Head of Data for DTC E-commerce Brand (Remote, US-based)

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About Our Clients

Our client is a fast-growing direct-to-consumer (DTC) e-commerce brand focused on building high-quality consumer products and scaling globally through data-driven decision making. As the company continues to expand across marketing, retention, operations, and customer experience, they are looking for a Head of Data to lead the company’s data strategy and establish a unified performance framework across the organization.

This role will work closely with executive leadership and department heads to turn data into predictive insights that guide strategic decisions across the business.

Responsibilities

• Define and implement the company-wide KPI framework aligned with revenue, retention, contribution margin, and cash flow.
• Establish and maintain a single source of truth across all reporting systems and data platforms.
• Build predictive models for key business metrics such as LTV, churn, CAC efficiency, inventory demand, and cash flow forecasting.
• Identify leading indicators that signal performance shifts before they impact revenue.
• Lead weekly cross-functional KPI reviews with department heads, highlighting risks, trends, and opportunities.
• Translate complex data insights into clear, actionable recommendations for marketing, operations, finance, and customer experience teams.
• Design and implement measurement frameworks for marketing experiments, pricing tests, and retention initiatives.
• Ensure statistical rigor in experimentation and provide clear readouts to guide scaling decisions.
• Own and optimize the company’s data stack, including BI tools, data warehouse architecture, and integrations.
• Improve reporting automation and eliminate manual reporting processes by implementing scalable data infrastructure.

Requirements:
• 7+ years of experience in data analytics, data science, or business intelligence, preferably within DTC, e-commerce, or consumer brands.
• Strong understanding of DTC metrics such as CAC, LTV, cohort analysis, retention, contribution margin, and marketing efficiency.
• Proven experience building predictive models and forecasting frameworks that inform strategic decision-making.
• Advanced proficiency in SQL and data analysis tools, with experience using programming languages such as Python or R.
• Experience working with modern data stacks (e.g., Snowflake, BigQuery, dbt, Looker, Tableau, or similar BI platforms).
• Demonstrated ability to work cross-functionally with leadership teams across marketing, finance, operations, and product.
• Strong communication skills with the ability to translate complex data insights into clear business recommendations.
• Experience leading KPI reviews or performance reporting processes across multiple departments.
• Experience in a high-growth startup or DTC environment is highly preferred.

Benefits:
• Competitive USD salary – Earn between $150,000 and $200,000 per year, depending on experience and expertise.
• Remote flexibility – Work remotely while collaborating with a globally distributed team.
• Strategic leadership role – Direct exposure to executive leadership and key decision-making processes.
• Opportunity to build and scale the company’s data strategy and infrastructure from the ground up.