Data Modeler
Keywords: Data Modeling, Erwin, metadata, data management, taxonomy, ontologies, and semantic.
Job Description
Collaborate with variety of internal teams (e.g., Finance, Risk, Asset Management, etc.) to drive strategic data management priorities through metadata.
Manage the collection and governance of business, technical and operational metadata.
Drive various other metadata management activities, including but not limited to, lineage discovery, metadata creation, metadata change management and reporting.
Develop logical metadata models (e.g., metadata asset model, semantic relationships) to represent business and technical metadata (e.g., reporting hierarchy, physical data elements, logical data elements, data quality controls)
Skills:
Strong understanding of business processes within a large financial institution.
Familiarity with taxonomy, ontologies, and semantic modelling.
Conceptual and logical business data modeling experience across domains (i.e., customer, account, risk, etc.)
Deep understanding and experience with technical, operational and business metadata.
Ability to derive and communicate value (business case) from metadata management.
Demonstrated ability to quickly learn new software, specifically metadata management tooling.