Head of Data

We are seeking a Head of Data to build and scale our data function, ensuring that our data infrastructure, analytics, and insights drive mission-critical decisions across the company. This role is responsible for both Analytics Engineering (ensuring robust data pipelines and systems) and Analytics (deriving insights and supporting strategic decision-making).

Reporting directly to the CFO, this leader will work cross-functionally with product, marketing, operations, finance, and the executive team to ensure our data systems are seamlessly integrated and that data is at the core of every decision we make.

What You’ll Do

• Develop and implement a comprehensive data strategy – Establish a clear roadmap for data infrastructure, analytics, and insights to align with business objectives.
• Own and optimize data architecture – Ensure our data systems are well-connected, scalable, and reliable, enabling seamless flow of accurate, timely data across the organization.
• Lead both Analytics Engineering & Business Analytics – Oversee data pipeline development, modeling, and warehousing while also driving insights through analysis, experimentation, and reporting.
• Enable a data-driven culture – Get hands-on with SQL and analytics, identifying key trends and turning raw data into actionable insights that drive product, marketing, and operational decisions.
• Shape and track company-wide goals – Build deep relationships with senior leadership, proactively anticipating data needs, defining KPIs, measuring progress, and delivering insights and strategic recommendations that drive decision-making.
  

Build and scale a high-impact data team – Hire, mentor, and develop a team of analytics engineers and data analysts, ensuring the team evolves with the company's needs.

Requirements

• 10+ years of data experience, including at least 5 years leading teams across technical and advisory skillsets.
• Strong technical expertise in SQL, data modeling, and data visualization tools.
• Experience in Analytics Engineering (building data pipelines, ETL processes, data warehouses) and Analytics/ Business Intelligence (reporting, A/B testing, predictive modeling).
• A track record of successfully connecting data systems to create a single source of truth across an organization.
• Experience leading and scaling data teams in high-growth, fast-paced environments.
• Demonstrated ability to work cross-functionally with stakeholders across product, marketing, operations, finance, and executive leadership.
• Strong communication and leadership skills, with the ability to translate complex data concepts into actionable business insights.