Government and Infrastructure - AI and Data - Data Science Healthcare Manager

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Government and Infrastructure – Technlogy Consulting - AI & Data – Data Science Manager - Healthcare From strategy to execution, the Government and Infrastructure practice of Ernst & Young provides a full range of consulting and audit services to help our Federal, State, Local and Education clients implement new ideas to help achieve their mission outcomes. We deliver real change and measurable results through our diverse, high-performing teams, quality work at the highest professional standards, operational know-how from across our global organization, and creative and bold ideas that drive innovation. We enable our government clients to achieve their mission of protecting the nation and serving the people; increasing public safety; improving healthcare for our military, veterans, and citizens; delivering essential public services; and helping those in need. EY is ready to help our government build a better working world. ​​​​EY delivers unparalleled service in big data, business intelligence, and digital analytics built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals. The opportunity The role will you to work closely with business stakeholders to analyze and visualize data that supports operational performance and management reporting activities. This role requires strong analytical thinking, attention to detail, and the ability to connect healthcare knowledge and data into actionable insights. The ideal candidate is comfortable presenting findings to technical and non-technical audiences.   Your key responsibilities

Lead client-facing workstreams that translate health affairs, healthcare operations, and policy questions into actionable analytics, AI/ML, and data strategy recommendations Guide teams using Python, R, or SQL to profile, transform, and analyze large healthcare datasets, while remaining hands-on enough to review methods, interrogate outputs, and dive into the data when needed Shape analytic approaches and oversee the development of ML/AI, statistical, and decision-support solutions, ensuring rigor, relevance, and responsible use rather than serving solely as the day-to-day developer Synthesize findings into clear executive-ready recommendations, briefings, visualizations, and presentations that help clients make decisions on operations, policy, quality, cost, readiness, and outcomes

Skills and attributes for success

Familiarity with Python, R, or SQL, with the judgment to review coding approaches, interrogate data, and guide technical teams, even when not acting as the primary day-to-day developer Experience advising clients on data, analytics, and ML/AI use cases, including translating business, policy, or operational questions into practical analytic approaches and decision support Strong data analyst and data scientist skillset: exploratory analysis, hypothesis testing, dashboarding and reporting, data visualization, segmentation, and data storytelling Ability to move from ambiguous client questions to structured requirements, analytic roadmaps, and actionable recommendations while balancing technical rigor with stakeholder needs Working knowledge of healthcare data ecosystems and common domains such as claims, encounters, pharmacy, eligibility/enrollment, utilization, access, cost, quality, and outcomes data