Head of Data

This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Head of Data based in the United States. The Head of Data will lead the organization's data function end to end, combining strategic leadership with hands‑on technical execution to turn data into measurable business outcomes. This role is ideal for an experienced data leader who thrives on solving complex problems, building scalable infrastructure, and directly influencing revenue, profitability, and operational efficiency.

You will oversee data strategy, engineering, analytics, reporting, attribution, and governance while prioritizing initiatives according to their financial and business impact. Working closely with executive leadership, Finance, Marketing, Operations, and a small multidisciplinary team, you will establish trusted data systems that support better decision‑making across the business. You will also champion the practical use of AI tools to accelerate development, improve productivity, and scale the team's capabilities without unnecessary complexity.

In a fast‑growing, highly regulated consumer environment, you will help build a reliable, cost‑effective, and secure data ecosystem that adapts to changing business and compliance requirements.

• Own the data strategy and roadmap, prioritizing initiatives according to their expected impact on revenue, costs, risk, and operational performance.
• Establish clear processes for intake, evaluation, and prioritization of data requests, communicating trade‑offs, capacity, and priorities to leadership and the team.
• Lead the development and maintenance of the data warehouse, pipelines, and transformation models, including Google Cloud Platform, Big Query, Dataform, and associated ingestion tools.
• Oversee dashboards, reporting infrastructure, and analytical solutions that help teams make informed, data‑driven decisions.
• Develop and maintain reliable measurement and attribution capabilities, including in‑house attribution models, incrementality testing, and server‑side conversion tracking in collaboration with Marketing.
• Ensure customer segmentation, lifecycle analytics, and email performance analysis support customer retention and revenue growth.
• Establish robust data quality controls to identify inconsistencies and prevent inaccurate information from reaching reports, dashboards, and business decisions.
• Implement data access policies and governance frameworks that protect sensitive customer information and define appropriate permissions for employees and AI agents.
• Partner with Finance to reconcile orders and revenue across e‑commerce, ERP, and financial systems while improving inventory aging analysis, demand planning, and reporting consistency.
• Evaluate the data technology stack, making defensible build‑versus‑buy decisions and consolidating or eliminating tools where doing so improves cost efficiency and operational performance.
• Establish a trusted semantic layer and certified business metrics so that dashboards, analysts, and internal AI‑powered data tools use consistent definitions and reliable figures.
• Work closely with the CEO and senior leadership to translate analytical findings into clear recommendations that influence revenue, spending, and cost decisions.
• Lead and develop a small team spanning analytics, data engineering, and analysis, while remaining actively involved in SQL, data modeling, code review, and technical problem‑solving.
• Integrate AI‑assisted development tools into daily workflows, maintaining appropriate review processes, security controls, and safeguards for production data.

• At least eight years of experience in data or analytics, including three or more years…