainment, CAC payback, and ramp time to optimize salesforce productivity and strategy.
• Partner with product finance to operationalize new pricing structures (e.g. security credits), utilizing SQL/BI tools to automate financial dashboards and cross-functional governance.