• Manage and mentor QA engineers while maintaining hands-on involvement in testing • Prepare releases and perform root cause analysis for defects • Collaborate with development team to enhance quality standards and feedback loops • Plan and prioritize manual and automated tests, triage bugs, and manage QA workload • Document and train standardized QA processes

• Conducts routine audits of end-to-end process assignments to ensure proper SOP/guidelines are met. • Evaluates eligibility verification and pre – authorization processes. • Evaluates basic coding, charge entry, billing, and claims process, in addition to denied claims to ensure accuracy. • Identify trends, root causes and system issues related to denials, no response, or underpayments. • Collaborate with management to develop and implement process improvement plans. • Maintain QA reports and complete timely weekly/monthly submissions.

• Responsible for the quality assurance of our internal coding team and performs quality audits to ensure compliance with coding guidelines. • Leverages extensive knowledge of federal, state, and payer-specific regulations and policies to audit coded charts. • Provide coding, financial and/or operational reports, and provide feedback to improve documentation to maximize revenue and reduce denials. • Performs audits of the coding team, providing feedback and education based on results. • Develops overall educational materials based on common trends identified during the audit process. • Conducts internal coding audits and analysis of issues holding up accounts and follows guidelines. • Identifies areas of utilization improvements and monitors expected outcomes. • Identifies recurring problems and procedural deficiencies and provides solutions to eliminate them. • Research and update new and/or revised coding and compliance standards. • Performs other related duties as required or requested.

• Define and evolve the technical automation strategy, resolving high-complexity challenges across pipelines, environments, and frameworks. • Design complex automation solutions. • Act as the primary QA authority in architectural decisions, ensuring quality is integrated from the design phase. • Partner with Development, Product, and Platform teams to dismantle silos and accelerate the delivery of value. • Contribute a critical and constructive quality perspective during Agile ceremonies. • Lead the intensive implementation of AI across the testing lifecycle, including automated test case generation and failure analysis. • Evaluate emerging AI tools and methodologies, transitioning prototypes into production environments. • Design and evolve the organizational model for quality metrics, including coverage, defect escape rate, and flakiness. • Translate data into strategic insights for Engineering, Product, and Management teams. • Build dashboards that facilitate data-driven decisions regarding product health and team performance. • Proactively identify quality trends and potential risks before they impact client operations. • Guide the professional growth of the QA team and the adoption of industry best practices. • Cultivate a proactive environment where defect prevention is a standard habit.