AVP Revenue Cycle Innovation and Advanced Analytics-21454 Join to apply for the AVP Revenue Cycle Innovation and Advanced Analytics-21454 role at Rush University Medical Center . Location: Chicago, Illinois Business Unit: Rush Medical Center Hospital: Rush University Medical Center Department: Revenue Cycle Work Type: Full Time (Total FTE between 0.9 and 1.0) Shift: Shift 1 Work Schedule: 8 Hr (9:00:00 AM - 5:00:00 PM) Pay Range: $101.62 - $170.72 per hour Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case. Summary The System Associate Vice President (AVP), Revenue Cycle Innovation and Advanced Analytics will lead the future of revenue cycle through innovation, data, and advanced technology. This role will centralize the organization’s innovation strategy, harness analytics for actionable insights, and optimize technology investments. The AVP will empower leaders with predictive and performance-driven tools, positioning the revenue cycle to thrive in a value-driven healthcare landscape. This role provides strategic leadership for advancing the use of data, automation, and technology across all areas of the revenue cycle. This role is responsible for designing and executing enterprise-wide analytics and innovation strategies that improve financial performance, increase operational efficiency, and support value-based care initiatives. The AVP oversees the development of predictive models, AI tools, KPI dashboards, and advanced automation solutions that enable insight-driven decision-making. This leader partners with cross-functional stakeholders in technology, clinical operations, finance, and digital health to align data capabilities with business needs, and to implement cutting-edge tools that transform revenue cycle outcomes. Required Job Qualifications Bachelor’s degree in Business, Healthcare Administration, Data Science, or a related field Minimum 7–10 years of progressive leadership in healthcare revenue cycle analytics, digital transformation, or technology-enabled operations Demonstrated success leading enterprise analytics and innovation initiatives Proficiency with data visualization tools (e.g., Tableau, Power BI), SQL, and advanced modeling software (e.g., Python, R, SAS) Experience implementing RPA, AI, or NLP tools in a healthcare revenue cycle or payer setting Preferred Job Qualifications Master’s degree preferred (MBA, MHA, MPH, or MS in Analytics or related field) Epic certification or experience working in Epic revenue cycle environments Background in healthcare operations, financial strategy, or digital health transformation Physical Demands Office-based or hybrid role; requires prolonged periods of computer and screen use Occasional travel to system facilities, vendor sites, or conferences may be required Must be able to lead collaborative sessions, team workshops, and executive presentations Competencies Innovation Leadership: Leads change by driving the adoption of advanced technologies and new models Analytical Expertise: Translates complex data into meaningful insights and action plans Strategic Communication: Clearly communicates findings and recommendations to executive audiences Project Management: Successfully delivers cross-functional innovation projects on time and within scope Cross-Functional Collaboration: Builds trusted relationships across IT, finance, clinical, and operational teams Technical Fluency: Understands data architecture, system integration, automation, and analytic tools Disclaimer This job description outlines the general nature and level of work expected for the role. It is not intended to be an exhaustive list of all duties, responsibilities, or qualifications required. Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.

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