Director, Corporate FP&A
DatabricksSan Francisco, CaliforniaPosted 11 April 2026
Tech Stack
Job Description
GAQ326R237
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Databricks is seeking a Director to join our Corporate FPA team. Reporting to the Vice President of Corporate FPA, this highly visible and impactful role that will be responsible for leading all core financial planning processes, including long range and annual planning processes. The Director will also support capital raising efforts in partnership with Finance leadership, and lead ad hoc projects and scenario planning to inform key business decisions.
The impact you will have:
Own all long and short term planning processes, including:
Define, implement, and scale best in class planning processes
Drive accountability across stakeholders through clearly defined roadmaps, timelines, and deliverables
Develop and maintain driver based financial models to optimize resource allocation and support strategic planning
Prepare executive ready materials, including financial models, scenario analyses, and presentations
Partner with Finance leadership to support capital raising efforts, collaborating cross functionally with FPA, Investor Relations, and Treasury
Drive the development of Executive and Board reporting materials, ensuring accuracy and clarity of financial insights and clear storytelling
Recommend annual and quarterly guidance strategies for Board and Investor communications
Drive a clear vision for best in class Corporate FPA processes to ensure IPO readiness
Lead ad hoc analyses and strategic projects to support senior Finance leaders, including Investor Relations
Identify and drive process and system optimization initiatives, including opportunities for automation
What we look for:
Bachelor's Degree in Business, Finance, Accounting, or a related field
10+ years of experience in FPA, corporate finance, management consulting, or investment banking; experience in the software or SaaS industry is a plus
Experience leading long range and annual planning processes at scale
Proven track record of financial leadership in a fast-paced, dynamic environment
Possess strong financial modeling and analytical skills; highly proficient in Excel / Google Sheets
Intellectual curiosity and the ability to solve problems independently
Strong analytical, organizational, and collaboration skills
Strong communication skills and the ability to prioritize and manage multiple objectives in a fast-paced environment while meeting deadlines
Experience with forecasting and planning tools (e.g., Anaplan)
Pay Range Transparency
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. For more information regarding which range your location is in visit our page here .
Zone 1 Pay Range
$223,800
$307,650 USD
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on
Twitter , LinkedIn
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Facebook .
Benefits
At Databricks, we strive to provide co ... (truncated, view full listing at source)
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