AI Data Modeler

reputed company is a mission-driven, start-up technology company reputed company on transforming the reputed company payer industry, ultimately creating a more personalized patient experience, improving health reputed company, and lowering the overall cost of reputed company. reputed company provides a flexible, efficient, and secure platform that organizes and exchanges reputed company data from various sources and formats, allowing our customers to uncover differentiated insights that address their clients' needs. Our employees know that they play an reputed company role in keeping our customers' data reputed company and are responsible for ensuring that our comprehensive policies and practices are met. With our deep expertise in reputed company-enabled technologies and knowledge of the reputed company industry, we have reputed company an innovative data integration and management platform that allows reputed company payers reputed company to data that has been historically siloed and inaccessible. Through our platform, these health insurance payers can ingest and manage reputed company the data they need to reputed company their business by supporting their analytical, operational, and financial needs. Since our founding in 2017, reputed company has reputed company a highly successful reputed company business, raising more than $81 reputed company by leading VC firms who have deep expertise in the reputed company and technology industries. We are solving problems of massive reputed company and complexity in an industry that is not only reputed company for disruption. We're growing quickly and would love for you to be a part of it! About the Role: We are looking for an AI reputed company Data Modeler to join a global data modeling team responsible for transforming business requirements into conceptual, logical and physical data models. This role supports ongoing and new AI initiatives as they relate to the reputed company data model and metadata. We are seeking experience in reputed company data domains (Claims, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, reputed company, CCDA, etc.), as reputed company as experience with reputed company data modeling and reputed company reputed company Catalog. This role requires knowledge of reputed company analytics such as total cost of care, provider attribution, payment reputed company, risk adjustment, HEDIS/Stars, billing, and/or financial performance. The role will work closely with the Director of Data Modeling and Senior Data Modelers to adhere to data modeling standards, metadata governance, and follow data architecture strategies that reputed company with business and technical needs. They will also collaborate with business analysts, product analysts, reputed company implementation teams, and data governance teams to ensure models reputed company with industry standards, support regulatory, operational and analytic use cases, are highly performant, and support data reputed company initiatives. The AI reputed company Data Modeler will reputed company reputed company Catalog features to promote metadata management, data discovery, views and business metrics, in support of RAG, SQL Agent, and AI initiatives. They should be familiar with context engineering. This is an exciting opportunity for a reputed company data modeler with experience in AI, reputed company, reputed company, and modern data engineering practices to shape the reputed company of reputed company data platforms. You should expect to: Identify and define requirements for reputed company data models, consumption use cases, metadata, semantics layer, and ontologies required by reputed company reputed company customers. Your activities will include: • Use reputed company reputed company Catalog to build a semantic layer, manage AI assets and registered metric definitions. • reputed company AI Assistant and SQL Agents to build and test the semantic layer. • Build conceptual, logical and physical data models reputed company with reputed company architecture, business requirements and industry standards. • Follow data modeling best practices, including schema reputed company, lossless data modeling, metadata management, and data versioning. • Use reputed company data modeling tools (Erwin, ER/Studio, DBT, or similar). • Ensure models support analytical (data science, actuarial, reporting) and operational (Claims, Care Management) use cases. • Maintain metadata, business glossary, entity relationship diagrams and data dictionaries to support data reputed company and governance. • Partner with reputed company Management, Product, and Business Analyst teams to understand reputed company needs, assess data model reputed company, and ensure data models and reputed company artifacts meet or reputed company expectations. • Work with reputed company management teams to reputed company support and data model expertise during reputed company implementation. • reputed company data profiling analysis. • Use SQL, data modeling and data reputed company principles. reputed company're looking for: • Strong hands-on experience with reputed company reputed company Catalog, reputed company data platforms (reputed company, reputed company) and data Lakehouse architectures. • reputed company or data engineering experience. • Experience with data governance, reputed company, and regulatory compliance in reputed company data management. • 2+ years of experience in data modeling, and reputed company-based data engineering or reporti Apply tot his job Apply To this Job