Gen AI Engineering, Sr. Program Manager

Overview

At Freddie Mac, our mission of Making Home Possible is what motivates us, and it’s at the core of everything we do. Since our charter in 1970, we have made home possible for more than 90 million families across the country. Continue your career journey where your work contributes to a greater purpose.

Position Overview: Freddie Mac Enterprise Risk organization is seeking a Gen AI Engineering, Sr. Program Manager to lead the planning, prioritization, and execution of our GenAI initiatives across the organization. This role will drive end-to-end GenAI delivery operating model, from use case intake and value assessment to roadmap execution and executive reporting. You will work at the center of the product, engineering, data, and business teams, ensuring GenAI efforts are aligned with strategic priorities, delivered on time, and governed responsibly.

• Establish and run GenAI PMO, providing GenAI portfolio leadership and driving operating cadence, governance, and delivery standards

• Build and maintain GenAI use case intake and prioritization framework, partnering with the GenAI executive Working Group on prioritization

• Own the GenAI portfolio roadmap, balancing quick wins, foundational capabilities, and strategic investments

• Track delivery progress, dependencies, risks, and outcomes

• Lead and coordinate a cross-functional GenAI delivery team

• Set clear goals and milestones and ensure consistent execution using Agile methodologies

• Partner with the Executive Working Group to align GenAI efforts with business strategy and investment priorities

• Facilitate executive reviews, decision forums, and roadmap approvals

• Translate technical GenAI concepts into clear business impact and ROI narratives

• Manage expectations and communication with senior leaders and key stakeholders

• Monitor value realization and ensure GenAI solutions are delivering measurable outcomes, defining KPIs and value metrics

At Freddie Mac, we are at the forefront of technological innovation, developing AI solutions that transform complex business challenges into streamlined, automated processes. By leveraging cutting-edge AI Agents, Agentic Workflows, and Gen AI Applications, we enable businesses to enhance their operational efficiency, make data-driven decisions, and unlock new opportunities for growth. Our commitment to integrating advanced technologies like LLMs and multi-modal AI into enterprise solutions ensures that we remain leaders in the AI industry, delivering impactful and sustainable results for our clients.

As a Gen AI Engineering, Sr. Program Manager, your role is pivotal in shaping the future of AI-driven business solutions. You will have the opportunity to establish GenAI portfolio governance and delivery standards. You will develop GenAI roadmap and work with senior Enterprise Risk executives on alignment of GenAI initiatives to business priorities and strategies. You will work with a talented team of GenAI engineers and data scientists to drive delivery and business impact, setting milestones and ensuring consistency.

You will facilitate the GenAI adoption across Enterprise Risk, driving innovation and return on investment.

• Bachelor's degree in computer science, Computer Engineering, IT or a related field. Advanced studies/degree preferred.

• 10+ years of experience in program management, digital transformation, product leadership, or PMO leadership roles.

• 2+ years of management experience is a MUST

• 3+ years working with or leading AI, ML, or GenAI initiatives

• 8+ years leading cloud-based solutions, leveraging AWS, RESTful APIs, and microservice architectures

• Proven experience running Agile cross-functional, executive-visible programs

• Strong understanding of GenAI concepts, including LLMs, RAG, and agentic workflows

• Experience building prioritization frameworks, roadmaps, and delivery metrics

• Knowledge of programming languages, such as Python, Java, Java Script

• Strong knowledge of software development lifecycle

• Exceptional communication and executive presence

• Experience working in regulated industries

• Experience defining value realization and ROI models for AI initiatives