Finance Manager – FP&A, Product Support

Job Description

Finance Manager | Databricks

The Tone:
This is a full-time role at Databricks, with candidates encouraged in listed locations, but other locations will be considered. Databricks is the data and AI company, helping over 10,000 organizations worldwide unify and democratize data, analytics, and AI through its Data Intelligence Platform. This role is crucial as a strategic finance partner to the Product Support organization, driving financial rigor and providing operational insights across all support offerings. The successful candidate will own the Support P&L and shape the financial strategy for new and existing support investments.

The TL;DR
• Role: Manager
• Type: Full-time
• Location: Remote (US)
• Pay: $169100–$232550 yearly
• Team: FP&A team, partnering with Product Support organization
• Mission: To drive financial rigor and operational insights across Product Support offerings and shape financial strategy.

What You’ll Actually Do
• Model: Build and maintain a workforce management capacity model in partnership with Product, Support, Data Science, and StratOps teams to ensure optimal resource planning and allocation.
• Ownership: Own and operate the Support P&L, driving visibility into cost structure, margin dynamics, and financial performance across all support offerings.
• Design: Design and implement new KPIs and reporting frameworks for both new and existing Support offerings, enabling data-driven decision-making and real-time visibility.
• Partner: Partner with Commercialization on impact analysis for new Support offerings, assessing financial viability, pricing implications, and expected return.
• Solve: Analytically solve problems by gathering and synthesizing large datasets to deliver clear, actionable recommendations to senior leadership.

The Must-Haves
• Background: Manager-level finance professional with deep experience in financial analysis and operational modeling, having experienced hyper-growth environments.
• Experience: Proven experience in financial analysis and operational modeling, adept at solving complex problems independently, and comfortable communicating with senior leadership.
• Skills: Financial analysis, operational modeling, executive presence, data synthesis, and first principles thinking.