• Engaging with sales leads as a “human explicability layer,” up-leveling understanding for non-technical audiences to ensure that complex underwriting results are communicated clearly to drive sales. • Validating and maintaining the data pipelines and collateral shared between the Data Science and growth teams. • Helping us refine the competitiveness of our value-based care contracts by anticipating stakeholder needs and providing strategic guidance. • Ensuring quality and availability of various data sources. • Leveraging a deep understanding of ML concepts to consult on the application of payment models. • Designing and engineering analytics tooling to stress-test our underwriting outputs. • Evaluating vendors and technologies to help us better understand our customers and the market.