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Head of Data

Job in Seattle, King County, Washington, 98127, USA
Listing for: Rippling, Inc.
Full Time, Part Time position
Listed on 2026-10-08
Job specializations:
  • IT/Tech
    Data Analyst, Data Engineering, Business Intelligence, Data Science Manager
Salary/Wage Range or Industry Benchmark: 250000 - 280000 USD Yearly USD 250000.00 280000.00 YEAR
Job Description & How to Apply Below

Renting should be faster, fairer, and less stressful than it is. We're the infrastructure that makes that happen. Four million users. 300+ real estate company and MLS partnerships. Ten years of consistent growth. From applications and screening to payments and lease management, the full rental journey runs on Rent Spree. Recognized by Forbes as a Best Startup Employer and by Built In Seattle as a Best Place to Work.

Head

of Data - Seattle (hybrid, 2x/week in-office) - Paid relocation available

Rent Spree is looking for a Head of Data to lead our Data organization, reporting directly to the CTO. In this role, you'll own Data Engineering, Data Science, Analytics, and Data Strategy as a single org and turn our data into one of Rent Spree's core competitive advantages: proprietary rental data and ML-driven products that are unparalleled in the marketplace.

As a key member of the engineering leadership team, you'll define what Rent Spree's data should do for the business, not just what dashboards it produces — from strategic data assets and ML to governance, data culture, and team growth.

This is a player-coach role. You will manage managers and still be fluent enough in SQL and data warehouse design to review a model, question a metric definition, and be credible both with your own analysts and in front of the executive team.

You'll operate across our globally distributed teams in Seattle and Bangkok, bringing clarity, accountability, and a strong bias for action to everything you do.

This position is hybrid (2 days/week) based in our Seattle office.

What You’ll Do
  • Partner with Executives and the Product team to drive product strategy through data. Translate company vision into the data capabilities needed to support it, and invest ahead of the product roadmap to keep our Data Platform modern
  • Own the strategic data asset & ML roadmap
    : take our early data-asset initiatives from keystone use cases to a real architecture decision, and decide where ML earns its keep across pricing, lead scoring, propensity, and screening risk
  • Build the GTM data foundation
    : define and own the unified customer profiles, segmentation, and journey tracking that Marketing, Sales, and Customer Success all run on, and make sure it reaches the systems they actually work in - campaign tools, the CRM, and in-product surfaces
  • Own how we measure impact
    : set the company-wide standard for the experimentation lifecycle, from design and success-metric definition through causal readout, balancing speed with rigor and long-term hygiene
  • Lead the Analytics team directly
    : manage our Business Analysts and Data Scientists, review their work and code quality, set the analytical rigor bar, prioritize the request queue, and guide how they scope and initiate their own projects
  • Own Analytics Self-serve
    : continue improving our semantic layer and AI-powered self-serve tooling that keep routine requests off your analysts' plates, and drive adoption across our business verticals, GTM, and Finance — treating adoption as the deliverable, not just the tooling
  • Lead Data Engineering through our Data Engineering Manager, who owns our Bronze/Silver/Gold pipeline architecture, warehouse cost and governance, and platform reliability
  • Scale the Data organization
    : set the governance and quality standards that let us grow safely, and build the team through hiring, coaching, and career development across all data disciplines
  • Cultivate Rent Spree’s data-driven culture by driving data literacy and insight adoption across Product, Engineering, GTM, and Finance, not just building tools and waiting for people to use them
  • Represent Data to executives and the Board
    , translating forecasts, board data requests, and OKR targets into a roadmap the team can execute against
  • Own…
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