• Own the product vision and roadmap for HubSpot’s usage data platform, shaping how teams instrument, discover, and operationalize product usage data. • Define and evolve the systems that power HubSpot’s event pipeline and analytics infrastructure, ensuring data is reliable, governed, trustworthy, and scalable across hundreds of teams. • Treat data as a product by establishing clear data models, instrumentation standards, and lifecycle governance that enable trustworthy analytics, experimentation, and AI-driven applications. • Partner with Engineering, Analytics, Product Operations, Machine Learning, and Design teams to build tools that power HubSpot’s analytics ecosystem, experimentation platform, recommendation systems, and engagement initiatives. • Improve how internal teams explore and operationalize usage insights by enabling clearer metrics, streamlined workflows, and self-service analysis without sacrificing governance or data quality. • Lead complex platform initiatives from concept through implementation and adoption, balancing technical constraints with product and business outcomes. • Serve as a subject matter expert on product usage data, helping teams understand how instrumentation, experimentation, and analytics systems work together to drive customer outcomes. • Align diverse stakeholders across the company, driving progress in ambiguous environments and delivering initiatives with clarity and speed.