Jobs at Fannie Mae

• Provide expert advice and guidance to the team in building, developing, or designing product functionality.
• Coordinate product and/or business owners across divisions or product lines, engineers, and platform teams to define business needs and advise on current capabilities, feature or data availability, and alternative uses

• Design, develop, and maintain Python- and SQL-based data pipelines, analytical utilities, and automated validation routines for large financial datasets.
• Partner with Finance, Treasury, Risk, Accounting, and Technology stakeholders to translate reporting and analytical needs into technical designs, data models, and reusable solutions.

• Co-built Enterprise Priority Use-cases: Partner directly with COO leadership and senior executives to identify, co‑design, and deliver high‑priority AI use cases. Lead hands‑on solution delivery—rapid prototyping, pilots, and scaled deployments. Act as a trusted AI delivery partner to the business, balancing speed with enterprise rigor.

• Build your career at a company that combines enterprise-scale impact with a mission-driven culture focused on creating opportunities for people and communities nationwide.
• Work in a technology-enabled environment that encourages curiosity, innovation, and the responsible use of emerging tools, including artificial intelligence.

Playing an essential role in the U.S.

• Gain hands-on experience as a real contributor working on projects and business challenges that help shape the future of housing finance.
• Build your career at a company that combines enterprise-scale impact with a mission-driven culture focused on creating opportunities for people and communities nationwide.

• Gain hands-on experience as a real contributor working on projects and business challenges that help shape the future of housing finance.
• Build your career at a company that combines enterprise-scale impact with a mission-driven culture focused on creating opportunities for people and communities nationwide.

• Provide Data, Analytics & AI architecture leadership and oversight for mission-critical data, analytics, AI/ML, and generative AI platforms.
• Define and maintain Data, Analytics & AI architecture strategies, reference architectures, technology standards, reusable patterns, and multi-year transformation roadmaps.

• Define how marketing should use data to measure and optimize performance and personalization strategies.
• Develop and implement comprehensive data strategies that align with marketing objectives and business goals.

• 8 years of experience.
• Extensive experience in cybersecurity engineering, infrastructure or network security, cloud engineering, application security, software engineering, or a related technical discipline.

• Independently assess customer business needs, processes, and technology workflows to identify adoption opportunities, address obstacles, and support successful delivery of Fannie Mae digital products and programs.
• Present complex topics into clear guidance for lender clients and internal stakeholders, while ...

• Lead end-to-end delivery coordination across multiple product domains.
• Manage portfolio-level dependencies and execution risks.

• Develop moderately complex solutions for application design and IT infrastructure components.
• Understand the end-to-end performance of IT platforms.