Revenue-cycle analytics / decision-support / RCM reporting leader

Official role description

Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Revenue Cycle Analytics and Decision-Support leaders

including RCM reporting managers and analytics directors

to evaluate AI tools designed to transform revenue cycle intelligence and financial decision-making. Your expertise in RCM data analytics, financial reporting, and decision-support will directly shape AI systems that deliver actionable insights across the full revenue cycle.

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 modelling, and net revenue realisation analysis. • Annotate AI outputs and provide structured analytical feedback to support AI training datasets.

Requirements • 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 modelling 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.

Preferred Qualifications • HFMA CRCR, CHFP, or healthcare analytics certification. • Experience with predictive analytics, revenue cycle forecasting, and net revenue modelling. • 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.

Why Join? • Contribute to the development of frontier AI systems in healthcare. • Collaborate with a world-class AI research organisation. • 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.