Director of Data Analytics; E-Commerce

We are seeking a Director of Data Analytics to join our Information Technology team. Reporting to the Chief Financial Officer, this role manages a team of four individual contributors and the team is based out of our office in Burlington, Massachusetts, where we work in-office Monday through Thursday each week, and remotely on Fridays. Team members must reside within or be willing to relocate to a commutable distance from our Burlington office.

• Strategic Data, Analytics & Data Science Leadership and Business Alignment
• Set the vision and lead the charge on an enterprise-wide data and analytics strategy, one that fuels growth, sharpens customer value, and powers operational excellence at scale.
• Work shoulder-to-shoulder with executive leadership to ensure data priorities align with transformation goals and the next wave of market opportunity.
• Champion a data-first culture by embedding insight into the everyday, from frontline decisions to boardroom conversations and long-range planning.
• Architect and execute a multi-year roadmap for enterprise data, BI, and data science, including platform modernization, third-party data integration, and the tools that will scale with the business.
• Drive adoption of modern data platforms, BI, and advanced analytics (AI/ML) to move the organization from hindsight to foresight; enabling faster, smarter decisions across the enterprise.
• Design and deliver performance dashboards and decision tools that not only report the numbers but shape the strategy with the right KPIs to accelerate action.
• Oversee seamless data integration, quality control, and model deployment to ensure accuracy, scalability, and real-world impact from lab to production.

• Build and lead a pragmatic, enterprise-ready data governance strategy, balancing access and protection while ensuring data is trusted, secure, and usable at scale.
• Own compliance across complex regulatory environments (e.g., GDPR, HIPAA, CCPA), staying ahead of risk while enabling innovation.
• Lead AI data enablement with integrity, overseeing privacy, quality, and responsible data use in a rapidly evolving landscape.
• Shift governance from gatekeeping to value creation, using data observability and modern tooling to drive trust, not just control.
• Organizational Capability & Talent Development
• Build and scale a world-class data organization, attracting top talent across analytics, engineering, and data science, and creating an environment where they thrive.
• Define the right blend of in-house and external resources to drive efficiency and agility without compromising quality.
• Instill a culture of experimentation, ethics, and relentless improvement, where curiosity meets business impact and insight turns into action.
• Promote data literacy across the business, equipping teams at every level to work smarter with data.
• Stakeholder & Ecosystem Engagement
• Advise the CEO and executive team with clarity and confidence, turning complex data into a guide for strategic direction.
• Act as a force multiplier across functions, aligning analytics with real business needs, from revenue growth to operational efficiency.
• Collaborate across the ecosystem, from customers and partners to vendors, to fuel innovation, create value, and extend the company’s data advantage.
• Represent the organization externally as a data and analytics thought leader, raising its profile in the industry and attracting top talent.