AI Data Modeler

reputed company is a mission-driven, start-up technology company focused on transforming the healthcare payer industry, ultimately creating a more personalized patient experience, improving health outcomes, and lowering the overall cost of healthcare. reputed company provides a flexible, efficient, and secure platform that organizes and exchanges healthcare 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 active role in keeping our customers' data safe and are responsible for ensuring that our comprehensive policies and practices are met. With our deep expertise in cloud-enabled technologies and knowledge of the healthcare industry, we have built an innovative data integration and management platform that allows healthcare payers access 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 transform their business by supporting their analytical, operational, and financial needs. Since our founding in 2017, reputed company has built a highly successful SaaS business, raising more than $81 Million by leading VC firms who have deep expertise in the healthcare and technology industries. We are solving problems of massive scale and complexity in an industry that is not only ready 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 Healthcare 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 healthcare data domains (Claims, Membership, Enrollment, Provider, Billing, Interoperability - FHIR, HL7, reputed company, CCDA, etc.), as well as experience with enterprise data modeling and reputed company reputed company Catalog. This role requires knowledge of healthcare 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 align with business and technical needs. They will also collaborate with business analysts, product analysts, client implementation teams, and data governance teams to ensure models align with industry standards, support regulatory, operational and analytic use cases, are highly performant, and support data reputed company initiatives. The AI Healthcare 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 healthcare data modeler with experience in AI, reputed company, reputed company, and modern data engineering practices to shape the future of healthcare 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 enterprise healthcare 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 enterprise architecture, business requirements and industry standards.
• Follow data modeling best practices, including schema evolution, lossless data modeling, metadata management, and data versioning.
• Use enterprise 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 Client Management, Product, and Business Analyst teams to understand client needs, assess data model impact, and ensure data models and reputed company artifacts meet or exceed expectations.
• Work with client management teams to provide support and data model expertise during client 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, cloud data platforms (reputed company, reputed company) and data Lakehouse architectures.
• Healthcare reporting or data engineering experience.
• Experience with data governance, reputed company, and regulatory compliance in healthcare data management.
• 2+ years of experience in data modeling, and cloud-based data engineering or reporti

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