Enterprise Applied AI & Analytics Lead

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

THE IMPACT YOU WILL MAKE

As the Enterprise Applied AI & Analytics Lead Associate, you will serve as a subject matter expert in analytics and modeling, guiding the team in the application of advanced analytical techniques to solve complex business problems. You will drive innovation and continuous improvement initiatives, leveraging data-driven insights to optimize processes and drive business growth. In this role, you will:

• Lead the development and execution of advanced analytical projects, including usage of predictive modeling and optimization techniques.
• Partner with business leaders to identify opportunities for applying analytics to improve operational efficiency and effectiveness.
• Mentor junior and senior team members, providing technical guidance and support in the use of analytical tools and methodologies.
• Stay abreast of industry trends and emerging technologies in analytics and modeling, recommending strategies for adoption and implementation.
• Collaborate with stakeholders to define KPIs and develop performance metrics to measure the impact of analytical solutions or business proposals.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences

• 4 years
• Practical experience working with GenAI or LLM-enabled solutions (e.g., prompt engineering, embeddings, semantic chunking, retrieval-augmented generation) within a governed enterprise environment.
• Experience operating in AWS-based data science environments, such as Amazon SageMaker or equivalent, including notebooks, model experimentation, and secure access patterns.
• Hands-on analytics and modeling experience using Python (e.g., pandas, NumPy, scikit-learn) for data preparation, feature engineering, model development, and evaluation in enterprise datasets.
• Strong analytical problem-solving and communication skills, with the ability to translate ambiguous business or risk problems into structured analytical approaches and clearly explain results to technical and non-technical stakeholders.

Desired Experiences

• Bachelor degree or equivalent
• Experience building or supporting end-to-end GenAI or analytics products, not just ad-hoc analysis-e.g., from use-case framing through prototyping, validation, and scaling with appropriate controls.
• Familiarity with model risk management, AI governance, or control frameworks, including awareness of data lineage, explainability, validation, and operational risk considerations.
• Experience with modern data or AI platforms and tooling (e.g., embeddings, vector databases, ML pipelines, experiment tracking, or dashboarding tools) in a regulated or large-enterprise setting.
• Advanced degree or certifications in a quantitative or technical field (e.g., Data Science, Statistics, Computer Science, Analytics) or relevant cloud/AI certifications (AWS, ML, or GenAI-focused)

Target Salary: $123, 000 to $161,000 a year

Chief Control Office - Analytics & Modeling - Lead Associate

#LI-SB1

Qualifications
Artificial Intelligence (AI), Generative AI, Generative AI Agents, Mathematics Modeling, Microsoft Power Apps, Microsoft Power Automate, Microsoft Power Platform, Model Risk, Model Validation

Education:

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:
123000
to
161000

Client-provided location(s): Reston, VA

Job ID: Fannie-JR2237

Employment Type: FULL_TIME

Posted: 2026-03-24T20:03:04