Note: The job is a remote job and is open to candidates in USA. 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.
Responsibilities
- Own enterprise-wide compensation analytics: the market benchmarking process, total comp budget forecasting, and the analytical backbone for major program decisions
- Serve as the Compensation function’s lead on AI and data strategy
- 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
- Track market trends and spikes/cool-downs across cash, equity, and total rewards
- Provide thought partnership on major comp program design and company-wide strategic problems
Skills
- Exceptional analytical skills with a proven ability to transform raw, complex data into insights, tooling, and recommendations
- Advanced capabilities required in gSheets and Excel
- Genuine enthusiasm and sound judgment for how AI can responsibly transform compensation work
- Sharp instinct for data privacy, governance, and the downstream implications of how sensitive data is handled
- 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
- Create frameworks and solutions that not only solve today's issues but anticipate future needs
- Connect the dots between systems, players, and programs to seamlessly deliver compensation analytics and tooling
- Comfortable leading conversations with Finance and senior leadership
- Navigating at times competing priorities and opinions
- Supporting sensitive, high-stakes compensation decisions with sound judgment and data-backed recommendations
- 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
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