IT Risk Tech Lead - AI and Model Risk Governance

Freddie Mac•McLean, VA

15h

About The Position

The Enterprise Operations & Technology (EO&T) Risk Governance Team provides risk management support to the maturing of EO&T division’s model risk governance process and the enterprise-wide adoption of AI risk governance framework. We work closely with all three lines of defense, and business partners on a series of risk governance and reduction activities. Our Impact: Develop and operationalize scalable model governance processes within EO&T division to promote effective model governance compliant with regulatory requirements Support enterprise Artificial Intelligence (AI) adoption through the development and enhancement of critical governance technology solutions Execute risk mitigation processes to ensure compliance with model and AI governance requirements Develop and deliver management reporting and insights to stakeholders on the model and AI governance and compliance programs Facilitate continuous monitoring, reporting, and improvement of compliance with regulatory and corporate requirements Your Impact: Lead the development, implementation, and continuous improvement of model governance operating processes Drive process automation initiatives to improve operational efficiency and scalability Lead and support operational control testing activities to assess control execution effectiveness Coordinate and manage third-party vendor risk governance activities, including vendor SOC and Enhanced Information Risk Review Lead AI Clearinghouse operations and strategic initiatives, including AI solutions and use case intake governance, stakeholder support, anomaly resolution, management reporting, and platform enhancement Partner with cross-functional stakeholders to enhance and implement platform and tool enhancements and operational improvements Support management in executing strategic initiatives, risk mitigation efforts, and other high-priority projects Serve as a trusted advisor to business, technology, and risk partners on model, AI, vendor governance requirements

Requirements

Bachelor’s degree in a relevant ﬁeld such as Computer Science, Information Systems, Finance, Risk Management or a related field.
Minimum of 8 years of experience in model risk governance, AI/ML risk management, operational risk management, technology risk management, or related governance and compliance functions
Experience developing, implementing, or operating model governance and AI governance, and ability to interpret regulatory requirements and translating governance standards into operational processes and controls
Working knowledge of the COSO internal control framework, the NIST controls framework, operational risk management principles, and financial industry governance and compliance practices
Previous experience in IT audit, operational risk management, regulatory compliance, or a Big Four consulting
Strong technical, analytical, problem-solving, and critical thinking skills
Excellent written, verbal, and interpersonal communication skills
Self-motivated and proactive professional with a strong sense of ownership and accountability
Ability to adapt changes positively and quickly
Ability to manage competing priorities and deliver high-quality results in a fast-paced environment
Ability to work independently while fostering collaboration across diverse teams and stakeholders
Intellectual curiosity and passion for learning emerging technologies, AI and model trends, and evolving regulatory requirements
Strong organizational and project management skills with attention to detail and excellence.
Ability to drive process improvements, automation, and operational excellence.

Nice To Haves

Advanced degrees (MBA, MS, or equivalent) preferred
Relevant professional certiﬁcations such as CISA, CISSP, CISM, CPA, CIA Security+, or similar certifications are strongly desired

Responsibilities

Lead the development, implementation, and continuous improvement of model governance operating processes
Drive process automation initiatives to improve operational efficiency and scalability
Lead and support operational control testing activities to assess control execution effectiveness
Coordinate and manage third-party vendor risk governance activities, including vendor SOC and Enhanced Information Risk Review
Lead AI Clearinghouse operations and strategic initiatives, including AI solutions and use case intake governance, stakeholder support, anomaly resolution, management reporting, and platform enhancement
Partner with cross-functional stakeholders to enhance and implement platform and tool enhancements and operational improvements
Support management in executing strategic initiatives, risk mitigation efforts, and other high-priority projects
Serve as a trusted advisor to business, technology, and risk partners on model, AI, vendor governance requirements