# Head of Data

**Company:** [RentSpree](https://hotfix.jobs/companies/rentspree)
**Location:** Seattle, WA
**Role:** Data Science
**Salary:** $250k – $280k/yr
**Experience:** 8+ years
**Skills:** SQL, Python, BigQuery, dbt, Dataform, Machine Learning, Data Governance, Data Warehousing, Experimentation, Semantic Layer, Data Quality Monitoring, Access Controls
**Posted:** 2026-08-28

> Leads RentSpree’s unified Data organization across engineering, science, analytics, and strategy, while shaping ML products, governance, experimentation, and self-service analytics. Requires 7+ years in data, senior people leadership, production ML experience, and strong SQL and modern data-stack fluency.

## Job Description

## Responsibilities
- Lead Data Engineering, Data Science, Analytics, and Data Strategy as a unified organization.
- Partner with executives and Product to drive product strategy and define the data capabilities needed to support the roadmap.
- Own the strategic data asset and machine-learning roadmap, including pricing, lead scoring, propensity, and screening-risk use cases.
- Build the go-to-market data foundation, including unified customer profiles, segmentation, and journey tracking across Marketing, Sales, and Customer Success systems.
- Establish company-wide experimentation standards, from experiment design and success metrics through causal analysis.
- Directly manage Business Analysts and Data Scientists; review work and code quality, set analytical standards, prioritize requests, and guide project scoping.
- Own analytics self-service, semantic-layer improvements, and AI-powered tooling adoption across business, GTM, and Finance teams.
- Lead Data Engineering through the Data Engineering Manager, including warehouse architecture, pipeline priorities, cost, governance, and reliability.
- Scale the Data organization through hiring, coaching, career development, governance, and data-quality standards.
- Promote data literacy and insight adoption across Product, Engineering, GTM, and Finance.
- Represent Data to executives and the Board, translating forecasts, data requests, and OKRs into an executable roadmap.
- Own vendor and tooling strategy for the analytics stack.

## Requirements
- 7+ years of experience in data, including 3+ years directly leading an Analytics or Data Science team.
- Experience hiring, reviewing work, and setting quality standards for data teams.
- Experience leading or partnering closely with Data Engineering, including warehouse architecture and pipeline priorities.
- Experience shipping and operating machine-learning features in production.
- Fluency with modern data-stack tools, including BigQuery or an equivalent warehouse, dbt or Dataform, and an experimentation platform.
- Hands-on SQL and Python proficiency sufficient to review team work.
- Experience partnering with Engineering, Product, Design, Finance, and executive stakeholders to drive data-informed strategy.
- Experience building or scaling self-service analytics while maintaining a single source of truth for metric definitions.
- Experience establishing data governance practices, including stewardship, quality monitoring, and access controls.
- Excellent communication skills for explaining technical topics to nontechnical audiences.
- Ability to balance strategic leadership with hands-on technical involvement.

## Nice-to-haves
- Experience in B2B2C or platform/marketplace products.
- Background in fintech, proptech, real estate technology, or property/marketplace data.
- Experience governing an internal AI/LLM tooling layer.
- Experience managing globally distributed teams across the United States and Southeast Asia.

## Compensation and Benefits
- Base salary: $250,000–$280,000.
- Equity participation.
- Medical, dental, and vision coverage from day one, with HSA/FSA options.
- Life and disability coverage and a SIMPLE IRA with company match.
- Flexible vacation, 11 holidays, and 3 recharge days.
- Parental leave, fertility benefits, legal benefits, and tax support.
- Business expense allowance, internet reimbursement, and Seattle transit support.

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