Finance Manager

## Responsibilities - 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 across support functions - Own and operate the Support P&L, driving visibility into cost structure, margin dynamics, and financial performance across all support offerings - Design and implement new KPIs and reporting frameworks for both new and existing Support offerings, enabling data-driven decision-making and real-time visibility into operational and financial health - Partner with Commercialization on impact analysis for new Support offerings, assessing financial viability, pricing implications, and expected return to guide go-to-market readiness - Analytically solve problems by gathering and synthesizing large datasets to deliver clear, actionable recommendations to senior leadership; lead the end-to-end recommendation process - Nurture deep, trusted partnerships with Product, Support, Data Science, StratOps, Accounting, IT, and their respective technical teams to align on strategic priorities and drive cross-functional outcomes - Guide process improvement, standardization, and reporting enhancements across Support finance workflows, installing proper controls and simplifying processes to scale with the business ## Requirements - As a finance professional who has experienced hyper-growth, you will solve hard problems independently, have deep experience in financial analysis and operational modeling, and have strong executive presence to communicate with senior leadership - There will be new problems to solve, from standing up KPIs for emerging support offerings to assessing the financial impact of commercialization decisions, and you will approach them with first principles thinking to come up with a solution - Candidates in the listed location(s) are encouraged for this role, but candidates in other locations will be considered ## Nice to Have - None specified ## Benefits - Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.