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

Reporting to the Chief Financial Officer, the Senior Vice President, Enterprise Modeling and Analytics will lead Fannie Mae’s enterprise modeling and advanced analytics functions, setting the strategic vision and operating model required to position the company as an innovative, data-driven organization. The SVP will oversee the development, implementation, monitoring, and lifecycle management of enterprise modeling applications that support risk measurement, financial valuation, forecasting, stress testing, business performance, and strategic decision-making.

The SVP will also be responsible for building and scaling Fannie Mae’s enterprise predictive analytics capabilities, including the responsible deployment of data science, artificial intelligence, and machine learning tools. Working closely with Technology and Data leadership, the SVP will help modernize the architecture, platforms, and operating capabilities required to move analytical solutions from experimentation into controlled production at scale, while establishing reusable methods, services, and capabilities that can be leveraged across the enterprise.

A critical component of the role will be ensuring that innovation is supported by strong governance and disciplined execution. The SVP will provide first-line executive accountability for model governance and partner broadly across business, technology, risk, finance, legal, compliance, information security, internal audit, and independent model risk management to enable innovation while maintaining safety, soundness, transparency, regulatory readiness, and accountability. The leader will also help shape enterprise investment and capability priorities by establishing measurable business-value, risk-reduction, productivity, decision-quality, adoption, and mission-impact metrics for major modeling and analytics initiatives.

Key Responsibilities

• Lead the independent development, production implementation, monitoring, and lifecycle management of enterprise modeling applications to support risk measurement, financial valuation, forecasting, stress testing, business performance, and strategic decision-making.

• Build out enterprise predictive analytics center of excellence capabilities to enhance model delivery, establish reusable methods and services, and accelerate integration of trusted data and models into enterprise- and business-level use cases and workflows.

• Enable the consistent and responsible deployment of innovative predictive tools and reusable capabilities across data science, artificial intelligence, and machine learning techniques, with disciplined processes for experimentation, industrialization, deployment, and monitoring.

• Identify, interpret, and apply industry, regulatory, technology, and analytical trends, sharing insights in a compelling manner to enable business decisions and inform enterprise investment, governance, and capability roadmaps.

• Be a thought leader on emerging digital and analytics innovation opportunities and develop enterprise-wide vision, operating model, and supporting strategy for modeling and advanced analytics.

• Recruit, retain, develop, and grow required talent across quantitative modeling, technology, data science, analytics, governance, product management, and commercial-minded business expertise; build succession pipelines for critical leadership and specialist roles.

• Provide first-line executive accountability for model governance, including standards for model identification, risk classification, development, validation readiness, implementation, use, change management, monitoring, documentation, issue management, and retirement.

• Partner with Technology and Data leadership to define and modernize the architecture, platforms, and operating capabilities required for scalable model development and analytics, including cloud, compute, model deployment, monitoring, observability, lineage, and reusable analytical services.

• Establish measurable business-value, risk-reduction, productivity, decision-quality, adoption, and mission-impact metrics for major modeling and analytics investments; rationalize overlapping capabilities and redirect investment toward scalable, reusable solutions.

• Partners across business, technology, risk, finance, legal, compliance, information security, internal audit, and independent model risk management to enable innovation while maintaining safety, soundness, transparency, and accountability.

• Represent Fannie Mae, as appropriate, with industry groups, academic institutions, technology providers, regulators, and other external stakeholders on modeling, analytics, and emerging technology topics.

Candidate Qualifications

Enterprise Modeling and Analytics

• 15+ years of progressively responsible experience across modeling, analytics, quantitative disciplines, or data strategy, including senior leadership experience in a complex environment.
• Deep understanding of quantitative modeling, statistical methods, machine learning, model lifecycle management, and advanced analytics.

Enterprise Strategy and Transformation

• Proven ability to establish enterprise vision, operating models, investment priorities, and multi-year plans across modeling, analytics, data, governance, and technology.
• Track record of driving transformation and moving analytical capabilities from experimentation into controlled production at scale.

Model and Governance Risk

• Strong experience managing model, operational, and execution risk, with demonstrated expertise in model governance, lifecycle controls, monitoring, issue management, and regulatory readiness.

Executive Influence and Partnership

• Strong relationship management and executive influence skills, with the ability to translate complex quantitative, technology, and risk topics into clear business implications for senior decision makers.

Talent Leadership

• Proven ability to lead, develop, and motivate multidisciplinary teams, including senior leaders and highly specialized quantitative and technical talent.

Target Pay Range: $300,000 - 450,000

Qualifications

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.