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Lead Data Modeler

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Onsite

Lead Data Modeler

Tata Consultancy Services

Lead Data Modeler

Skills

Data AnalysisAI

1 month ago

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Important information


Contract type:

Permanent

Location:

Malvern, PA 19355, USA

Work mode:

Onsite

Published on:

14 September 2026

What they need


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.

TCS Employee Benefits Summary Discretionary Annual Incentive.

Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.

Family Support: Maternal & Parental Leaves.

Insurance Options: Auto & Home Insurance, Identity Theft Protection.

Convenience & Professional Growth: Commuter Benefits & Certification & Training Reimbursement.

Time Off: Vacation, Time Off, Sick Leave & Holidays.

Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.

Salary Range: $120,000 - 150,000 a year

Qualifications: BACHELOR OF COMPUTER APPLICATION

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