Strategic Transformation AI Senior Lead

Freddie Mac•McLean, VA

About The Position

Our Single-Family division is seeking a highly skilled Strategic Transformation Senior Business Lead to establish, standardize, and optimize the operating model for our Generative AI program across the organization. This role combines strategic program management and product management responsibilities to ensure AI initiatives are governed effectively, prioritized appropriately, and delivered in a way that creates measurable business value. The role will lead the development of scalable frameworks, portfolio processes, product roadmaps, and cross-functional delivery models to support the full lifecycle of AI-enabled capabilities in a highly regulated financial environment. We support the Single-Family Acquisitions division head and divisional leadership by integrating Generative AI across the division to streamline operations, improve decision quality, and accelerate digital transformation—empowering teams to deliver measurable business value.

Requirements

Bachelor’s Degree in Business, or related field (Master’s Degree preferred) with 10+ years of related experience and 4+ years of management experience
10+ years of program or project management experience, preferably in technology or financial services
Knowledge of AI/ML technologies, particularly generative AI applications and their business implications
Proven ability to manage large, complex programs with cross-functional teams in a matrixed environment
Experience in regulatory environments and familiarity with compliance requirements in the financial industry
Exceptional communication, negotiation, and customer management skills

Nice To Haves

Certification in program or project management (e.g., PMP, PgMP, Agile) is a plus
Familiarity with financial services processes, products, and operations is preferred
Strong problem-solving and analytical skills with the ability to make data-driven decisions
Experience with GenAI/AI program leadership, including use-case identification, value tracking, responsible AI governance, and change adoption, preferred
Familiarity with mortgage industry concepts (selling/servicing, underwriting, credit policy, loan delivery, investor guidelines) or adjacent capital markets domains, preferred
MBA or advanced degree in business, public policy, analytics, or a related field (or equivalent experience), preferred

Responsibilities

Design and implement comprehensive governance frameworks, templates, and standardized processes to manage AI initiatives from ideation and discovery through development, deployment, adoption, and optimization.
Support and manage the roadmap for Generative AI capabilities in partnership with business, technology, data, and control partners, ensuring alignment with strategic priorities, user needs, and enterprise objectives.
Establish and maintain structured intake, evaluation, and prioritization processes for AI use cases and initiatives, balancing value, feasibility, risk, regulatory requirements, and organizational capacity.
Partner with stakeholders to define business problems, user needs, product requirements, use cases, and success metrics that guide solution design and delivery.
Create and maintain dashboards and KPI frameworks to monitor initiative status, roadmap progress, adoption, customer impact, operational effectiveness, and business value realization.
Coordinate across business units, technology teams, data teams, model governance, legal, compliance, and other stakeholders to ensure effective execution, decision-making, and issue resolution.
Develop communication, training, and adoption strategies to support successful rollout and sustained use of AI-enabled capabilities across the organization.
Ensure product and program processes incorporate appropriate governance, compliance, and control requirements consistent with operating in a regulated financial services environment.
Operate as the “integrator” for the division: Connect strategy, execution, and day-to-day operations so leaders have clarity, momentum, and control.
Build trusted partnerships: Earn credibility with policy, product, technology, risk, legal/compliance, and enterprise teams to unblock decisions quickly.
Deliver outcomes, not activity: Define success metrics early; manage to benefits realization and transparent reporting.
Balance innovation with safety: Advance GenAI and digital modernization while embedding responsible AI, privacy, security, and model risk management practices.
Create a scalable operating model: Standardize governance, intake, prioritization, and communications so transformation becomes repeatable and sustainable.
Lead through change: Drive adoption with strong change management—stakeholder engagement, training, communications, and feedback loops.
Maintain customer focus: Ensure transformation outcomes measurably improve clarity, effectiveness, and customer experience.