Fannie mae
Principal, Data, Analytics & Ai Architect
Overview
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.
About Fannie mae
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.
Requirements & Eligibility
- 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.
Key Responsibilities
- 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.
Disclaimer: Trace Hiring is an independent job board. We are not directly affiliated with Fannie mae. Please verify all details on the official company application portal.