People Data Analytics Lead

What You'll Do

• Build a cohesive view of Harvey's employee lifecycle — connecting recruiting, onboarding, engagement, performance, mobility, retention, and exits into a single, actionable narrative that shows where exceptional talent thrives or breaks down
• Own the vision and roadmap for Harvey's people data infrastructure — partner with Data Engineering and Security to stand up the people data layer in Snowflake (or similar), define architecture requirements, and drive role-based access controls and data governance
• Consolidate workforce data across Workday, Ashby, Envoy, Culture Amp, and other HR systems, and build the data quality frameworks that keep it trustworthy at scale
• Define and maintain Harvey's people metrics dictionary — standardize how headcount, attrition, hiring, and workforce trends are measured across the org
• Design the frameworks and methodologies that scale beyond v1 — forecast headcount, model attrition, segment the org, benchmark against market
• Move People Analytics beyond reporting into intervention — surface leading indicators, manager behaviors, operational friction, and emerging org risks before they become scaled people problems
• Build dashboards that give leadership clear visibility into the workforce, cuttable by org, region, and function
• Build the self-service foundation that lets partner teams operate independently — design the frameworks, tooling, and documentation so that comp, PBPs, and other partners can surface their own insights
• Drive alignment across PBPs, RecOps, People Systems, and Finance to define reporting cadence and answer the questions that drive strategic people decisions
• Set the bar for people data craft at Harvey — define standards, review work, and grow the analytics capability of partner teams
• Use AI aggressively to automate workflows, accelerate analysis, and scale your impact

What You Have

• 7+ years in people analytics, HR data, or workforce analytics, ideally at a high-growth tech company
• Track record of building people analytics functions, frameworks, or methodologies from scratch
• Strong SQL — write complex queries, validate data quality, and collaborate with data engineers on schema design and transformation logic
• Hands-on experience with a cloud data warehouse (Snowflake strongly preferred)
• Experience with at least one data viz tool (Looker, Tableau, Power BI, or similar)
• Direct Workday (HRIS) and ATS experience
• Experience mentoring or upskilling partner teams on data practices, dashboards, or self-serve reporting
• AI-native workflows — use AI tools daily, build with them, and use them as force multipliers
• Self-starter attitude and ability to thrive in ambiguous, fast-paced environments
• Communicates persuasively with executives — frames data into recommendations leaders act on