Enterprise Applied AI & Analytics Lead

Fannie Mae • Reston, VA

3d • $123,000 - $161,000 • Onsite

About The Position

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:

Requirements

• 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.

Nice To Haves

• 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)

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1,001-5,000 employees