Director, Internal Audit Technology

Freddie Mac•McLean, VA

2d•$203,000 - $305,000

About The Position

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Join an organization where your work contributes to a greater purpose. Position Overview: Freddie Mac’s Internal Audit function is transforming how assurance is derived and documented. This role is accountable for providing the platform to enable automated, data-driven, technology-enabled audit coverage. This leader oversees a multidisciplinary team that builds and maintains the platform for automated control testing, automated workpapers, population-based analytics, and expands automation through the responsible use of GenAI. Success in this role requires a learning-oriented, curious and experimental mindset. This leader must be someone who sees constraints as design challenges, embraces ambiguity, and is energized by reimagining how Internal Audit can operate with greater speed, precision, and scalability. Our Impact: Internal Audit is responsible for providing independent and objective assurance about the governance, risk management and controls of Freddie Mac. We report to the Audit Committee of the Board of Directors. Our stakeholders are broad – encompassing all of Freddie Mac and our regulator. Your Impact: In this role, you will be an integral part of Internal Audit’s continued transformation, reporting directly to the Chief Audit Officer. You are committed to: Collaborate with the Internal Audit leadership to provide tools to redefine how Internal Audit works and results in a more efficient, technology-forward audit function that delivers deeper assurance with fewer manual activities by Increasing automated test coverage across key risk areas. Reducing reliance on manual, people-dependent testing. Establishing a repeatable, scalable automation framework that becomes core to the audit lifecycle. Measuring business value. Evaluate, update and execute the existing roadmap for platform and automation expansion. Additionally, maintain the current automated testing platform to be stable, trusted, well controlled, and extensible to become the backbone of automated audit execution that Ingests and processes population-level data from multiple systems. Supports reusable automated control tests aligned to audit methodology. Provides intuitive interfaces for auditors to explore results and exceptions. Ensures data quality, lineage, and governance are embedded by design. Expand automation through GenAI that is a step-change in audit productivity and insight, powered by safe and thoughtful AI adoption by Using GenAI to accelerate test creation, documentation, and exception analysis. Designing natural-language tools that help auditors query data and understand results. Embedding responsible AI principles of transparency, explainability, and control. Lead a high-performing, curious, multidisciplinary team that is known for innovation, technical excellence, and continuous learning by Blending agile developers, analytics, AI, and audit expertise. Experimenting, prototyping, and learning quickly. Challenging assumptions and seeking creative solutions. Operating with strong agile development discipline and risk management rigor. Strengthen partnerships across the enterprise that are well-integrated and trusted across the organization by collaborating with Audit leaders to identify automation opportunities. IT and Data teams across the company to obtain access to data. Model Risk, IT, Compliance, and Risk Management to align on GenAI controls.

Requirements

12+ years in Internal Audit, Risk, Data Engineering, Analytics, IT development, or related fields.
4+ years of management experience.
Hands-on experience with data pipelines and technology development and platforms.
Familiarity with GenAI tools and their practical application.
Background in cloud engineering, data architecture, or software development.

Nice To Haves

Experience working in publicly traded and/or regulated companies.
Experience with audit methodology and control frameworks.
Knowledge of AI governance, model risk management, or responsible AI frameworks.
Professional certifications related to agile/project delivery (SAFe, PMP, CSM, CSPO), data and analysis (CAP, AWS/Azure data or analytics), AI and emerging technology (AWS Certified Machine Learning or Microsoft Azure AI Fundamentals, CDMP).

Responsibilities

Collaborate with the Internal Audit leadership to provide tools to redefine how Internal Audit works and results in a more efficient, technology-forward audit function that delivers deeper assurance with fewer manual activities by Increasing automated test coverage across key risk areas.
Reducing reliance on manual, people-dependent testing.
Establishing a repeatable, scalable automation framework that becomes core to the audit lifecycle.
Measuring business value.
Evaluate, update and execute the existing roadmap for platform and automation expansion.
Maintain the current automated testing platform to be stable, trusted, well controlled, and extensible to become the backbone of automated audit execution that Ingests and processes population-level data from multiple systems.
Supports reusable automated control tests aligned to audit methodology.
Provides intuitive interfaces for auditors to explore results and exceptions.
Ensures data quality, lineage, and governance are embedded by design.
Expand automation through GenAI that is a step-change in audit productivity and insight, powered by safe and thoughtful AI adoption by Using GenAI to accelerate test creation, documentation, and exception analysis.
Designing natural-language tools that help auditors query data and understand results.
Embedding responsible AI principles of transparency, explainability, and control.
Lead a high-performing, curious, multidisciplinary team that is known for innovation, technical excellence, and continuous learning by Blending agile developers, analytics, AI, and audit expertise.
Experimenting, prototyping, and learning quickly.
Challenging assumptions and seeking creative solutions.
Operating with strong agile development discipline and risk management rigor.
Strengthen partnerships across the enterprise that are well-integrated and trusted across the organization by collaborating with Audit leaders to identify automation opportunities.
IT and Data teams across the company to obtain access to data.
Model Risk, IT, Compliance, and Risk Management to align on GenAI controls.