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Lead Data Modeler
Tata Consultancy Services
Malvern, USA
Full-time
Senior · 8+ years experience
Onsite
USD 90000-100000 yearly / year
Discovered 1 weeks ago
ERwinER StudioAnti-Corruption Layer (ACL)
Free
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ERwinER StudioAnti-Corruption Layer (ACL)
Key Skills for This Role
ERwinER StudioAnti-Corruption Layer (ACL)
Full Job Posting
Must Have Technical And 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.
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