Senior Manager Data Analytics - USFHP

Responsibilities

• Partner with service area strategy leads, service line leaders, executives, and operational stakeholders to deliver high-impact analytical insights.
• Provide strategic and data-driven support across a range of healthcare-focused analyses, including market share evaluation, service line performance, requirements analysis, competitor benchmarking, and regulatory-related reporting.
• Leverage a strong understanding of healthcare systems, payer-provider dynamics, and utilization management to serve as a subject matter expert and thought leader.
• Contribute to the development and advancement of health plan reporting and strategic initiatives by interpreting complex healthcare data and translating it into actionable insights that drive organizational decision-making.
• Guide the design, optimization, and governance of scalable data pipelines, ensuring data accuracy, efficiency, and consistency across reporting environments.
• Oversee the production, validation, and submission of all contractually required reports, emphasizing compliance and precision within healthcare and government-regulated environments.
• Oversee all reporting and data exchanges with the Department of Defense and its contractors, requiring familiarity with federal healthcare programs, data standards, and reporting requirements.
• Support strategic planning for enterprise data analytics, reporting frameworks, and technical roadmaps, aligning with healthcare industry best practices, regulatory expectations, and organizational priorities.
• Advance data automation capabilities and modernize reporting infrastructure to support evolving healthcare analytics needs.

Requirements

• Bachelor's Degree in Healthcare, Business, Finance, Information Systems, or a related field.
• 6 years of related experience, including gathering, analyzing, and reporting data for a wide range of internal customers in various organizational areas.
• 5 years of proven experience managing projects.
• Demonstrated expertise with complex data structures, including independent mining and data exploration, and utilizing business intelligence and data visualization software (e.g. Tableau, SAP, Business Objects/Crystal Reports, Oracle BI EE, Toad, and MS SQL Server).
• 2 years of direct leadership experience.