Sr. Manager, Compensation Analytics & Intelligence
About the role
The role of Compensation Analytics & Intelligence Lead at Databricks is to 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.
Responsibilities
- 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.
Qualifications
- Analytic Data Fluency - Exceptional analytical skills with a proven ability to transform raw, complex data into insights, tooling, and recommendations. 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.
- Know Your Tools - 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 - Solid foundation in job architecture, comp frameworks, market pricing, year-end and midyear pay cycles, global compensation practices, and pay-for-performance design. 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, Benefits & Schedule
The pay range for this role is listed below and represents the expected base 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. For more information regarding which range your location is in visit our page here.
- Zone 1 Pay Range: $217,800—$299,550 USD
- Zone 2 Pay Range: $196,100—$269,600 USD
- Zone 3 Pay Range: $185,200—$254,650 USD
- Zone 4 Pay Range: $174,200—$239,600 USD
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.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.