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Bevi

Head of Data

Bevi, Charlestown, Massachusetts, United States, 02129

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Head Of Data

Bevi is on a mission to transform how beverages are delivered and consumed. Our smart hydration systems eliminate the need for single-use bottles and cansmaking it easy, fun, and sustainable to stay hydrated. As the category leader in IOT-enabled beverage technology, we're building a future where Bevi machines are everywhere people live, work, and connect. We've raised over $160M in venture capital, serve thousands of customers across the US, Canada, UK and Ireland, and we've been rapidly growing year over year. In addition to driving hypergrowth with our current product line, Bevi is heavily investing in new product development. 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.