Gen AI Engineering, Sr. Program Manager

JOB DESCRIPTION

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. Join an organization 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 tie, and governed responsibly.

Key Responsibilities :

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

Our Impact :

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.

Your Impact :

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.

Qualifications :

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

10+ year 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, JavaScript

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

Keys to Success in this Role :

Program Management :  Work effectively with Gen AI scientists, UX designers, product managers, and data engineers to build comprehensive Gen AI experiences and deliver results. Strong communication skills and a team-oriented mindset will be key.

Business-First Mindset : Focus on solving business problems and driving ROI rather than chasing technology novelty, combined with strong ability to balance capacity, risk, and regulatory requirements.

Strong Executive Communication :  Communicate clearly, concisely, and confidently with senior leaders, enabling informed decision-making.

Current Freddie Mac employees please apply through the internal career site.

We consider all applicants for all positions without regard to gender, race, color, religion, national origin, age, marital status, veteran status, sexual orientation, gender identity / expression, physical and mental disability, pregnancy, ethnicity, genetic information or any other protected categories under applicable federal, state or local laws. We will ensure that individuals are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

A safe and secure environment is critical to Freddie Mac’s business. This includes employee commitment to our acceptable use policy, applying a vigilance-first approach to work, supporting regulatory mandates, and using best practices to protect Freddie Mac from potential threats and risk. Employees exercise this responsibility by executing against policies and procedures and adhering to privacy & security obligations as required via training programs.

CA Applicants : Qualified applications with arrest or conviction records will be considered for employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act.