Build and maintain dbt-based data transformations, analytics models, ELT workflows, testing, and data quality processes. Collaborate with analysts, engineers, and stakeholders to support reporting, self-service exploration, governance, and business decision-making. Troubleshoot data issues, document workflows, evaluate analytics tools, and contribute to scalable data practices using a modern cloud data stack.

Own the product vision, strategy, roadmap, prioritization, and lifecycle for solutions supporting caregiving members, internal care teams, and clients. Lead user discovery, interviews, experiments, data analysis, requirements definition, and cross-functional execution with engineering, design, and data teams. Identify opportunities for AI and emerging technologies, define success metrics, track performance, and deliver high-impact products from ideation through launch and sunset.