Revenue Cycle Analytics Leader for AI Evaluation

This role focuses on enhancing revenue cycle intelligence and financial decision-making through advanced analytics and AI tools. As a leader in revenue cycle analytics and decision-support, you will leverage your expertise to evaluate and shape AI systems that provide actionable insights across the revenue cycle. Key Responsibilities

• Lead revenue cycle analytics, reporting, and decision-support functions to drive data-driven performance improvement across RCM operations.
• Evaluate AI-generated revenue cycle analytics outputs, KPI dashboards, and financial modeling recommendations for accuracy and completeness.
• Develop and maintain revenue cycle reporting frameworks covering patient access, coding, billing, denials, A/R, and collections performance.
• Build and interpret dashboards, scorecards, and trend analyses to support operational and executive decision-making.
• Conduct root cause analyses of revenue cycle performance variances and develop data-driven improvement recommendations.
• Collaborate with finance, IT, and operational revenue cycle teams to align analytics infrastructure with strategic priorities.
• Manage RCM data governance, including data definitions, data quality standards, and reporting consistency.
• Support revenue cycle forecasting, budget modeling, and net revenue realization analysis.
• Annotate AI outputs and provide structured analytical feedback to support AI training datasets.

• 5+ years of experience in revenue cycle analytics, RCM reporting, or healthcare financial decision-support, with at least 2 years in a leadership role.
• Deep knowledge of revenue cycle KPIs and financial metrics across patient access, coding, billing, denials, and collections domains.
• Proficiency with healthcare analytics platforms, BI tools (Tableau, Power BI, or equivalent), and SQL-based data analysis.
• Experience with EHR-integrated analytics platforms and RCM reporting systems.
• Strong financial modeling and data interpretation skills with the ability to translate complex data into actionable recommendations.
• Exceptional written and verbal English communication skills.
• High attention to detail with the ability to identify data quality issues and analytical errors in AI-generated outputs.

• HFMA CRCR, CHFP, or healthcare analytics certification.
• Experience with predictive analytics, revenue cycle forecasting, and net revenue modeling.
• Background in health system, large physician enterprise, or RCM outsourcing analytics operations.
• Familiarity with AI tools and comfort evaluating AI-generated analytics content.
• Experience implementing enterprise-wide revenue cycle analytics infrastructure or BI platform migrations.

• Contribute to the development of frontier AI systems in healthcare.
• Collaborate with a world-class AI research organization.
• Gain exposure to cutting-edge AI workflows in revenue cycle analytics and decision-support.
• Opportunity to work on high-impact projects shaping the future of healthcare AI.