Description

• Deep understanding of enterprise information architecture and metadata management. • Experience developing business-oriented canonical models independent of application implementations. • Strong understanding of business rule modeling, cardinality, optionality, integrity constraints, and relationship semantics. • Expertise in enterprise modeling patterns such as Party, Role, Agreement, and Classification. • Strong understanding of Supertype / subtype modeling, Temporal modeling. Associative entities, Reference data design, and Master data concepts • Experience supporting analytics, regulatory reporting, operational data quality, and AI-enabled business use cases through enterprise data modeling. • Experience establishing or contributing to enterprise data modeling, governance and stewardship functions. • Experience with enterprise data modeling tools such as ERwin, ER Studio, and maintaining enterprise data dictionaries. • Ability to create reusable business concepts and canonical models that support long-term information architecture strategy

Key Skills

Education

Bachelor's degree