Director, BI & Data Engineering

Who We Are

Babylist is the leading registry, e-commerce, and content platform for growing families. More than 9 million people shop with Babylist every year, making it the go-to destination for seamless purchasing, trusted guidance, and expert product recommendations for new parents and the people who love them. What began as a universal registry has grown into a full ecosystem for new parents, including the Babylist Shop, Babylist Health, and a flagship showroom in Los Angeles. Hundreds of brands in baby and beyond partner with Babylist to engage meaningfully with families during one of life’s most important transitions. With over $1 billion in annual GMV, and more than $500 million in 2024 revenue, Babylist is reshaping the $320 billion baby product industry. We’re helping parents feel confident, connected, and cared for at every step. As we build the generational brand in baby, our mission remains simple: to connect growing families with everything they need to thrive.To learn more, visit www.babylist.com.

Our Ways of Working

Babylist thrives as a remote-first company, with HQ team members located across the U.S. and Canada. We meet in person twice a year—once as a company and once by department to strengthen the relationships that power our work. We show up consistently, stay purpose-driven, and achieve results —together, from anywhere.

What the Role Is

Babylist is looking for a highly experienced and strategic Director of BI & Data Engineering to lead our self-service (strategy) & data platform. This team is responsible for smooth data operations and delivering data to our business teams, analysts, and scientists. Our data platform is actively used by more than 60% of the Babylist team (~200 people), and is used across our Registry (Core Product), Shop, Health, Partnership, Marketing and Fulfillment Operations business areas. Working closely with embedded Data Analysts you make sure they have all the data to support their business areas. Together with other data leaders, you plan and execute key initiatives. Long term, you set the vision for how we evolve our technology stack to deliver a world-class data platform and self-service experience. You will report directly to the Head of Data and lead a team of 6 incredibly talented Analytics Engineers (3) and Data Engineers (3).

Who You Are

• A strategic, outcome-oriented mindset and the ability to think critically, identify opportunities, and develop innovative solutions to enhance our data platform and self-service capabilities
• Experience in articulating and implementing your vision for self-service that enables Babylist to self-serve most of their own questions. Obsessed with data maturity. You know what this looks like done well
• You have a clear and thoughtful process for hiring and developing managers and engineers. You can speak to how you have elevated individual contributors and grown leaders. You understand that the best teams consist of talented individuals who volunteer to be part of your organization
• Inspirational for top-tier engineers seeking a fast-paced data role, able to design and change the organization over time
• Clear on what a good engineering culture looks like. You can bring best practices from day one and evolve them to fit Babylist. You balance creativity and process
• You are relentlessly curious and stay on the cutting edge of data and analytics, actively tracking new technologies, vendors, and AI advancements. You maintain a strong professional network that you regularly tap into to share ideas, learn, and bring fresh insights back to your team
• Willing to roll up your sleeves and go deep on project scoping and major architecture decisions
• Excellent with written and verbal communication.  You can easily extend this beyond just Data and Engineering
• 10+ years of experience building data in roles of increasing responsibility and technical capability
• 3+ years of experience managing a team of 3 or more analytics and data engineers
• (Bonus) Experience driving cost optimization initiatives in cloud-based data platforms, including warehouse efficiency, query optimization, and storage strategy 
• (Bonus) Knowledge of event-driven architectures and tools such as Kafka or AWS SNS/SQS for building scalable, real-time data pipelines.
• (Bonus) Experience with data cataloging and metadata management tools, such as Atlan, Alation, or similar platforms, to drive discoverability, community, and governance of data assets

How You Will Make An Impact

• Own the vision, strategy, and delivery of our self-service capabilities. Ensure a world-class experience through training, well-designed and documented dat