GAQ426R237
While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.
Overview:Databricks is seeking a Director of Operations and Strategy of FP&A to fundamentally re-imagine and evolve how our global Financial Planning & Analysis (FP&A) organization operates. Reporting directly to the Head of Finance Data, AI, and Strategy, this leader will serve as a strategic right-hand to FP&A leadership and interface directly with the CFO, the Head of Sales, and other executive stakeholders.
This is not a traditional operations role; we are looking for a high-caliber strategist with a fresh perspective who can design the future state of FP&A and personally drive the execution to get us there. You will lead massive, cross-functional programs that embed Data, AI, and modern ways of working into our core financial processes. Crucially, you will champion "Databricks on Databricks"—leveraging our own unified data intelligence platform to eliminate friction, automate workflows, and deliver predictive insights that accelerate our growth.
If you possess a blend of elite strategic thinking (e.g., top-tier management consulting) and a proven track record of in-house corporate transformation, this role offers a massive platform for impact.
The Impact You Will Have- Strategic Advisor & Design Partner: Serve as a key sounding board and right-hand to senior FP&A leadership to design organizational strategies, optimize corporate ways of working, and align financial planning with company-wide growth goals.
- Transform FP&A with Databricks: Lead the charge in changing how FP&A operates by embedding the Databricks platform, AI, and machine learning into core finance workflows—moving the team from descriptive reporting to scalable automation and predictive analytics.
- Drive High-Stakes, Cross-Functional Execution: Design and execute against complex, large-scale initiatives across Finance, IT, Engineering, Product, and Go-to-Market (GTM).
- Executive Visibility & Communication: Own the narrative. Run FP&A leadership forums, orchestrate the OKR and Quarterly Business Review (QBR) processes, and deliver high-impact executive communications to the CFO, Head of Sales, and other top-level leaders.
- Commercialization & Scale: Provide a strategic lens on commercialization and scale, ensuring financial processes seamlessly support evolving product strategies, pricing models, and GTM motions.
- Experience: 12+ years of progressive experience, ideally combining elite management consulting with in-house leadership roles within high-growth corporate FP&A or Business Operations functions.
- Strategic FP&A Expertise: Deep, foundational knowledge of FP&A architecture, combined with a distinct bias toward strategy and business transformation rather than purely routine operations.
- Transformation Catalyst: Proven success leading large-scale corporate transformations, re-architecting legacy workflows, and successfully managing the organizational change that comes with new technologies.
- Data & AI Tech Fluency: Experience implementing or managing AI, machine learning, or advanced automation tools within a finance org. Familiarity with SQL, Python, or data analytics platforms is highly desirable; a passion for leveraging the Databricks platform to solve financial complexity is required.
- Elite Executive Presence: Exceptional communication and presentation skills (expert-level Google Slides). Ability to command a room, influence senior executives, and distill complex financial transformations into clear, actionable strategies.
- Industry Context: Experience in the SaaS or high-tech enterprise software landscape. Exposure to corporate commercialization, pricing strategies, or product-led growth metrics is a strong plus.
- Education: Bachelor’s degree in Business, Finance, Economics, or a highly analytical field; MBA or advanced degree preferred.
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.
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.
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.
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 and Facebook.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Similar Jobs
What you need to know about the Los Angeles Tech Scene
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
