仕事内容
<p data-pm-slice="1 1 []"><small>(GAQ327R301)</small></p>
<p>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.</p>
<p>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.</p>
<h3><strong>Scope of the Role</strong></h3>
<ul>
<li><strong>AI & Data Strategy Lead (60%)</strong> — 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.</li>
<li><strong>Enterprise Program Analytics (30%)</strong> — Lead company-wide compensation analytics, overseeing total compensation budget forecasting and providing the analytical framework supporting major executive program decisions.</li>
<li><strong>Market Intelligence & Executive Reporting (10%)</strong> — Monitor, evaluate, and report on market dynamics across cash, equity, and total rewards programs through Quarterly Business Reviews (QBRs) and executive summaries.</li>
</ul>
<h3><strong>What You'll Bring</strong></h3>
<p><strong>Analytics</strong></p>
<ul>
<li><strong>Data Fluency & System Architecture</strong> — 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.</li>
<li><strong>Technical & Platform Expertise</strong> — Advanced proficiency in Go