People Data Analytics Lead

🕒 June 12

🇺🇸 United States – Remote

💵 $180k - $270k / year

⏰ Full Time

🟠 Senior

📉 Data Analyst

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Harvey

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

⚖️ Legal

🏢 Enterprise

💰 $80.6G Series B on 2023-12

Artificial Intelligence • Legal • Enterprise

Harvey is a professional class AI solution tailored specifically for law firms, professional service providers, and Fortune 500 companies. It offers a suite of domain-specific tools that enable users to delegate complex tasks in natural language to a customized personal assistant. Harvey's platform facilitates rapid research with grounded results across legal, regulatory, and tax domains, while also providing secure project workspaces for document analysis through generative AI. With a focus on enterprise-grade security and industry-leading AI models, Harvey aims to streamline workflows and free professionals, such as lawyers, from mundane tasks, enabling them to concentrate on strategic and advisory roles.

📋 Description

• 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 so the right people have the right access • 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 — built to explain not just *what* is happening but *why* • Move People Analytics beyond reporting into intervention — surface leading indicators, manager behaviors, operational friction, and emerging org risks before they become scaled people problems, and help Harvey understand what attracts, enables, retains, and risks losing exceptional talent • Build dashboards that give leadership clear visibility into the workforce, cuttable by org, region, and function — and shape exec-level decisions with the insights they surface • 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 without routing every question through analytics • 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 — this is a role where AI-first thinking compounds fast

🎯 Requirements

• 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 — not just executing within an established one • Strong SQL — you can write complex queries, validate data quality, and collaborate fluently 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; you understand how people data is structured in an HRIS and what breaks it • Experience mentoring or upskilling partner teams on data practices, dashboards, or self-serve reporting • AI-native workflows — you use AI tools daily, build with them, and use them as force multipliers • A self-starter attitude and the ability to thrive in ambiguous, fast-paced environments • Communicates persuasively with executives — frames data into recommendations leaders act on.

🏖️ Benefits

• Comprehensive health, dental and vision coverage • Retirement benefits (401k match up to 4%) • Flexible PTO