Lead Associate, AI Platform Product Management

## Lead Associate, AI Platform Product Management Apply remote type:
Flex locations:
Plano, TX:
Reston, VAtime type:
Full time posted on:
Posted Yesterday job requisition :
JR2678

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 home ownership 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, AI Platform Product Management, you will be responsible for delivering core capabilities of Fannie Mae’s enterprise AI Platform. You will balance innovation velocity with enterprise-grade security, governance, and cost controls, ensuring the platform enables safe, scalable, and responsible AI adoption across the enterprise. This role combines hands-on product leadership, vendor/ partner relationship management and cross‐functional influence across Engineering, Security, Risk, Finance, Legal, Data Science, and Business teams.

You will lead and deliver AI platform capabilities that directly enable Fannie Mae’s AI strategy, while developing product talent and ensuring strong execution discipline.
* ** Platform and Product leadership**- Own and manage the product vision and roadmap for core AI Platform capabilities, aligning priorities to enterprise AI strategy and business outcomes.
* ** Core Platform Capabilities
- ** Owns foundational AI platform services that enable consistent, reliable, and compliant development, deployment, and operation of AI solutions at enterprise scale.
* ** Agentic and Developer Platform**- Provides standardized frameworks, runtimes, memory, and orchestration to build, deploy, and manage AI agents reliably across research and production environments.
* ** Models and Tools** - Manages enterprise access to models, developer tools, evaluation frameworks, and prompt assets to accelerate high‐quality, repeatable AI development.
* ** Client & Stakeholder engagement**- Partners with business teams to onboard priority use cases, translate needs into platform capabilities, and drive adoption through a strong developer and user experience

There is 1 opening for this position which can be based in our Plano TX or Reston VA office.
** THE EXPERIENCE YOU BRING TO THE TEAM
**** Minimum Required Experiences
*** 5+ years of experience in product management, platform products, or technology strategy
* Demonstrated experience working on complex platforms or developer‐focused products
* Experience working with AI/ML and data platforms,, or cloud infrastructure
* Strong product strategy, roadmap, and execution skills
* Ability to translate complex technical concepts into clear business value
* Experience partnering across engg., security, finance, and risk teams
* Strong stakeholder management, communication, and influencing skill
** Desired Experiences
*** Experience with agentic AI systems, LLM platforms, or AI dev tooling
* Familiarity with Fin Ops, observability, and platform governance
* Experience operating in regulated or risk‐sensitive environments
* Background in financial services, data platforms, or enterprise AI preferred
** Enterprise
- Machine Learning Engineer
- Lead Associate****
- **** JR2678
* * Qualifications Algorithm Development, Big Data, Data Modeling, Data Science, Deep Learning, Distributed Systems, Machine Learning (ML), Python (Programming Language), Software Engineering, Structured Query Language (SQL)

Education:

Bachelor's Level Degree (Required)
The future is what you make it to be. Discover compelling opportunities at  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…