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. This remote, hourly role will use deep RCM analytics experience to evaluate AI-generated analytics, shape reporting frameworks, and provide actionable recommendations for operational and executive stakeholders. Your work will also produce structured feedback used to train and refine AI systems for revenue cycle intelligence.

• 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.

• 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 domains.
• Proficiency with healthcare analytics platforms, business intelligence tools such as Tableau or 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, able 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.

• Certifications such as HFMA CRCR or 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 leading BI platform migrations.

• Location: Remote.
• Employment type: Hourly engagement.

Rate: 100 per hour.

• Candidates must have the required experience and the exceptional English communication skills listed in Qualifications.
• Remote work is required for this engagement.