Revenue Cycle Analytics Leader for AI Evaluation

Lead the design, evaluation, and delivery of revenue cycle analytics and decision-support to improve financial performance across patient access, coding, billing, denials, accounts receivable, and collections. Use your RCM analytics and financial reporting expertise to evaluate AI-generated outputs, shape AI training data through structured annotation, and deliver dashboards and recommendations that support operational and executive decision-making.

• Own revenue cycle analytics, reporting, and decision-support functions to drive data-driven performance improvements across RCM operations.
• Evaluate AI-generated revenue cycle analytics outputs, KPI dashboards, and financial modeling recommendations for accuracy, completeness, and clinical/operational relevance.
• Develop and maintain reporting frameworks that cover patient access, coding, billing, denials, A/R, and collections performance.
• Build and interpret dashboards, scorecards, and trend analyses to inform operational actions and executive strategy.
• Perform root cause analyses of revenue cycle performance variances and produce 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 establishing 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 create and refine AI training datasets.

Required

• Minimum 5 years of experience in revenue cycle analytics, RCM reporting, or healthcare financial decision-support, including 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.
• Proficiency with healthcare analytics platforms and BI tools such as Tableau or Power BI, and strong SQL-based data analysis skills.
• Experience with EHR-integrated analytics platforms and RCM reporting systems.
• Strong financial modeling and data interpretation skills, able to convert 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.

Preferred

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

• Location: Remote.
• Engagement type: Hourly.

• $100 per hour.

• Exceptional written and verbal English communication skills required.

• Contribute to the development of advanced AI systems applied to healthcare revenue cycle analytics.
• Collaborate with a world-class AI research organization and gain exposure to cutting-edge AI workflows in RCM decision-support.
• Work on high-impact projects that shape the future of healthcare financial intelligence.
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