Key Responsibilities:
- Design and govern conceptual, logical, and physical enterprise data models.
- Translate business requirements into scalable, implementation-ready data structures.
- Model critical enterprise domains, including customer, product, payer, and territory data.
- Partner with business and technical teams to define entities, relationships, and business rules.
- Establish and maintain enterprise data modeling standards and design patterns.
- Review and approve data models for alignment with Common Data Model (CDM) standards.
- Ensure data models are accurately represented within metadata and lineage platforms.
- Support certified data products with governed, reusable, AI-ready data structures.
- Identify and resolve data model gaps, duplication, and cross-domain inconsistencies.
- Provide data modeling expertise, documentation, and design guidance to stakeholders and engineering teams.
Essential Requirements:
- Bachelorβs degree in Data Management, Information Systems, Computer Science, Engineering, Analytics, Business, or related field.
- 5+ years of experience in data modeling, data architecture, data engineering, or enterprise data management.
- Experience building conceptual, logical, and physical data models for enterprise data platforms, data products, master data, or CDM programs.
- Experience working with business and technical teams to translate requirements into implementable data structures.
- Experience with data product, data warehouse, lakehouse, or analytics platform environments.
Desirable Requirements:
- Advanced degree or relevant data architecture, data modeling, cloud, or data management certification preferred.