Strategic Transformation Senior

Freddie Mac•McLean, VA

2d•$112,000 - $168,000

About The Position

The Senior Professional – AI Engagement & Adoption is responsible for advancing enterprise AI adoption through workforce engagement, enablement, and capability building. This role focuses on translating AI capabilities into practical, scalable usage across the division by designing engagement programs, supporting learning initiatives, and driving adoption behaviors. The position plays a key role in embedding AI into day-to-day workflows by fostering a culture of innovation, enabling employees, and ensuring measurable business value from AI investments. We are helping shape how AI is adopted across the enterprise by turning emerging capabilities into practical solutions that improve how work gets done. Our team drives awareness, builds confidence, and enables employees to use AI responsibly and effectively in their daily work. Through engagement programs, learning experiences, community building, and cross-functional collaboration, we help accelerate adoption, scale successful practices, and deliver measurable business value from AI investments. In this role, you will help drive enterprise AI adoption by designing and executing programs that increase awareness, engagement, and practical usage of AI tools and workflows. You will support initiatives such as promptathons, hackathons, demo days, innovation challenges, and learning programs that encourage experimentation and scalable adoption. You will help build and sustain an AI Community of Practice and champion network, enabling knowledge sharing and peer-to-peer support across business units. You will partner with business, technology, HR, Learning & Development, and communications teams to identify adoption needs, address barriers, and embed AI into workforce upskilling and day-to-day business processes. You will also contribute to measuring success by tracking adoption metrics, reporting on trends, and helping quantify business impact through productivity gains, time savings, and quality improvements. Your work will help create a culture where AI is accessible, practical, and value-driven.

Requirements

Bachelor’s degree or equivalent experience
5–7 years of experience in digital adoption, transformation, learning & development, or change management
Experience supporting or delivering enterprise programs (e.g., training, engagement, or community initiatives)
Demonstrated ability to work cross-functionally in a matrixed organization

Nice To Haves

Preferred experience with Generative AI tools and use cases (e.g., Copilot, ChatGPT, or similar platforms)
Preferred familiarity with prompt-based workflows and AI use case development
Preferred experience supporting Communities of Practice or champion networks
Strong analytical skills with experience tracking adoption and performance metrics

Responsibilities

Craft AI Engagement & Adoption Programs to execute enterprise-wide initiatives such as promptathons, hackathons, demo days, and innovation challenges.
Standardize engagement playbooks for scaling across business units and convert outputs like prompts and workflows into reusable assets.
Support the Community of Practice (CoP) by enhancing the enterprise AI community for better engagement and knowledge sharing, including developing content plans and maintaining an AI knowledge hub.
Partner with business and technology teams to share use cases and best practices, identifying adoption needs, and supporting scalable approaches across the organization.
Build an AI learning ecosystem from awareness to advanced levels, delivering role-based training aligned with business needs, and integrating AI into workforce upskilling efforts.
Support the AI Champions and Super User network to enable champions to coach peers, demonstrate AI usage, and provide real-time feedback.
Define and track AI adoption metrics, develop dashboards for visibility, and quantify business value through efficiency gains and time savings.
Promote the team's success in AI adoption by partnering with Marketing and Communications to share success stories and case studies, highlighting productivity gains and identifying individuals and teams demonstrating effective AI usage, while promoting "AI for good" examples to reinforce positive adoption behaviors.