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# Head of Data

- **Company:** FI INC.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Salary:** $150,000.0 - $300,000.0
- **Contract:** Permanent contract
- **Skills:** Airflow, Data Analysis, Information Engineering, Firmware, SQL Databases, Tableau (Software), Snowflake, Apache Spark, Looker Analytics, Databricks
- **Published:** September 7, 2026
- **Apply:** https://www.builtincolorado.com/job/head-data/11033798?handler=ApplyRedirect

## About the Role

* 7+ years in analytics, business intelligence, data engineering, or analytics engineering, including time as the person who built or substantially rebuilt a data function
 * Experience leading analysts - formally or as a player-coach - with a real point of view on how to develop them
 * Deep SQL, plus hands-on work in a modern warehouse and orchestration stack (Databricks, Snowflake, Spark, Airflow, dbt or similar)
 * Fluency in dimensional and event-driven modeling, and clear opinions on ELT tradeoffs, incremental builds, and cost control
 * Strong BI craft in Looker, Tableau, Mode, or equivalent - you build for the stakeholder, not the demo
 * Comfort partnering with Finance on models that carry real consequences: forecasts, diligence materials, margin analysis
 * Ability to work in ambiguity at Series B scale, where you'll sometimes be the entire data team for a given problem

## Description

* Own Fi's data platform and analytics roadmap: model our device, membership, and operational data into pipelines and warehouse layers the whole company can build on
 * Design and maintain event-driven, incremental pipelines over raw device telemetry - turning millions of collar signals into usable product and fleet data models
 * Manage, coach, and grow a team of four analysts; run their pipeline of work, unblock them technically, and raise the bar on rigor and documentation
 * Partner with Finance on subscription and unit economics: membership forecasting, retention and LTV modeling, hardware margin, and the reporting our board and investors see
 * Partner with Product and Hardware on activation, engagement, and device performance analytics - including the sensor and firmware data behind features customers actually feel
 * Build self-serve BI that stakeholders genuinely use, rather than a dashboard graveyard
 * Design and read experiments on pricing, onboarding, and retention, and hold the org to honest interpretation of results
 * Shift the data team from a ticket-taking service function into a strategic partner embedded in the business


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