Lead Business Intelligence & AI Solutions Analyst – Single Family

The Fannie Mae; Plano (TX); Sur place; USD 123 000 - 161 000; Plein temps

Résumé du poste

Fannie Mae is seeking a Lead Associate on the Collateral Strategy & Innovation team to shape collateral and valuation capabilities through data, analytics, tech, and AI. You will translate business needs into analytical solutions and drive modernization across appraisal data, platforms, and processes.

The role requires strong analytical skills, hands-on programming (Python/R), and collaboration across business and technology teams to move concepts from exploration to implementation.

Qualifications

• Requires data analytics to solve business problems.
• Strong SQL skills for analyzing complex datasets.
• Hands-on experience with Python or R for analysis.
• Experience with business intelligence and data visualization tools.

Responsabilités

• Lead complex analysis using structured and unstructured data to identify trends and insights.
• Apply SQL and data visualization to explore data and support decisions.
• Use Python or R to automate work and prototype solutions.
• Translate business problems into clear data requirements and technology needs.
• Partner across Product, Technology, Analytics and other teams to drive modernization initiatives.

Connaissances

SQL

Data analytics

Data visualization

Translating problems to analytics

Analytical thinking

Cross-functional collaboration

Formation

Bachelor's degree

Outils

Python

R

BI Tools

Description du poste

• Bachelor’s degree or equivalent relevant experience.

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 a Lead Associate on the Collateral Strategy & Innovation team, you will help shape the future of Fannie Mae's collateral and valuation capabilities through data, analytics, technology, and artificial intelligence.

This role is ideal for someone who combines strong analytical thinking with hands-on technical capability and can translate between business needs, data, and technology. You will contribute to strategic initiatives spanning appraisal and valuation modernization, collateral data and platforms, workflow and process improvement, and the responsible application of AI and automation.

As a valued colleague on our team, you will lead complex analysis, help translate business challenges into actionable requirements and solutions, and guide the development of applications and business intelligence capabilities. You will partner across Business, Product, Technology, Analytics, Policy, and other teams to move innovative concepts from exploration through implementation.

What You Will Do

• Lead complex analysis using structured and unstructured data to identify trends, risks, opportunities, and actionable business insights.
• Apply SQL, data analysis, and visualization skills to explore data, test hypotheses, evaluate outcomes, and support decision-making.
• Use Python, R, or comparable analytical tools to perform analysis, automate repeatable work, prototype solutions, and evaluate new capabilities.
• Identify and evaluate practical applications of artificial intelligence, generative AI, machine learning, and automation to improve collateral decisioning, efficiency, quality, and customer outcomes.
• Develop prototypes and proofs of concept to test ideas and demonstrate business value.
• Translate complex business problems into clear requirements, analytical approaches, data needs, and technology capabilities.
• Analyze processes and systems to identify root causes, control gaps, manual work, and opportunities for simplification or automation.
• Partner across Product, Technology, Analytics, Policy, Operations, and other stakeholders to advance modernization initiatives from discovery through implementation.
• Support appraisal and valuation modernization initiatives involving collateral data, valuation platforms, property data, UAD 3.6, appraisal alternatives, and emerging capabilities.
• Communicate complex analytical and technical findings clearly and influence decisions across technical and non-technical audiences.

Required

• Bachelor’s degree or equivalent relevant experience.
• Demonstrated experience using data and analytics to solve complex business problems and develop actionable insights.
• Strong SQL skills and experience analyzing complex datasets.
• Hands-on experience with Python, R, or comparable analytical/programming tools.
• Experience with business intelligence and data visualization tools.
• Experience translating business problems into analytical approaches, requirements, or technology solutions.
• Demonstrated ability to lead complex work and collaborate effectively across business and technical teams.

Desired

• Experience with artificial intelligence, generative AI, machine learning, automation, or other emerging technologies.
• Experience developing prototypes, proofs of concept, analytical tools, or automated solutions.
• Experience with mortgage lending, collateral risk, appraisal, property valuation, real estate data, or housing finance.
• Familiarity with appraisal modernization, UAD 3.6, Collateral Underwriter®, appraisal alternatives, or related valuation technologies.
• Experience with process improvement, technology implementation, or evaluating data and technology capabilities.

Qualifications

AI Systems, AI Systems, Amazon Web Services (AWS), Artificial Intelligence (AI), Business Insight Skills, Business Intelligence (BI), Business Problems, Business Process Management Skills, Customer and Market Insights, Data Analysis, Data Analysis Interpretation, Database Analysis, Data Mining, Data Visualization, Generative AI, Impact and Risk Assessment, Improving Operations, Influencing Skills, Machine Learning (AI), Predictive Modeling, Process Design and Implementation {+ 16 more}

Education

Bachelor's Level Degree (Required)

The future is what you make it to be.

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.

Requisition Compensation

123000 to 161000