Revenue Cycle Leader - AI Trainer

Obsidian; San Diego (CA); On-site; USD 120,000 - 170,000; Full time

Job summary

Obsidian is seeking an experienced leader in Revenue Cycle Analytics and Decision-Support to guide analytics initiatives for a cutting-edge AI healthcare program in San Diego. You will drive data-driven performance across patient access, coding, billing, denials, A/R, and collections, building scalable reporting and forecasting capabilities.

You will collaborate with finance, IT, and operations to ensure data quality, governance, and actionable insights align with strategic priorities.

Qualifications

• 5+ years in revenue cycle analytics, reporting, or healthcare financial decision-support, with at least 2 years in leadership.
• Deep knowledge of RCM KPIs across patient access, coding, billing, denials, A/R, and collections.
• Proficiency with BI tools (Tableau/Power BI) and SQL-based analysis.
• Experience with EHR-integrated analytics platforms and RCM reporting systems.
• Strong financial modelling and ability to translate data into actionable recommendations.
• Exceptional written and verbal English communication skills.
• Attention to data quality and error detection in AI outputs.

Responsibilities

• Lead revenue cycle analytics, reporting, and decision-support to drive performance improvements.
• Evaluate AI-generated analytics, KPI dashboards, and financial models for accuracy.
• Develop and maintain RCM reporting frameworks for multiple domains.
• Build dashboards, scorecards, and trend analyses for decision-makers.
• Conduct root cause analyses and propose data-driven improvements.
• Collaborate with finance, IT, and operations to align analytics with strategy.
• Govern RCM data definitions and reporting consistency.
• Support forecasting, budgeting, and net revenue analysis.
• Annotate AI outputs and provide feedback for AI training datasets.

Skills

Leadership

Tableau

Power BI

SQL

RCM KPIs

Data governance

English communication

Education

HFMA CRCR / CHFP (preferred)

Tools

Tableau

Power BI

SQL

EHR analytics platforms

Job 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.