Design and execute observational studies on claims data, measure program cost and outcomes, build Python/Spark analysis pipelines, support ML products, collaborate across teams, and document reproducible methodologies using cloud data infrastructure (BigQuery, GCS, Dataproc).

The VP of Product will lead product operations and management initiatives, optimizing processes and strategies, ensuring alignment with goals, and enhancing customer experiences while advocating for data-driven product development.