CLARA Analytics

• Design and own the mathematical and technical framework for a scalable clustering engine • Partner with Machine Learning Engineers to translate prototypes into optimized production systems • Collaborate with Data and Application Engineering teams to define APIs and data contracts • Develop advanced representations of claims using both structured and unstructured data • Act as a subject matter expert within the broader engineering organization

• Design and own the mathematical and technical framework for a scalable clustering engine that groups claims based on clinical, legal, and financial attributes. • Partner with Machine Learning Engineers to translate prototypes into optimized production systems, and work with MLOps to implement automated retraining, monitoring, and model lifecycle management. • Collaborate with Data and Application Engineering teams to define APIs and data contracts that power internal tools such as attorney and physician benchmarking, as well as fraud detection systems. • Develop advanced representations of claims using both structured data (e.g., ICD codes, geographic data, indemnity and legal costs) and unstructured data (e.g., adjuster notes, medical records, legal documents). • Act as a subject matter expert within the broader engineering organization, ensuring alignment between data science initiatives, system architecture, and production reliability standards.

• Architect and implement modern, scalable ETL/ELT pipelines using modern AWS-native services to process insurance claims data. • Build resilient, high-throughput data pipelines with an emphasis on quality and reliability to drive consistent, accurate data across the enterprise. • Ingest and transform diverse data sources, structured, semi-structured and unstructured, into enterprise-level ETL/ELT solutions. • Design and implement custom algorithms to solve complex data challenges and unlock new insights. • Collaborate cross-functionally with Data Scientists, Analysts, and Product teams to deliver business-aligned solutions. • Ensure pipeline reliability, performance, and SLA adherence. • Streamline operations through automation, CI/CD, infrastructure-as-code, and configuration management tools.

• Ongoing development and management of the CLARA Analytics website and associated digital platforms. • Execution of multi-channel content strategies across social media, email, Pardot, and beyond