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System VP Revenue Cycle Analytics & Performance
CommonSpirit Health
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Chicago, United States
Location
Chicago
Posted
June 27, 2026
Commute
Local Area
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Job Description
**Job Summary and Responsibilities**
As our System VP Revenue Cycle, National Analytics and Performance, you will strategically oversee all revenue cycle analytics and performance across CommonSpirit. This leadership position is critical for delivering accurate, actionable insights, optimizing financial outcomes, and ensuring robust data governance, consistency, and scalability across our enterprise revenue cycle functions. We're looking for a visionary to transform our data utilization and drive superior operational and financial performance.
Every day you will lead analytics, performance data, and automation initiatives, ensuring precision and impact across the revenue cycle. You'll manage application optimization, develop contract modeling, and oversee revenue cycle financial management. Partnering with national and regional operations, finance, and IT teams, you'll align data capabilities with strategic priorities, fostering data-driven decision-making and continu...
As our System VP Revenue Cycle, National Analytics and Performance, you will strategically oversee all revenue cycle analytics and performance across CommonSpirit. This leadership position is critical for delivering accurate, actionable insights, optimizing financial outcomes, and ensuring robust data governance, consistency, and scalability across our enterprise revenue cycle functions. We're looking for a visionary to transform our data utilization and drive superior operational and financial performance.
Every day you will lead analytics, performance data, and automation initiatives, ensuring precision and impact across the revenue cycle. You'll manage application optimization, develop contract modeling, and oversee revenue cycle financial management. Partnering with national and regional operations, finance, and IT teams, you'll align data capabilities with strategic priorities, fostering data-driven decision-making and continu...