Senior Director Single Family Acquisition Data Transformation

Position Overview

Freddie Mac isseekinga strategic and collaborative Senior Director to lead data modernization initiatives for theSingle FamilyAcquisitions (SFA) division. This leader will serve as the primary liaison betweenEnterpriseOperations &Technology(EO&T) Single Family Dataand SFA (data producers data consumers anddatastakeholders)ensuring partnership and alignment across all SFA data transformation efforts. The Senior Director will drive current and future data modernization initiatives within SFAincluding the transition from legacydataplatforms adoption of business process-driven data models and implementation ofnewcentralized cloud-baseddata platformswhile leveraging data as a critical enabler to support innovation operational efficiency and business value for SFA.

Your Impact

• Lead SFA Data Modernization:
  Spearhead and champion data modernization efforts for the SFA division including initiatives such as:

• Adopting the enterprise business model a business process-driven approach to managing defining storing and accessing SFA data across Freddie Mac.

• Retiring the legacy corporate data warehouse a centralized relational database thatconsolidatesdisparate sources fromtransactionalprocessing/multiplesystems to make historical and current SFA business-relevant data accessible.

• Migrating toa new centralized cloud-based data platform serving as thesingle sourceof truth for SFA and enterprise data.

• Leadingand supportingadditional/ newdata modernization initiatives for SFA as they arise ensuring data isleveragedas a foundational enabler for transformationincluding but not limited to advanced analytics and GenAI (Generative AI) use cases.

• Work Closely with SFA Data Producers and Consumers:
  Collaborate directly with both data producers and data consumers to ensure alignment transparency and shared understanding of requirements and deliverables.

• Liaison Across Teams:
  Act as the primary bridge between EO&T Single Family DataandSFA(data producers data consumers and data stakeholders)facilitatingseamless communication understanding and collaboration to advance SFA data initiatives.

• Program Execution:
  Drive the planning and delivery of SFA-specific data modernization roadmaps coordinating with partner teams to ensure successful migration from legacy systems to modern cloud-baseddataplatforms and frameworks for SFA.

• Champion Partnership:
  Foster a culture of collaboration transparency and shared ownership within SFA ensuring all initiatives are executed in partnership with EO&T andSingle FamilyData.

• Data Product Development:
  Supportthe creation and adoption of standardized high-quality Data Products for SFA aligned with enterprise data standards and evolving SFA business needs.

• Metrics & Transparency:
  Establish and track metrics/KPIs tomonitorprogress quality and adoption of SFA data modernization initiatives providing clear updates to SFA stakeholders.

• Risk Reduction & Efficiency:
  Guide SFA teams in retiring legacy platforms reducing operational risk and streamlining data controls through improved governance and modern architecture.

• Stakeholder Engagement:
  Build strong relationships across SFA business and technology teams empowering partners to activelyparticipatein SFA data modernization efforts.

• Communication & Change Management:
  Develop compelling written materials and presentations to communicate the vision progress and benefits of SFA data modernizationincluding how SFA data enables innovation and transformationto diverse audiences.

Qualifications

• 15 years of experiencein data strategy product/program management or engineering preferably in financial services or mortgage industry

• Bachelors degreein Computer Science Information Systems or related field;Mastersdegreeor MBA preferred

• Strong background in data management including acquisition storage governance and security of data within an organization. Experiencewithpolicies procedures and strategies to ensure data quality accessibility and compliance.

• Experience with data modelingto support the design structure and organization of data for business and analytics purposes.

• Experience in data science including technical application and analysis of data to derive insights and drive decision-making.Proficiencywith advanced techniques such as statistics machine learning and artificial intelligence to process analyze and interpret data.

• Proventrack recorddelivering large complex data transformation projectsinvolving multiple teams and business units

• Deep understanding of modern data platforms data governance and business process-driven data modeling

• Experience with cloud-native data solutions event-driven architectures and enterprise data frameworks

• Demonstrated ability to synthesize business and technical needs deliver value and drive adoption of new methodologies

• Strong analytical strategic and problem-solving skills

• Excellent written and verbal communication skills including experience presenting to senior management

• High comfortoperatingin ambiguityand managing multiple concurrent assignmentsand competing priorities

• Demonstrated leadershipin product development ownership and change management

• Acute business acumenand understanding of organizational issues and challenges

• Track recordofestablishingand maintaining strong relationshipsacross business and technology teams

Keys to Success in this Role

• Exceptional communication and stakeholder management skills - at all levels (product teams up to the executive team)

• Organized detail-oriented and strategic thinker

• Ability to transform complex SFA data modernization conceptsincluding leveraging SFA data as an enabler for innovationinto actionable plans

• Ability to drive alignment and adoption across diverse SFA teams including data producers and consumers

• Strong leadership presence and influence at all levels of the SFA organization

• Commitment to partnership and collaborative execution within SFA