People Data Analytics Lead

At Harvey, we’re transforming how legal and professional services operate. By combining frontier agentic AI, an enterprise-grade platform, and deep domain expertise, we’re reshaping how critical knowledge work gets done for decades to come.

This is a rare chance to help build a generational company at a true inflection point. With 1500+ customers in 60+ countries, strong product-market fit, and world-class investor support, we’re scaling fast and defining a new category in real time. The work is ambitious, the bar is high, and the opportunity for growth — personal, professional, and financial — is unmatched.

Our team moves fast, takes ownership, and is deeply committed to the mission — operating with intensity, staying close to our customers, and pushing each other for excellence. We live by three values: Decisiveness, Simplicity, and Job's Not Finished. We act quickly on clear judgment over perfect information, we believe simplicity is what scales, and we're never satisfied with where we are. If you want to do the best work of your career alongside people who share that drive, we'd love to build with you.

At Harvey, the future of professional services is being written today — and we’re just getting started.

You'll be Harvey's founding People Data Analytics Lead — the technical leader for our people analytics function. You'll set the long-term direction for how we measure, model, and act on workforce data: building the data layer from scratch, defining the methodology others work from, and connecting the full employee lifecycle into a single, actionable view of how exceptional talent thrives at Harvey. The goal isn't just reporting — it's helping leaders understand why things are happening across the workforce and intervene before issues scale. This role sits within People Ops, with deep partnership across Total Rewards, Recruiting Ops, PBPs, People Systems, and Finance. This is a founding role — you'll build the function from scratch and, as it proves its value, grow and lead a team.

• 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 to enable source connectors (Workday, Ashby, and others), then own the data transformation (dbt) and reporting layer; 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

• Own headcount reconciliation and PID governance — define the standards for how positions are opened, edited, and closed; maintain the single source of truth across Finance, Ashby, and Workday; and own reconciliation when the numbers don't match

• 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

• 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 and hands-on dbt experience — you can write complex queries, build and own data models end-to-end, and manage your own transformation layer without relying on a central data engineering team

• Hands-on experience with a cloud data warehouse (Snowflake strongly preferred)

• Experience with at least one BI tool (Looker, Tableau, Omni, 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

$180,000 - $250,000 USD

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Harvey is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law.

We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made by emailing [email protected]