• Set the data roadmap • Own and execute the data and integrations roadmap aligned to product strategy • Define and prioritize core data use cases: product functionality, impact measurement, and organizational success • Anticipate scale, performance, and cost implications of data systems • Build and operate reliable data products • Define data requirements across internal teams, districts, and partners, turning needs into clear product direction • Partner with engineering, product, and research to deliver high-quality data solutions and integrations • Bring deep expertise in K–12 district data (SIS, LMS, student outcomes) and represent the perspective of district IT administrators • Ensure data quality, governance, and scale • Own data quality and sources of truth across data domains • Define KPIs and SLAs for data health, reliability, and performance • Establish governance, shared definitions, documentation, and processes that ensure reliability at scale • Enable measurement and insight • Own core organizational metrics and ensure teams have access to decision-ready data • Analyze usage, funnels, and outcomes to identify opportunities and measure impact • Increase data literacy and alignment around success metrics across the organization • Use AI to analyze data, build tools that enable others to do the same, and support AI/ML use cases in the product • Promote fast feedback loops and metrics-driven decision-making • Lead through clarity and prioritization • Ruthlessly prioritize to focus on the highest-impact work • Communicate roadmaps, risks, and tradeoffs clearly to stakeholders, including executive leadership and partners