Senior Data Modeler

Job Title: Senior Data Modeler (Enterprise CDM Owner Cross Asset)
Contract Length: 8 Month contract(3 days on site/ 2 days remote)
Location: CHARLOTTE NC 28202

The role requires deep capital markets domain knowledge strong data modeling discipline and a governance-focused approach to schema versioning lineage and enterprise adoption.

Key Responsibilities

Enterprise CDM Ownership & Strategy

• Own the enterprise CDM vision scope and roadmap for capital markets domains across the full lifecycle
• Maintain domain decomposition and ensure consistent semantics across business lines and platforms
• Establish canonical modeling principles focused on interoperability and auditability

Canonical Modeling (Cross-Asset Trade Lifecycle Post-Trade)

• Design and maintain conceptual logical and canonical data models for:
  • Products (rates credit FX equities securitized products)
  • Trades positions lifecycle events allocations payments and cashflows
  • Parties legal entities accounts agreements settlement instructions and reference data
• Normalize identifiers and hierarchies to support interoperability and reconciliation
• Develop modeling patterns for event-driven and state-based lifecycles

CDM Governance Controls and Operating Model

• Establish governance operating model for CDM in a regulated environment
• Enforce modeling standards definitions relationships and metadata alignment
• Manage schema versioning and controlled release processes including:
  • Semantic versioning
  • Backward compatibility and deprecation strategies
  • Release documentation and impact analysis
• Maintain canonical-to-physical implementation patterns across platforms

Adoption Enablement Across the Enterprise

• Develop mapping templates and onboarding guidance for CDM adoption
• Create canonical transformation patterns and reference examples
• Partner with engineering and architecture teams to ensure consistent implementation
• Facilitate design reviews to maintain standardization

AI / LLM Integration

• Enable AI/ML and LLM use cases through:
  • AI-ready canonical datasets
  • Semantic layers and metadata structures
  • Structured modeling from unstructured data sources
• Support governance requirements including reproducibility explainability and audit readiness

Required Experience

• 5 years of data modeling experience within investment banking broker-dealer or capital markets environments
• Experience building or governing a canonical or enterprise Common Domain Model across multiple systems or business units
• Experience leading cross-functional stakeholder sessions across trading risk operations finance and data teams
• Experience defining canonical entities for:
  • Trades lifecycle events valuations and cashflows
  • Parties accounts agreements and reference data
• Experience driving enterprise adoption of canonical models including mapping and onboarding systems
• Experience with data mapping and harmonization across trading and post-trade platforms
• Experience supporting risk and regulatory use cases with strong controls and governance focus

Preferred Qualifications

• Familiarity with ISDA CDM concepts and lifecycle modeling
• Experience aligning internal models to ISDA CDM and defining extensions
• Familiarity with FINOS ecosystem practices
• Experience integrating canonical models into:
  • Event/streaming schemas
  • Data warehouses/lakehouses
  • API and message contract governance
• Exposure to AI/LLM enablement in regulated environments

Core Skills & Competencies

• Cross-asset canonical data modeling
• Data governance and auditability
• Versioning and change management
• Stakeholder alignment and decision-making
• Strong documentation and communication skills