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# Data Lead

- **Company:** STEPFUL, INC.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Salary:** $180,000.0 - $210,000.0
- **Contract:** Permanent contract
- **Skills:** A/B Testing, Artificial Intelligence, Airflow, BigQuery, Concurrent Versions System (Software), Information Engineering, Data Governance, Data Warehousing, Python (Programming Language), Program Design Languages, SQL Databases, Business Intelligence Development Studio, Snowflake, Juniper, Looker Analytics
- **Published:** October 31, 2026
- **Apply:** https://www.careerbuilder.com/job-details/data-lead-new-york-ny--7de5aa4a-f331-4f9c-b36f-220443023346

## About the Role

* 7+ years of data experience across analytics and data engineering, with at least 2+ years managing a team
 * Proven success as a player-coach - you set direction and manage people while still shipping your own work
 * Expert-level SQL and strong Python, with hands-on experience across the modern data stack (e.g., dbt, Snowflake/BigQuery, Airflow, Looker/Metabase)
 * Strong product and business sense - you connect data work to outcomes, not just deliverables
 * Experience designing and analyzing experiments in a high-growth environment
 * Exceptional communication skills with the ability to make complex findings clear to non-technical stakeholders

Bonus points if:

 * Youve built or scaled a data function at an early or growth-stage startup
 * Youve worked with marketing attribution or funnel analytics at scale
 * Youve worked in EdTech, healthcare, or another mission-driven industry

## Description

This role reports directly to the SVP, Engineering and partners closely with Growth, Product, Operations, and Finance across the organization.

This is a hybrid opportunity based out of our NYC office, requiring three days/week (Tuesday, Wednesday, Thursday) in office.

What youll do:

 * Lead, mentor, and grow a team of three data analysts and engineers, setting the standard for rigor and craft
 * Own Stepfuls data platform end to end - pipelines, warehouse, transformation layer, and BI tooling - and its reliability and scalability
 * Define and maintain the companys core metrics across the student journey (enrollment, engagement, completion, certification, placement) and business performance (CAC, LTV, retention)
 * Build dashboards and self-serve analytics that put trustworthy data in every teams hands
 * Partner with Growth and Product on experimentation - design, instrumentation, and analysis of A/B tests
 * Deliver deep-dive analyses that shape strategic decisions, from program design to budget allocation
 * Stay hands-on: write production SQL and Python, review your teams work, and take on the hardest technical problems yourself
 * Establish data governance and quality practices that scale with the company