Director of Consumer Data Strategy

Freddie Mac•McLean, VA

About The Position

The Director of Consumer Data Strategy will oversee the strategic development and execution of data initiatives to support Single-Family Acquisitions analytics and reporting. This pivotal role involves understanding of modernizing data platforms, implementing industry standards such as MISMO, and ensuring analytic users have access to trusted, well-governed, and integrated datasets. The Director will act as a bridge between business, technology, and data governance teams to deliver scalable, compliant, and high-quality data solutions that enhance decision-making, risk management, and regulatory reporting. This position also involves supporting new and existing industry data integrations with Freddie Mac, including ULAD, ULDD, UAD, LCLA, and Condo datasets. The Director will gather input from policy and other stakeholders to understand future data needs and align with industry partners like Fannie Mae. Responsibilities include managing the intake process for EUC within SFA and prioritizing data needs across the organization.

Requirements

Bachelor’s degree in Computer Science preferred or equivalent work experience
12+ years of related experience and 4+ years of management experience
Experience in credit risk analytics, loan origination/acquisition data.
Familiarity with regulatory reporting requirements in the mortgage industry.
Hands-on experience with modern data tools (e.g., Python, SQL, Spark, Informatica, Collibra).
Experience driving large-scale enterprise data initiatives with measurable outcomes.
Prior engagement with industry bodies or vendor standardization efforts.
Effective collaboration to build trust and increase efficiency across the three lines, including the business segment SF, Finance Divisions, Enterprise Risk Division, and Internal Audit and with FHFA
Ability to communicate effectively and efficiently
Expertise and authority to maintain independence, critically review, and provide effective challenge of the company’s Data management with Credit Risk management functions
Ability to prioritize across multiple competing tasks, manage teams effectively, and deliver timely, high-quality, and well-documented oversight outcomes
Strong organization skills, analytical mindset, and ability to work in a fast-paced environment against tight deadlines
Remain current on the latest financial risk management developments, regulations, and industry trends
Ability to attract and develop risk talent

Responsibilities

Define and execute a comprehensive data strategy for Credit Risk Management and Single-Family analytics, ensuring alignment with enterprise priorities.
Develop and manage the roadmap for data modernization, including cloud migration, data lake/CDW adoption, and the decommissioning of legacy data pipelines.
Advocate for the adoption of industry standards (e.g., MISMO) to enhance data consistency, interoperability, and regulatory compliance.
Innovate and develop reports, tools, and processes to meet emerging data requirements for mission analytics and reporting.
Strategically develop and oversee Tableau dashboards to support robust reporting, analysis, and critical business processes.
Manage mission-critical data management workflows that enable analytics and reporting capabilities, including the preparation of securities data.
Organize and lead quarterly quality control meetings to ensure comprehensive data accuracy and uniformity in FHFA reporting.
Collaborate with audit teams to promptly address and resolve any identified audit findings.
Provide detailed requirements for Affordable Housing Goals and Duty to Serve reporting applications, and conduct user acceptance testing to verify functionality.
Partner with the Single-Family Analytics Center of Excellence (SF Analytics COE) to support the data domain and uphold best practices.
Lead the preparation and processing of Home Mortgage Disclosure Act (HMDA) data for analytics and reporting applications.
Analyze FHFA reference files and prepare data for dissemination to other teams, such as RDS.
Design and deliver data products that offer a comprehensive view of the loan, borrower, and collateral lifecycle.
Oversee the ingestion, transformation, and quality management of high-value datasets (e.g., acquisition, appraisal, servicing, performance data).
Implement data quality, metadata management, anonymization, and privacy-preserving capabilities to meet compliance requirements.
Collaborate with Analytics, Risk, Credit Policy, and Technology teams to align data solutions with business needs.
Serve as a subject matter expert for MISMO adoption and data standards across origination, collateral, and loan lifecycle.