Data Modeler

Must Have Technical/Functional Skills

 • Demonstrated expertise in conceptual, logical, canonical, semantic, and physical data modeling.
• 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.

Roles & Responsibilities

• 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.

Generic Managerial Skills, If any

 • Strong business acumen with the ability to challenge assumptions and influence decisions.
• Ability to facilitate modeling workshops with business stakeholders and domain experts.
• Experience translating ambiguous business concepts into well-defined enterprise models.
• Proven ability to balance reusable, extensible architecture with practical implementation needs.
• Strong communication skills with the ability to influence technical and non-technical stakeholders.