Lead Data Modeler

• Role: Lead Data Modeler
• Onsite at Malvern, PA
• Full time direct hire role

• 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.
• • 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.

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.

• Thanks & Regards,
• Vaishnav Gupta| Senior Technical Recruiter
• KPG99, INC | www.kpgtech.com | MBE Certified Firm
• 3240 E State, St Ext | Hamilton, NJ 08619
• [email protected]