Develops and maintains the enterprise data platform’s semantic layer, ensuring business data is consistent, discoverable, and reusable across analytics and AI applications.
Salary Range (Norwalk, CT): $101,150.69 - $134,867.58 Annual Bonus Potential: 10%
- Design, develop, and maintain conceptual, logical, physical, dimensional, and semantic data models aligned with enterprise architecture standards and business requirements.
- Translate business concepts into reusable models that define entities, attributes, relationships, business rules, KPIs, and standardized definitions.
- Map business concepts to underlying data assets and maintain semantic metadata to support analytics, generative AI, RAG, natural language querying, and AI agents.
- Collaborate with Enterprise Architecture, data engineering, governance, analytics, AI teams, and business stakeholders to validate definitions and align models with enterprise standards.
- Improve semantic consistency, metadata completeness, and contextual relevance to enhance data quality and AI application outcomes.
- Bachelor’s degree in Computer Science, Information Systems, Data Management, or a related discipline
Application Integration, SMECayuse Holdings · Washington, US