Job Description
Demonstrated expertise in conceptual, logical, canonical, semantic, and physical data modeling.
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• Deep understanding of enterprise information architecture and metadata management.
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• Experience developing business-oriented canonical models independent of application implementations.
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• Strong understanding of business rule modeling, cardinality, optionality, integrity constraints, and
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relationship semantics.
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• Expertise in enterprise modeling patterns such as Party, Role, Agreement, and Classification.
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• Strong understanding of Supertype / subtype modeling, Temporal modeling. Associative entities, Reference
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data design, and Master data concepts
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• Experience supporting analytics, regulatory reporting, operational data quality, and AI-enabled business use
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cases through enterprise data modeling.
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• Experience establishing or contributing to enterprise data modeling, governance and stewardship functions.
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• Experience with enterprise data modeling tools such as ERwin, ER Studio, and maintaining enterprise data
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dictionaries.
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• Ability to create reusable business concepts and canonical models that support long-term information
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architecture strategy.
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Roles & Responsibilities
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• Partner with business data stewards and product teams to define and evolve business concepts, entities, relationships, and business rules. • Own the holistic Personal Wealth logical and canonical data model and maintain traceability to implementation assets. • Lead development of canonical models supporting householding, advisor teaming, client relationships, investment offerings, and operational workflows. • Support strategic initiatives such as Portfolio of the Future by designing canonical models and abstraction layers that isolate Vanguard business concepts from vendor-specific schemas. • Define standards and best practices for conceptual, logical, physical, canonical, and semantic data modeling. • Establish governance processes supporting model stewardship, versioning, lifecycle management, and change control. • Partner with Enterprise Data Architecture and Engineering teams to implement tooling supporting model management, metadata management, lineage, and governance. • Collaborate with integration teams to design Anti-Corruption Layer (ACL) patterns and mapping frameworks between vendor platforms and Vanguard canonical data models. • Facilitate workshops to identify, define, and validate enterprise business concepts and relationships. • Mentor architects, analysts, and engineers in modern data modeling practices. • Support data models used across advice delivery, wealth management, client servicing, analytics, regulatory reporting, and AI-enabled experiences. • Drive adoption of enterprise modeling standards and reusable business concepts across product and engineering teams. • Establish and promote common business language and shared enterprise concepts across Personal Wealth platforms. • Ensure canonical models provide a stable abstraction layer between business domains, internal systems, and vendor platforms.
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