Government and Infrastructure - AI and Data - Data Science Healthcare Manager
About The Position
The Data Science Manager will work closely with business stakeholders to analyze and visualize data supporting operational performance and management reporting. The role connects healthcare knowledge and data to actionable insights and requires strong analytical thinking, attention to detail, and the ability to present findings to technical and non-technical audiences. Within EY’s Government and Infrastructure Technology Consulting AI & Data practice, the manager will lead client-facing healthcare analytics work, guide technical teams, shape analytic approaches, and oversee machine-learning, AI, statistical, and decision-support solutions. The role focuses on delivering rigorous, relevant, and responsible recommendations that help government clients make decisions about healthcare operations, policy, quality, cost, readiness, and outcomes. Work may take place at client, EY, or contractor sites. Professionals are generally assigned to projects within a commutable distance of their work-location office. Travel may be required based on client and project needs; candidates should be willing to travel 20–30% or more. The role requires in-person work as needed in the Washington, DC area.
Requirements
- Bachelor’s degree.
- Must be eligible to obtain and maintain DoD Secret Clearance.
- 6–10+ years of related experience in 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, and the judgment to review coding approaches, interrogate data, and guide technical teams.
- 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 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 domains such as claims, encounters, pharmacy, eligibility/enrollment, utilization, access, cost, quality, and outcomes data.
- Understanding of healthcare privacy, security, and data governance, including PHI/PII handling, HIPAA, de-identification, and responsible AI/model governance.
- Strong consulting presence and excellent executive communication, presentation, stakeholder management, team leadership, and problem-solving skills.
- Willingness to travel 20–30% or more, as required by client and project needs.
Nice To Haves
- Bachelor’s degree or above in mathematics, information systems, statistics, computer science, or a related discipline.
- Prior experience with Military Health System (MHS) 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 of direct care and purchased care concepts.
- Experience supporting health affairs, healthcare operations, population health, clinical quality improvement, program evaluation, or strategic advisory initiatives.
Responsibilities
- Lead client-facing workstreams translating 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 examine data as needed.
- Shape analytic approaches and oversee development of ML/AI, statistical, and decision-support solutions, ensuring rigor, relevance, and responsible use.
- Synthesize findings into executive-ready recommendations, briefings, visualizations, and presentations to support client decisions on operations, policy, quality, cost, readiness, and outcomes.
- Work closely with business stakeholders to analyze and visualize data supporting operational performance and management reporting.
Benefits
- Medical coverage
- Dental coverage
- Pension plan
- 401(k) plan
- Paid time off options
- Flexible vacation policy
- EY Paid Holidays
- Winter and Summer breaks
- Personal/Family Care leave
- Other leaves of absence
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What This Job Offers
Job Type
Full-time
Career Level
Manager
