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 Principal, Data, Analytics & AI Architect, you will provide strategic architecture leadership for Fannie Mae’s enterprise data and AI platforms. You will define standards and roadmaps, guide key technology decisions, and ensure solutions are secure, scalable, resilient, and aligned with risk, and regulatory priorities. You will partner with business and technology leaders to guide investment decisions, evaluate architectural trade-offs, and ensure platform capabilities deliver measurable business outcomes.
- Provide Data, Analytics & AI architecture leadership and oversight for mission-critical data, analytics, AI/ML, and generative AI platforms.
- Define and maintain Data, Analytics & AI architecture strategies, reference architectures, technology standards, reusable patterns, and multi-year transformation roadmaps.
- Participate/ Lead architecture reviews and assess solutions for scalability, security, resilience, interoperability, cost efficiency, technical debt, and build-versus-buy considerations.
- Lead/ Establish architecture and AI governance in partnership with cybersecurity, risk, compliance, legal, data governance, and platform teams.
- Serve as an advisory to senior leadership on technology investments, platform modernization, architectural risks, and alignment with business and regulatory objectives.
There is 1 opening for this position which can be based in our Reston, VA office.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
- 8 years of progressively responsible experience across application development, data science and analytics, enterprise architecture, and technology strategy.
- Deep expertise in cloud, data, and AI/ML concepts, supported by hands-on experience designing and architecting data and AI capabilities on cloud.
- Proven expertise in leading large-scale, cross-functional enterprise-wide initiatives involving data and AI/ML platforms with measurable business outcomes.
- Strong understanding of data governance, model risk, responsible AI, and regulatory expectations in financial services or similarly regulated environments.
- Proven experience leading complex, cross-functional initiatives while aligning multiple stakeholders and balancing competing priorities.
- Demonstrated success delivering complex, high‑stakes enterprise solutions in regulated or risk‑sensitive environments
- Experience supporting executive leadership, governance committees, and strategic decision-making processes.
- Strong written and verbal communication skills with the ability to communicate complex information to executive audiences.
- Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
Desired Experiences
- Proven experience architecting and providing enterprise-level oversight for AI, machine learning, generative AI, data, and analytics platforms.
- Demonstrated ability to define enterprise architecture strategies, reference architectures, technology standards, reusable patterns, and multi-year transformation roadmaps aligned with business objectives and measurable outcomes.
- Strong expertise in AWS cloud and Databricks, including the architecture of scalable, secure, resilient, and mission-critical data and AI platforms.
- Broad knowledge across application, integration, data, infrastructure, security, and business architecture domains, with the ability to evaluate architectural trade-offs, technical debt, platform maturity, and build-versus-buy decisions.
- Knowledge of AI governance frameworks, responsible AI principles, model risk management, and industry-leading practices.
- Experience establishing architecture governance, decision rights, and accountability across centralized platform teams, business units, and product teams.
- Experience in financial services or similarly regulated environments, with a strong understanding of risk management, compliance, and regulatory requirements.
- Strong executive communication and stakeholder-management skills, including experience supporting governance reporting, organizational change, and senior-level decision-making.
- Bachelor’s degree or equivalent combination of education and relevant experience.
Enterprise Architecture - Data Architecture - Principal
200,000-269,000
JR2809
Qualifications
Active Directory (AD), Active Directory (AD), AI Governance, AI Platforms, Amazon Web Services (AWS), Analytics, Artificial Intelligence (AI), Atlassian JIRA, Authentication Management, Backup and Recovery (Software), Business Insight Skills, Business Process Management Skills, Calendar and Scheduling Tools, Cleaning and Transforming Data, Cloud Technology, Collaborating Cross-Functionally, Communicating in Technical Writing, Communicating Technical Information, Communication, Configuration Management (CM), Conflict Resolution, Coordination, Customer and Market Insights, Customer Relationship Management (CRM), CyberArk {+ 65 more}Education:
Bachelor's Level Degree (Required)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:
200000to
269000Skills Required
- At least 8 years of progressively responsible experience across application development, data science and analytics, enterprise architecture, and technology strategy.
- Deep expertise in cloud, data, and AI/ML concepts, with hands-on experience designing and architecting data and AI capabilities on cloud platforms.
- Experience leading large-scale, cross-functional, enterprise-wide initiatives involving data and AI/ML platforms with measurable business outcomes.
- Strong understanding of data governance, model risk, responsible AI, and regulatory expectations in financial services or similarly regulated environments.
- Experience leading complex cross-functional initiatives, aligning stakeholders, and balancing competing priorities.
- Demonstrated success delivering complex, high-stakes enterprise solutions in regulated or risk-sensitive environments.
- Experience supporting executive leadership, governance committees, and strategic decision-making processes.
- Strong written and verbal communication skills, including communicating complex information to executive audiences.
- Curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence.
- Experience architecting and providing enterprise-level oversight for AI, machine learning, generative AI, data, and analytics platforms.
- Strong expertise in AWS and Databricks, including architecture of scalable, secure, resilient, mission-critical data and AI platforms.
- Broad knowledge across application, integration, data, infrastructure, security, and business architecture domains.
- Knowledge of AI governance frameworks, responsible AI principles, model risk management, and industry practices.
- Experience establishing architecture governance, decision rights, and accountability across platform, business, and product teams.
- Experience in financial services or similarly regulated environments with knowledge of risk management, compliance, and regulatory requirements.
- Strong executive communication and stakeholder-management skills, including governance reporting and organizational change.
- Bachelor's degree or equivalent combination of education and relevant experience.
Fannie Mae Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Fannie Mae and has not been reviewed or approved by Fannie Mae.
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Retirement Support — Employer 401(k) contributions are highlighted as a standout, alongside programs like student‑loan repayment and financial‑wellness resources. These offerings signal strong long‑term savings support.
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Parental & Family Support — Generous paid parental leave, adoption and surrogacy assistance, and backup caregiving options are part of the package. These benefits demonstrate robust support for growing families and caregivers.
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Leave & Time Off Breadth — Generous PTO, sick leave, paid holidays, and paid volunteer time are emphasized. This breadth supports work‑life balance and schedule flexibility.
Fannie Mae Insights
What We Do
Fannie Mae serves the people who house America. We are a leading source of financing for mortgage lenders, providing access to affordable mortgage financing in all markets at all times. Our financing makes sustainable homeownership and workforce rental housing a reality for millions of Americans. We also help make possible the popular 30-year, fixed-rate mortgage, which provides homeowners with stable, predictable mortgage payments over the life of the loan. Our tools and resources help homebuyers, homeowners, and renters understand their housing options. We put our customers and partners at the center of everything we do. We apply our experience and expertise to deliver innovative solutions to help our customers succeed. At Fannie Mae, our people pour their hearts into everything they do. Because we know it makes a real difference in others’ lives. We are committed to moving forward with our partners to build a stronger, safer, more efficient housing finance system. Join us to help shape the future of housing: http://fanniemae.com/careers.
