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

hackajob is collaborating with Mercor to connect them with exceptional professionals for this role.

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.