Sr. Manager, Compensation Analytics & Intelligence

(GAQ327R301) Databricks is seeking a data-driven compensation professional to lead our Compensation Analytics & Intelligence function. This role will provide centralized compensation analytics and intelligence to drive better, faster, and more consistent decision-making through the effective use of data. This is a key role within the Compensation function at Databricks. This is a builder’s role for someone who lives at the intersection of compensation, data, and strategy. You will transform enterprise-wide compensation data into insights and operational tooling, serve as the function’s go-to lead for AI and data strategy, and act as a trusted thought partner to senior leaders on the company’s most complex pay challenges — all while maintaining the highest standards for data governance, privacy, and security. In a talent market this dynamic, you will be the person who sees where the market is moving before it moves. At Databricks, we don’t believe compensation is just a number; it’s a tool to recognize that every employee is an owner and a part of our success. We are looking for a team member who brings rigor, intelligence, and world-class craft to that mission. The impact you will have: Scope of the role This is a hands-on, high-impact role that will effectively cover the below areas and the anticipated time spent on each: Company-wide program analytics (35%) — Own enterprise-wide compensation analytics: the market benchmarking process, total comp budget forecasting, and the analytical backbone for major program decisions. AI & data strategy lead (25%) — Serve as the Compensation function’s lead on AI and data strategy. Partnership with Finance (20%) — Partner with Finance teams on cash compensation budgets and spend. Collaborate on equity budget and spend modeling in close partnership with the Exec & Equity comp lead. Competitive intelligence & QBR reporting (10%) — Track market trends and spikes/cool-downs across cash, equity, and total rewards. Strategy & program design partnership (10%) — Provide thought partnership on major comp program design and company-wide strategic problems What we look for: We’re looking for someone who has the following strengths Analytics Data fluency — This is the heart of the role. Exceptional analytical skills with a proven ability to transform raw, complex data into insights, tooling, and recommendations. You see the story in the numbers and build the systems that surface it. Know your tools — Advanced capabilities required in gSheets and Excel. Strong working fluency in SQL and experience with BI / analytics platforms (e.g., Tableau, AI/BI) strongly preferred; Python and hands-on experience applying AI to comp analytics are a meaningful plus. Lead on AI — Genuine enthusiasm and sound judgment for how AI can responsibly transform compensation work, paired with a sharp instinct for data privacy, governance, and the downstream implications of how sensitive data is handled. Comp expertise Know your craft — Solid foundation in job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, and pay-for-performance design. Be rational — Ability to balance deep comp knowledge with business solutioning from a first-principles viewpoint. Operational & partnership excellence Build innovatively & scale effectively — Create frameworks and solutions that not only solve today’s issues but anticipate future needs. Operational capability — Connect the dots between systems, players, and programs to seamlessly deliver compensation analytics and tooling. Savvy collaborator & trusted advisor — Comfortable leading conversations with Finance and senior leadership, navigating at times competing priorities and opinions, and supporting sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations. Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed be…