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Mercor is working with a leading AI research lab to improve the capabilities of next-generation AI systems. We are seeking experienced Revenue Cycle Executives — including VP of Revenue Cycle, Sr. Director of Revenue Cycle, and RCM-focused finance leaders — to evaluate AI tools designed to transform end-to-end revenue cycle performance. Your strategic expertise in revenue cycle operations, payer contracting, financial performance management, and team leadership will directly shape AI systems that drive sustainable financial improvement across healthcare organizations. **Responsibilities** - Provide executive-level oversight and strategic direction for end-to-end revenue cycle operations, including patient access, coding, billing, denials, and collections. - Evaluate AI-generated revenue cycle performance analyses, strategic recommendations, and operational improvement plans for accuracy and feasibility. - Assess AI tools designed to automate revenue cycle workflows, identify revenue leakage, and optimise payer reimbursement. - Define and monitor enterprise revenue cycle KPIs, including net collection rate, days in A/R, denial rate, cost-to-collect, and cash collections performance. - Develop and implement revenue cycle improvement strategies aligned with organisational financial goals. - Oversee managed care contracting strategy and payer relationship management. - Collaborate with clinical, finance, compliance, and IT leadership to align revenue cycle initiatives with organisational priorities. - Present revenue cycle performance to executive leadership, boards, and investors. - Annotate AI outputs and provide structured strategic feedback to support AI training datasets. **Requirements** - 10+ years of progressive revenue cycle leadership experience, with at least 5 years in a VP, Sr. Director, or equivalent executive role. - Comprehensive knowledge of end-to-end revenue cycle operations, including front-end, mid-cycle, and back-end functions. - Strong financial acumen with experience managing P&L, budget oversight, and financial performance reporting. - Track record of leading large-scale revenue cycle transformation initiatives in health system, hospital, or physician group settings. - Deep familiarity with managed care contracting, payer relations, and reimbursement optimisation. - Exceptional written and verbal English communication skills, including executive-level presentation skills. - Comfortable working independently in a fully remote environment. - Ability to synthesise complex revenue cycle performance data and AI-generated outputs into strategic recommendations. **Preferred Qualifications** - HFMA Fellow (FHFMA), CHFP, or CRCR certification. - Experience with RCM technology platforms and large-scale EHR implementations. - Background in PE-backed healthcare organizations, health systems, or large physician enterprise environments. - Familiarity with AI tools and comfort evaluating AI-generated revenue cycle strategy content. - Experience leading multi-site or multi-entity revenue cycle consolidation or integration initiatives. **Why Join?** - Contribute to the development of frontier AI systems in healthcare. - Collaborate with a world-class AI research organisation. - Flexible, remote-first work environment. - Competitive compensation at $162/hr. - Gain exposure to cutting-edge AI workflows across the full revenue cycle enterprise. - Opportunity to work on high-impact projects shaping the future of healthcare AI.