Business Analysis & User Acceptance Testing – Lead Associate

Fannie Mae • Washington, DC

3d • $141,000 - $184,000

About The Position

As a team lead, the Business Analysis & User Acceptance Testing – Lead Associate delivers business and data insights, recommends product and process enhancements, and identifies opportunities for automation and continuous improvement. The role partners 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).

The position combines business analysis, data analysis, UAT, and process improvement, with an emphasis on using SQL, data management, AI, and automation tools to improve quality, efficiency, and business outcomes. Employees are generally expected to work onsite regularly at their designated office; the in-office cadence is determined by the manager, and living within a reasonable commute is preferred unless the job is listed as remote. The role is eligible to participate in a Fannie Mae incentive program, subject to its terms.

Requirements

• At least 4 years of relevant experience.
• Experience in business analysis and requirements gathering, including hands-on User Acceptance Testing (UAT).
• 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 and 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.
• Bachelor’s degree in Business Analytics, Computer Science, Data Science, Engineering, Finance, Math, Physics, Statistics, or a related field.
• Curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how work is done.

Nice To Haves

• Master’s 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.

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.

Benefits

• Incentive program participation, subject to program terms.
• Health, life, voluntary lifestyle, and other benefits and perks supporting physical, mental, emotional, and financial well-being.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level