Data Modeler Business/Data Modeler
Location: McLean, VA (5 days Onsite)
Analyze business processes, loan lifecycle stages, and data requirements to define Data Model entities and attributes.
Leverage existing business information models, source system schemas, and downstream data needs to guide modeling decisions.
Map and align source system entities to standardized Enterprise Business Model structures, including field definitions and semantic alignment.
Ensure consistent representation of loan, borrower, property, servicing, and securitization concepts in the enterprise model.
Collaborate with data governance, engineering, and product teams to validate and refine EBM entities and relationships.
Reference and incorporate MISMO standards and best practices into the model, ensuring regulatory and industry alignment.
Maintain model documentation, version control, and traceability of business definitions and transformation logic.
Support review and approval processes with business stakeholders, modeling working groups, and data architecture teams.
Required Experience:
4 7 years of experience in data modeling, business modeling, or information architecture roles.
Hands-on experience defining logical and conceptual data models, including entity-relationship definitions.
Strong understanding of the mortgage industry, including familiarity with loan lifecycle, servicing, securitization, or investor reporting processes.
Prior experience working with Fannie Mae, Freddie Mac, CSS, or similar mortgage ecosystem participants.
Experience with the MISMO data model, and the ability to apply MISMO concepts to custom enterprise modeling.
Ability to analyze and reconcile data across business and technical domains.
Excellent documentation, communication, and stakeholder engagement skills.
Preferred Experience:
Experience working on enterprise data transformations or modernization programs.
Familiarity with tools such as ER/Studio, Erwin, or similar modeling platforms.
Exposure to metadata management tools (e.g., Collibra) and data governance frameworks.
Interested candidates can share their resumes at:
