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Job Title: Senior Data Modeler
Contract Length: 6+ Months
Location: CHARLOTTE NC 28202
Hybrid Work (3 days on site/ 2 days remote)

Ref# 246501

Will serve as the enterprise owner for a cross-asset Common Domain Model (CDM) supporting capital markets and investment banking operations. This role is responsible for defining and governing canonical business semantics across products, trades, lifecycle events, parties, agreements, reference data, and related domains to support interoperability across front office, risk, finance, operations, regulatory reporting, and analytics platforms.

The ideal candidate will possess deep capital markets domain expertise, strong enterprise data modeling experience, and a governance-focused approach to schema versioning, lineage, auditability, and enterprise adoption.

Key Responsibilities

Enterprise CDM Ownership & Strategy

• Own the enterprise CDM vision, roadmap, and governance strategy across capital markets domains
• Maintain domain decomposition and ensure semantic consistency across platforms and business lines
• Establish canonical modeling standards focused on interoperability, auditability, and implementation-agnostic logical modeling

Canonical Modeling

• Design and maintain conceptual, logical, and canonical models for:


• Products across multiple asset classes
• Trades, positions, lifecycle events, allocations, and payments
• Parties, legal entities, agreements, settlement instructions, and reference data


• Normalize identifiers and hierarchies to support interoperability and reconciliation
• Develop event-driven and state-based lifecycle modeling patterns

Governance & Controls

• Establish governance operating models for enterprise CDM stewardship in regulated environments
• Enforce modeling standards, naming conventions, relationships, constraints, and metadata requirements
• Manage schema and model versioning processes including:


• semantic versioning
• backward compatibility
• deprecation strategies
• release management
• impact analysis


• Maintain canonical-to-physical implementation patterns across APIs, event schemas, and data platforms

Enterprise Adoption Enablement

• Create onboarding templates, mapping guidance, and transformation standards for enterprise systems
• Develop canonical transformation patterns and reference implementation examples
• Partner with architecture, engineering, and platform teams to drive consistent CDM adoption
• Lead design reviews to eliminate conflicting definitions and shadow models

AI / LLM Integration

• Design AI-ready canonical datasets and semantic layers for retrieval and analytics use cases
• Support unstructured-to-structured modeling patterns for agreements and confirmations
• Partner with AI governance and model risk teams to support reproducibility, explainability, and auditability

Required Qualifications

• 7+ years of engineering or enterprise data modeling experience
• 5+ years of hands-on data modeling experience within investment banking, broker-dealer, or capital markets organizations
• Experience supporting front-to-back capital markets workflows across Front Office, Risk, Operations, Finance, and Regulatory functions
• Proven experience building, governing, or contributing to enterprise Common Domain Models (CDM)
• Strong experience leading stakeholder workshops across Trading, Risk, Operations, Finance, Architecture, and Data Engineering teams
• Experience defining canonical entities and relationships for:


• trades
• positions
• lifecycle events
• valuations
• payments/cashflows
• legal entities
• agreements/CSAs
• reference data


• Experience onboarding producer and consumer systems to canonical enterprise models
• Strong background in data mapping, harmonization, lineage, reconciliation, and semantic standardization across heterogeneous platforms
• Experience supporting risk and regulatory reporting use cases requiring consistent canonical semantics

Preferred Qualifications

• Familiarity with ISDA CDM concepts and lifecycle representation patterns
• Experience aligning internal models to ISDA CDM and defining extensions
• Familiarity with FINOS ecosystem practices and interoperability standards
• Experience integrating canonical models into:


• streaming/event architectures
• lakehouse or warehouse platforms
• API and message contract governance


• Exposure to AI/LLM enablement patterns including semantic layers and curated training datasets in regulated environments

Core Skills

• Enterprise canonical data modeling
• Cross-asset capital markets domain expertise
• Governance and stewardship leadership
• Schema versioning and compatibility management
• Metadata, lineage, and auditability
• Semantic modeling and interoperability
• Stakeholder facilitation and consensus building
• Strong communication and documentation skills