Operational Risk AI and Automation Engineering Technical Lead

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:

Single Family Portfolio & Servicing is seeking a highly experienced Senior Operational Risk Lead to serve as a strategic risk advisor and integrator supporting the expansion of artificial intelligence, Generative AI, Agentic AI, cloud-based services, data platforms, and emerging technologies across the Division.

This role will be key to moving use cases from idea to production while ensuring controls are in place and risks are mitigated. The ideal candidate will partner closely with business, technology, cybersecurity, model risk, information risk, resiliency, and third-party risk teams to help enable responsible innovation while ensuring risks are appropriately identified, governed, mitigated, and monitored.

The successful candidate will bring deep technology expertise together with practical governance and risk management experience. The individual will help business leaders distinguish risks that can be engineered out through solution design, risks requiring controls and monitoring, and risks that management may consider accepting within established risk appetite and governance processes.

The role will:

• Enable responsible and timely adoption of AI and emerging technology by providing integrated technology risk guidance.
• Connect specialized risk domains into a coherent view.
• Translate complex architectures, data flows, and AI capabilities into clear business risk implications and practical mitigation options.
• Strengthen the integration of AI risk considerations into Freddie Mac governance, assessment, inventory, monitoring, and reporting processes.

Our Impact:

At Freddie Mac, our mission of Making Home Possible drives everything we do. As we advance into an AI-powered future, we are transforming how risk management is designed, implemented, and scaled—moving from manual processes to intelligent, automated, and embedded risk capabilities.

This role is part of a next-generation initiative to reimagine risk management through AI and automation, where controls are engineered into systems, not just documented.

Your Impact:

• Serve as a senior technology risk advisor for AI, Generative AI, Agentic AI, machine learning, cloud-native solutions, APIs, and other emerging technologies.
• Support implementation and continued evolution of Freddie Mac's AI Risk Governance Framework, associated tools, templates, inventories, and monitoring practices.
• Advise business and technology teams across the AI lifecycle, from ideation and design through implementation, production use, monitoring, and material change.
• Evaluate emerging AI capabilities and identify material technology, operational, cybersecurity, data, model, resiliency, third-party, regulatory, and compliance risks.
• Execute AI risk assessments and governance reviews.
• Manage AI inventories and ensure cases progress appropriately, track costs and return on investment, metrics, key risk indicators, and executive-level reporting.
• Partner with business and technology leaders to enable responsible adoption of AI and emerging technologies.
• Facilitate risk discussions across Technology, Cybersecurity, Architecture, Legal, Compliance, Privacy, Model Risk Management, Data, Third-Party Risk, Operational Resiliency, and Operational Risk.
• Develop practical recommendations that balance innovation, customer and business value, operational effectiveness, regulatory expectations, and risk management.
• Support risk acceptance, issue identification, escalation, remediation planning, and governance decisions for material concerns.
• Communicate complex technical and risk topics in concise language appropriate for executives, governance forums, and delivery teams.

Qualifications:

• Bachelor's degree in Computer Science, Information Technology, Information Systems, Cybersecurity, Engineering, Data Science, Risk Management, or a related discipline, advanced degree preferred.
• 8-10 years of relevant experience in technology risk, cybersecurity risk, information or data risk, AI or model risk, technology governance, enterprise risk management, technology architecture, or a closely related field.
• Demonstrated experience evaluating APIs and integrations, identity and access management, data architectures and data flows, cloud platforms and cloud security, AI and machine learning solutions, large language models, technology resiliency, and third-party technology services.
• Strong understanding of technology control environments, secure solution design, technology lifecycle management, risk assessment, issue management, and governance practices.
• Experience advising senior leaders and presenting complex technology and risk matters in clear, decision-oriented language.
• Ability to work across organizational boundaries and influence outcomes without direct authority.

Keys to Success in this Role:

• Quickly understands complex architectures, integrations, data flows, identity patterns, cloud services, and AI solution components.
• Connects multiple risk domains and identifies the risks that matter most to the decision at hand.
• Frames clear options for engineering out risk, implementing controls, monitoring residual risk, or pursuing risk acceptance.
• Converts technical detail into concise, actionable messages for senior leaders and governance forums.
• Builds alignment among delivery teams, risk partners, control functions, and deep subject matter experts.
• Operates proactively in a fast-changing environment and drives issues through resolution with disciplined follow-through.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity/expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants:  Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.

Notice to External Search Firms: Freddie Mac partners with BountyJobs for contingency search business through outside firms. Resumes received outside the BountyJobs system will be considered unsolicited and Freddie Mac will not be obligated to pay a placement fee. If interested in learning more, please visit www.BountyJobs.com and register with our referral code: MAC.

Time-type:Full timeFLSA Status:Exempt

Freddie Mac offers a comprehensive total rewards package to include competitive compensation and market-leading benefit programs. Information on these benefit programs is available on our Careers site.

This position has an annualized market-based salary range of $126,000 - $188,000 and is eligible to participate in the annual incentive program. The final salary offered will generally fall within this range and is dependent on various factors including but not limited to the responsibilities of the position, experience, skill set, internal pay equity and other relevant qualifications of the applicant.