Sr. Compensation Manager, R&D

<p data-pm-slice="1 1 []">GAQ127R143</p> <p data-renderer-start-pos="1648">While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered.</p> <p>Databricks is seeking a strategic and experienced compensation lead to serve as a trusted partner to founders and senior leadership in our R&D org (technology and product teams). This is a key role on the Compensation function at Databricks, reporting to the Senior Director of Compensation. This role will support long-term business objectives by working within the overall Compensation philosophy to co-create compensation models that help attract, retain and motivate world-class technical talent.</p> <p>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 with a solid foundation and history of success in doing just that!</p> <h3><strong>Scope of the role</strong></h3> <p>This is a hands-on, high-impact role that will effectively cover below areas and the anticipated time spent on each:</p> <ul> <li>Compensation solutioning for R&D Talent (40%)</li> <li>Managing Compensation processes through the employee life cycle (30%)</li> <li>Contributing to building and delivering enterprise-wide compensation programs/ frameworks (30%)</li> </ul> <p><strong>Requirements</strong></p> <p>We’re looking for someone who has the following muscles:</p> <p><strong>Comp expertise</strong></p> <ul> <li>Know your craft - Job architecture, Comp frameworks, Market pricing, Year-end and Midyear pay cycle, global compensation practices, pay for performance design </li> <li>Know your data - Exceptional analytical skills with the ability to synthesize complex data into clear outputs and recommendations. Analyze competitive trends in cash, equity, and total rewards to inform decision-making and tradeoffs. Advanced capabilities required in gSheets, excel. We’ll love it if you know tableau, SQL, python or have used AI for comp analytics though not a requirement</li> <li>Know the competition - Deep expertise in tech compensation practices, especially around new-hire and refresh equity strategies in the tech sector</li> <li>Be rational - Ability to balance comp knowledge with business solutioning from a first principles viewpoint. </li> </ul> <p><strong>Operational and partnership excellence</strong></p> <ul> <li>Build innovatively & scale effectively - create innovative frameworks/solutions to not just solve today’s issues but also thinking ahead and anticipating future needs</li> <li>Operat