Lead and scale a distributed data engineering organization: design and maintain cloud-native data infrastructure, build ETL/ELT pipelines and event streams, ensure data quality and observability, deliver dashboards and analytics tools, partner with product and business stakeholders, and manage analytics project prioritization and team performance.

Lead a product area end-to-end for a vertical health SaaS: deeply understand customers, prioritize roadmaps, build prototypes or production-ready features alongside engineering using AI tools, partner with design, create engineering-ready tickets, use analytics to inform decisions, and drive integrations (including payments) while establishing product best practices.