Fannie Mae

Business Analysis & User Acceptance Testing – Lead Associate

2 Locations
Full-time
$141,000 - $184,000
Posted Nov 6, 2026

Skills

Agile
Communication
Data Analysis
Data Visualization
Java
Jira
Large Language Models
Microsoft Excel
Power BI
Problem Solving
Python
Requirements Management
SQL
Statistics
Tableau
Teamwork

Job description

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

As a valued colleague on our team, you will act as a team lead to deliver business and data insights, recommend product and process enhancements, and identify opportunities for automation and continuous improvement. You will partner with business, product, data, and technology teams to translate business needs into clear requirements and ensure solutions meet expectations through effective User Acceptance Testing (UAT).

This role combines business analysis, data analysis, UAT, and process improvement, with an emphasis on leveraging SQL, data management, AI, and automation tools to improve quality, efficiency, and business outcomes.

THE IMPACT YOU WILL MAKE

The Business Analysis & User Acceptance Testing – Lead Associate role will offer you the flexibility to make each day your own, while working alongside people who care so that you can deliver on the following responsibilities:

•Gather, analyze, document, and validate business, functional, and data requirements.

•Translate business needs into user stories, acceptance criteria, process flows, and testable requirements.

•Develop and execute UAT plans, test scenarios, test cases, test data, and expected results.

•Coordinate UAT activities, manage defects, perform retesting, and support business sign-off.

•Use SQL to analyze, reconcile, and validate data across systems and identify data-quality issues.

•Perform source-to-target, data transformation, and business-rule validation.

•Partner with business, data, and technology teams to investigate and resolve functional and data-related issues.

•Leverage approved AI and automation tools to improve requirements analysis, documentation, testing, data analysis, and reporting.

•Identify opportunities to automate repetitive activities, simplify processes, reduce manual effort, and improve efficiency.

•Communicate project status, risks, issues, dependencies, recommendations, and testing results to stakeholders.

THE EXPERIENCE YOU BRING TO THE TEAM

Minimum Required Experiences:

•4 years of relevant experience

•Experience in business analysis and requirements gathering, with hands-on User Acceptance Testing (UAT) experience.

•Demonstrated experience planning and executing UAT, including developing test scenarios and test cases, documenting results, identifying defects, performing retesting, and supporting business sign-off.

•Strong attention to detail with the ability to identify discrepancies, validate expected results, and ensure accuracy and completeness of requirements and testing outcomes.

•Experience developing business requirements, user stories, acceptance criteria, and process flows.

•Working knowledge of SQL and experience querying relational databases for data analysis, reconciliation, and validation.

•Experience with data validation, data quality, and data management concepts.

•Experience using requirements, testing, and collaboration tools such as Jira, Confluence, or similar platforms.

•Strong analytical, problem-solving, communication, and stakeholder-management skills.

•Experience collaborating with business and technology teams in an Agile delivery environment.

•Prior development or coding experience and working knowledge of a programming language such as Python, Java, or similar technologies.

•Bachelors degree in Business Analytics, Computer Science, Data Science, Engineering Finance, Math, Physics, Statistics, or a related field

•Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work

Desired Experiences:

•Masters or PhD* in Data Science, Economics, Math, Statistics, or a related field (*or comparable experience)

•Advanced SQL skills and experience working with large or complex data sets.

•Experience with data management, data mapping, ETL/data integration, and source-to-target validation.

•Experience with reporting and data visualization tools such as Excel, Power BI, Tableau, or similar tools.

•Experience using Generative AI or AI-assisted tools to improve analysis, documentation, testing, and productivity.

•Experience identifying and implementing AI, automation, and process-improvement opportunities.

•Experience using Python or similar programming languages for data analysis, testing, automation, or process improvement.

•Experience with complex system implementations, data migrations, integrations, or business transformation initiatives.

Enterprise Model Risk - Data Science - Lead Associate

Target Pay Range: $141,000 - $184,000 a year

#LI-Hybrid #LI-ME1

Qualifications

Education:

Bachelor'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:

141000 to

184000