Manager Model Risk Management Jobs in Flower Mound, TX

Playing an essential role in the U.S. economy, Fannie Mae is foundational to housing finance. Here, your expertise can help fuel purpose-driven innovation that expands access to homeownership and affordable rental housing across the country. Join Fannie Mae to grow your career and help people find a place to call home.

Job Description

We are seeking a strategic and forward‑thinking leader to serve as the Head of Data Platform & AI First Line Risk Management, responsible for building and leading a best‑in‑class first line risk management function within our technology and data organization. This role oversees risk management for enterprise data platforms, AI/ML systems, and emerging technologies—ensuring innovation is delivered responsibly through strong governance, proactive risk identification, and integrated, scalable control design.

You will play a critical role in shaping Fannie Mae’s data and AI risk governance strategy and trusted AI risk management framework, partnering closely with senior leaders to strengthen enterprise risk management practices and guardrails across platforms and technologies

Position is based out of Plano, TX. Fannie Mae does provide the opportunity for relocation assistance.

The Impact You Will Make

You will enable responsible AI and data innovation by embedding strong governance, controls, and risk discipline directly into technology and platform lifecycles.

Key Responsibilities

• Define and execute the vision, strategy, and roadmap for Data Platform and AI first line risk management.
• Build and lead a high‑performing team of risk professionals aligned to data, AI, and platform domains.
• Partner with senior technology, data, and business leaders to embed risk management into product, platform, and engineering lifecycles.
• Act as a trusted advisor to executive leadership on AI, data, and emerging technology risks, including evolving regulatory expectations.
• Establish and mature risk frameworks for:
  • AI/ML models and agent‑based systems
  • Enterprise data platforms (data lakes, warehouses, streaming, and cloud ecosystems)
  • Data governance, privacy, and model risk
• Drive proactive risk identification, assessment, and mitigation across the technology and data stack.
• Oversee risk appetite alignment, issue management, and control effectiveness.
• Lead governance for responsible and trusted AI, including explainability, bias and fairness, transparency, third‑party and vendor AI risk, and controls for agentic and autonomous systems.
• Design and embed scalable, automated first‑line controls into platforms and engineering workflows, including CI/CD pipelines, data pipelines, and AI lifecycle processes.
• Ensure controls are measurable, testable, and aligned to enterprise standards.
• Collaborate closely with second‑line risk, compliance, audit, and regulatory partners.
• Represent the function in governance forums, risk committees, and executive reviews.

Qualifications

• 15+ years of experience in technology risk, data risk, AI risk, operational risk, or related disciplines.
• Deep understanding of first line risk management within highly regulated organizations.
• Proven leadership experience building and scaling risk or technology functions.
• Familiarity with AI governance frameworks and regulatory expectations.
• Executive presence with the ability to influence senior and C‑suite stakeholders.
• Strong strategic thinking combined with hands‑on execution capability.
• Bachelor’s degree required.
• Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.

Preferred Qualifications

• Advanced degree (MBA, MS in Data/AI, or related field)

Qualifications

Active Directory (AD), Active Directory (AD), Alteryx, Amazon Web Services (AWS), Application Development, Artificial Intelligence (AI), Atlassian JIRA, Authentication Management, Backup and Recovery (Software), Business Insight Skills, Business Process Management Skills, Cleaning and Transforming Data, Cloud Services Management, Cloud Technology, Collaborating Cross-Functionally, Communication, Configuration Management (CM), Conflict Resolution, Data Analysis, Data Analysis Interpretation, Database Management, Data Governance, Data Lake, Data Mining, Data Pipelines {+ 26 more}

Education:

Bachelor's Level Degree (Required), Master's Level Degree

The future is what you make it to be. Discover compelling opportunities at Fanniemae.com/careers.

For most roles, employees are expected to work onsite on a regular basis at their designated office location. In-office work cadence is determined by your manager. Proximity within a reasonable commute to your designated office location is preferred unless the job is noted as open to remote.

Fannie Mae is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, religion, sex, national origin, disability, age, sexual orientation, gender identity/gender expression, marital or parental status, or any other protected factor. Fannie Mae is committed to providing reasonable accommodations to qualified individuals with disabilities who are employees or applicants for employment, unless to do so would cause undue hardship to the company. If you need assistance using our online system and/or you need a reasonable accommodation related to the hiring/application process, please complete this form.

The hiring range for this role is set forth below. Final salaries will generally vary within that range based on factors that include but are not limited to, skill set, depth of experience, certifications, and other relevant qualifications. This position is eligible to participate in a Fannie Mae incentive program (subject to the terms of the program). As part of our comprehensive benefits package, Fannie Mae offers a broad range of Health, Life, Voluntary Lifestyle, and other benefits and perks that enhance an employee's physical, mental, emotional, and financial well-being. See more here.

Requisition compensation:

200000

to

269000