Revenue Cycle Analytics and Decision-Support Leader

Shape AI tools for revenue cycle intelligence by applying your expertise in RCM analytics, financial reporting, and decision support. This remote opportunity focuses on evaluating AI-generated insights that support informed financial and operational decisions across the revenue cycle. Key Responsibilities

• Lead revenue cycle analytics, reporting, and decision-support activities that improve RCM performance through data-driven insights.
• Assess AI-generated revenue cycle analyses, KPI dashboards, and financial modeling recommendations for accuracy and completeness.
• Develop and maintain reporting frameworks for patient access, coding, billing, denials, accounts receivable, and collections.
• Build and interpret dashboards, scorecards, and trend analyses for operational and executive decision-making.
• Investigate revenue cycle performance variances, identify root causes, and recommend data-driven improvements.
• Partner with finance, IT, and revenue cycle operations teams to align analytics infrastructure with strategic priorities.
• Oversee 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 for AI training datasets.

• At least 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, BI tools such as Tableau or Power BI, or equivalent tools, and SQL-based analysis.
• Experience with EHR-integrated analytics platforms and RCM reporting systems.
• Strong financial modeling and data interpretation skills, with the ability to turn complex data into actionable recommendations.
• Exceptional written and verbal English communication skills.
• Close attention to detail and the ability to identify data-quality issues and analytical errors in AI-generated outputs.

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

• Remote, hourly engagement.

• $100 per hour.

• Contribute to advanced healthcare AI work and gain exposure to AI workflows in revenue cycle analytics and decision support.
• Work on high-impact initiatives that help shape the future of healthcare AI.