Senior Financial Analyst, Cloud Central Finance

• Health, dental, vision, life, disability insurance
• Retirement Benefits: 401(k) with company match
• Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
• Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
• Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
• Baby Bonding Leave: 18 weeks
• Holidays: 13 paid days per year

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:

• Experience navigating fast-evolving environments, such as the scaling AI landscape, with the ability to deliver accurate, rapid-turnaround analysis under tight deadlines while keeping a clear view of overarching business goals.
• Ability to structure massive, ambiguous datasets and translating technical numbers into clear, actionable insights for product and sales leadership.
• Ability to build, scale, and maintain complex, driver-based financial models.
• Exceptional business acumen and a high bar for data accuracy, with a proactive mindset focused on identifying inefficiencies, streamlining data pipelines, and optimizing legacy planning workflows.

About the job

The Cloud Central Financial Planning and Analysis (FP&A) team's mission is to empower leadership with proactive, data-driven financial insights needed to turn long-term strategy into execution and profitable growth. We are the trusted, independent advisors to Cloud leadership, translating complex financial data into clear decision frameworks. Culturally, we operate as one unified team, deeply committed to cross-functional collaboration and dedicated to investing in the growth and development of every teammate.

As a Senior Financial Analyst, you will provide the thought leadership and analytical excellence necessary to integrate fast-evolving AI growth plans into core financial frameworks for the Cloud business. Partnering closely with Central, Product, and Go-To-Market stakeholders, this role drives the quantitative modeling for regional target allocation and synthesizes Cloud revenue planning across AI and Classic product lines into a unified view for executive leadership.

In this role, you will translate complex multi-year long-range planning (LRP) drivers into the Annual Operating Plan (AOP), clearly outlining execution paths, risks, and strategic tradeoffs for Cloud leadership. Additionally, they will own multi-year bookings and consumption models while serving as a central bridge across FP&A and data teams. By leveraging the latest AI tools to automate reporting and modernize workflows, you will streamline data pipelines and elevate overall operational planning excellence.

Responsibilities

• Partner with stakeholders to build quantitative models allocating global targets down to key regional markets and customer segments. Provide the thought leadership needed to integrate new, fast-evolving AI growth plans and competitive dynamics.
• Partner across product lines to consolidate complex Cloud and GCP revenue planning models. Synthesize inputs across systems into a single financial view that provides clear, driver-based insights for executive leadership.
• Translate long-range planning drivers into the AOP framework. Build the structures that tie annual targets to the multi-year plan, clearly outlining execution steps, risks, and strategic tradeoffs.
• Own the multi-year financial framework for bookings. Partner with strategy and operations and finance to align bookings with revenue and backlog consumption trends.
• Partner with teams to streamline data pipelines, share knowledge, and leverage the latest AI tools to automate and modernize core planning processes.