The Autonomous Coding Quality and Optimization Analyst will evaluate autonomous coding performance, identify opportunities to improve automation outcomes, and help ensure coding quality, compliance, and customer value as Solventum scales AI-enabled coding capabilities. This role analyzes coding and automation data, investigates trends and anomalies, partners across coding, compliance, reporting, data science, engineering, and customer-facing teams, and translates findings into actionable recommendations that support responsible automation growth, risk mitigation, and measurable operational impact. As an Autonomous Automation Analyst, you will have the opportunity to tap into your curiosity and collaborate with some of the most innovative and diverse people around the world. Here, you will make an impact by: Analyzing autonomous coding outputs against benchmarks to evaluate performance metrics, identify trends, and support automation performance insights. Identifying clinical scenarios, chart types, specialties, and workflows that are ready for increased automation scale. Detecting systemic AI errors, compliance concerns, coding variation, and data anomalies that may require further review or escalation. Collaborating with reporting, data science, engineering, compliance, clinical, coding, and content teams to translate findings into actionable recommendations. Communicating insights, risks, opportunities, and customer impact clearly to leadership, stakeholders, and customer-facing teams.
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Job Type
Full-time
Career Level
Senior