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Ernst & Young

Provides consulting, assurance, and tax services

Data Science Manager - Healthcare - AI and Data

Data ScienceConfirmed live in the last 24 hours
Full-time$142.8k - $297.5k

About the Job

Requirements

  • Must have a bachelor's degree.
  • Must be eligible to obtain and maintain Department of Defense Secret clearance.
  • Must have 6–10+ years of related experience with analytics, data science, healthcare data, health policy, health programs, payer/provider analytics, or public sector health mission.
  • Must be comfortable working in person as needed in the Washington, DC area.
  • Familiarity with Python, R, or SQL, including the judgment to review coding approaches, interrogate data, and guide technical teams even when not serving as the primary day-to-day developer.
  • Experience advising clients on data, analytics, and machine learning/artificial intelligence use cases, including translating business, policy, or operational questions into practical analytic approaches and decision support.
  • Strong data analyst and data scientist skills, including exploratory analysis, hypothesis testing, dashboarding and reporting, data visualization, segmentation, and data storytelling.
  • Ability to turn ambiguous client questions into 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.
  • Understanding of healthcare privacy, security, and data governance concepts, including protected health information/personally identifiable information handling, HIPAA, de-identification, and responsible AI/model governance.
  • Experience with mathematics, information systems, statistics, computer science, or related disciplines at the bachelor's level or above is preferred.

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; review methods, interrogate outputs, and dive into the data as needed.
  • Shape analytic approaches and oversee development of machine learning/artificial intelligence, statistical, and decision-support solutions, ensuring rigor, relevance, and responsible use rather than serving solely as the day-to-day developer.
  • Synthesize findings into executive-ready recommendations, briefings, visualizations, and presentations to help clients make decisions about operations, policy, quality, cost, readiness, and outcomes.

Desired Qualifications

  • Prior experience with Military Health System data, MHS GENESIS, MHS Data Repository (MDR/M2), TRICARE, Defense Health Agency data, or other federal health datasets.
  • Experience working with tri-service or readiness-related data and understanding direct care and purchased care concepts.
  • Experience supporting health affairs, healthcare operations, population health, clinical quality improvement, program evaluation, or strategic advisory initiatives.

About the Company

Ernst & Young

Provides consulting, assurance, and tax services

EY (Ernst & Young) is a global professional services firm that provides consulting, assurance, tax, and transaction advisory services across industries such as energy, healthcare, financial services, and real estate. Its work centers on helping clients solve critical business challenges by offering high-value advisory support in areas like supply chain, cybersecurity, sustainability, and digital transformation; revenue comes from fees for consulting, audit, and advisory services. What sets EY apart is its breadth of services across multiple disciplines, deep industry knowledge, and emphasis on thought leadership and research to inform clients’ strategic decisions. The firm aims to help organizations improve operational efficiency, navigate regulatory environments, and stay ahead of market trends by delivering practical, evidence-based guidance and execution support.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
Boston, MA
Founded
1991

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