Sr. Manager, Compensation Analytics & Intelligence
Lead Compensation Analytics & Intelligence at Databricks. Transform compensation data into insights and tooling, drive AI/data strategy for the function, partner with Finance on budgets, deliver competitive intelligence, and advise senior leaders on complex pay decisions. Requires deep analytics expertise, compensation knowledge, and strong partnership skills.
About the job
Impact You Will Have
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
Analytics
- Data fluency: 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.
Skills
SQL, Excel, Google Sheets, Tableau, Python, AI, Compensation Analytics, Market Benchmarking, Budget Forecasting, Data Governance, BI Tools
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