• Oversee all aspects of the laboratory revenue cycle, billing, and reimbursement operations • Manage the full end-to-end laboratory revenue cycle including charge capture, claim submission, payment posting, and A/R follow-up • Supervise and develop a billing team of approximately 40 • Ensure accurate CPT (80000 series) and ICD-10 coding for all laboratory procedures in compliance with payer, Medicare, and Medicaid requirements • Oversee claim edits, denials, appeals, and reimbursement optimization • Establish and maintain SOPs, KPIs, and billing workflows to improve accuracy and compliance • Collaborate with laboratory operations, finance, and IT to resolve billing or system issues • Prepare RCM performance reports and identify revenue leakage, denial trends, and process improvements

• Overseeing operational performance across core revenue cycle functions • Ensuring accurate claim submission, compliant billing practices, timely reimbursement, and optimal financial performance • Providing leadership and oversight across middle-cycle and back-end revenue cycle operations including charge entry, coding coordination, claim submission, billing, payment posting, denial management, patient collections, and revenue integrity initiatives. • Collaborating with clinical, operational, and finance leadership to improve reimbursement outcomes, operational efficiency, revenue capture, and overall financial performance • Serving as the primary point of contact and relationship manager for all outsourced Accounts Receivable vendors and business partners • Establishing performance expectations, service level agreements (SLAs), and key performance indicators (KPIs) • Conducting regular vendor performance reviews focused on cash collections, aging reduction, denial resolution, productivity, quality, and turnaround times • Monitoring and analyzing AR vendor performance metrics, identifying trends, risks, and opportunities for improvement • Providing executive-level reporting and recommendations regarding vendor performance, AR trends, and revenue cycle optimization opportunities.

• Structure, monitor, and ensure data quality in CRM platforms. • Ensure a consistent flow of information between Marketing, Sales and Customer Success. • Perform data audits and analyses to guarantee the reliability and integrity of information. • Support the development of a data-driven operation and KPIs. • Develop, implement and optimize automated workflows and nurture/relationship cadences. • Create solutions that increase operational efficiency and reduce manual tasks. • Manage integrations between systems and tools used by the revenue teams. • Support automation initiatives leveraging Artificial Intelligence. • Monitor and analyze key metrics such as CAC, LTV, conversion rates, churn and pipeline velocity. • Build dashboards and reports to track performance and support decision-making. • Identify bottlenecks, growth opportunities and areas for improvement in the customer journey. • Produce analyses and insights that support the scalable growth of the operation. • Map and optimize the customer’s operational and technical journey. • Foster alignment between Marketing, Sales and Customer Success. • Eliminate operational friction and improve process efficiency that impacts revenue generation. • Support the standardization of processes and governance for commercial operations. • Assist in identifying and implementing AI use cases within area processes. • Contribute to solutions such as predictive lead scoring, intelligent automations, behavior analysis and other initiatives aimed at operational efficiency. • Contribute to the technological evolution of the company’s revenue processes. • Train internal teams on the correct use of tools, processes and operational best practices. • Support the adoption of new technologies, automations and methodologies. • Act as a reference point for clarifying questions related to CRM and RevOps operations.

• Writing Python, Next.js, Vite, Bun, Node, JavaScript (server/client), HTML, CSS, React, Apex. • Implementing open source libraries and design concepts to improve infrastructure. • Contributing to all aspects of the process: defining, designing, developing, testing, and supporting. • Estimating engineering effort, planning implementation, and rolling out system changes.