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 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: 200000 to 269000

Requirements

Must-haves

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.
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.
Strong expertise in AWS cloud and Databricks, including the architecture of scalable, secure, resilient, and mission-critical data and AI platforms.
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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

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Platform: workday
Effort: long