Lead Data Modeler

Acestack; Malvern (Chester County); On-site; USD 120,000 - 180,000; Full time

Job summary

Vanguard is seeking a senior data architect to lead enterprise data modeling efforts within Personal Wealth. You will own canonical data models, drive governance, and partner with data stewards across product teams to ensure consistency and traceability to implementations.

The role emphasizes expertise in canonical, semantic, and temporal modeling and requires experience with ERwin/ER Studio. You will mentor engineers while shaping long-term information architecture.

Qualifications

• Proven expertise in data modeling concepts and patterns.
• Experience with enterprise metadata management and governance.
• Ability to design canonical and semantic models.
• Familiarity with ERwin/ER Studio tooling.

Responsibilities

• Partner with data stewards to define entities and rules.
• Own Personal Wealth data model and ensure traceability to implementations.
• Lead canonical models for householding, advisor teaming, client relationships, and workflows.
• Support governance and change control processes.
• Collaborate with Enterprise Data Architecture and Engineering for tooling, lineage, and governance.
• Mentor architects, analysts, and engineers in modern data modeling practices.

Skills

Data modeling

Enterprise architecture

Canonical modeling

Metadata management

Data governance

Temporal modeling

Education

Bachelor's degree in a relevant field

Tools

ERwin

ER Studio

Job description

Job Description

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.

Abili ty 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.