Director of Analytics (E-commerce)
Overview 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. What You’ll Accomplish 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. In addition, for this specific role, we need someone who possesses: 12 years of progressive leadership in data, analytics, or digital transformation — with a proven ability to lead at scale, drive enterprise value, and turn complexity into competitive advantage. Strong command of modern analytics tools, AI/ML applications, and big data technologies, with the judgment to separate hype from what drives real impact. Strategic thinker and operator who can move seamlessly between C-suite conversations and technical depth, translating vision into execution. Bachelor's degree in a relevant field (e.g., Business, Computer Science, Data Science); an advanced degree (MBA, PhD) is valued but not required. Relevant certifications (e.g., CDMP, CIPP, AWS/GCP/Azure) are a plus, but your experience, outcomes, and leadership presence matter most. Ready for a role that demands strategic vision, operational excellence, and the ability to lead at the intersection of data, technology, and business transformation. J-18808-Ljbffr
