Sr. Manager, Compensation Analytics & Intelligence

Databricks•San Francisco, CA

3d•$174,200 - $299,550

About The Position

Databricks is shaping the future of data and AI, and building world-class engineering teams requires world-class talent strategy. This role serves as the central driver for compensation intelligence and analytics, empowering faster, highly informed, and consistent organizational decision-making through data-driven insights. Reporting directly to the VP of Total Rewards, this is a strategic builder’s role tailored for an expert operating at the intersection of compensation, advanced analytics, data engineering, and business strategy.

Requirements

Core competency in transforming complex, unstructured datasets into actionable business insights, predictive tooling, and strategic recommendations.
Capability to synthesize numbers into cohesive narratives and build scalable systems designed to anticipate future business needs.
Advanced proficiency in Google Sheets and Excel.
Strong working knowledge of SQL.
Hands-on experience with business intelligence platforms (e.g., Databricks) is highly preferred.
Proficiency in Python and practical application of AI in compensation analytics are significant advantages.
Demonstrated commitment to leveraging AI to responsibly enhance compensation processes, combined with a strict adherence to data privacy, confidentiality, governance, and compliance protocols.
Deep expertise in job architecture, compensation structures, market benchmarking, merit and equity review cycles, offer structuring, and financial modeling.
Proven ability to translate business requirements into pragmatic compensation strategies.
History of partnering effectively with Finance and senior leadership, navigating complex stakeholders, and guiding high-stakes decisions with sound judgment and data-backed recommendations.

Nice To Haves

Hands-on experience with business intelligence platforms (e.g., Databricks)
Proficiency in Python
Practical application of AI in compensation analytics

Responsibilities

Serve as the lead subject matter expert on AI and data strategy within the Compensation function.
Collaborate closely with People Intelligence and IT teams to design, architect, test, and deploy automated workflows and AI-driven solutions across core compensation processes.
Lead company-wide compensation analytics, overseeing total compensation budget forecasting and providing the analytical framework supporting major executive program decisions.
Monitor, evaluate, and report on market dynamics across cash, equity, and total rewards programs through Quarterly Business Reviews (QBRs) and executive summaries.