Overview
Drives the uptake of AI across IRC’s global operations by identifying, testing, and scaling high-value use cases to ensure AI tools translate into real improvements in how IRC works.
Key Responsibilities
- Establish and manage a structured pipeline of AI opportunities across departments, including clear problem definitions, requirements, and expected ROI
- Maintain a shared intake and prioritization process with technical teams
- Track use cases from intake through pilot, iteration, and scale
- Coordinate with cross-functional teams to align on development, deployment, and support
- Monitor outcomes and performance against defined success criteria
- Identify and prioritize high-impact AI use cases across internal functions
- Work directly with teams to understand workflows, diagnose pain points, and define clear problem statements and requirements suited to AI
- Map current-state and future-state processes and translate needs into developer-ready artifacts
- Co-design, test, and iterate solutions with end users and technical teams
- Support AI deployment into live workflows
- Document and package successful use cases for replication and scale
- Define and maintain appropriate handoff points with development team throughout product lifecycle
- Lead AI adoption within targeted teams
- Serve as the primary point of contact for end-users post-deployment
- Identify and address barriers to adoption
- Develop practical adoption strategies
- Design and deliver targeted, role-specific learning and practical resources
- Develop clear, practical communications that translate AI initiatives into accessible, relevant narratives tied to impact
- Create materials such as FAQs, use cases, and success stories
Required Experience
Minimum 6 years of experience in change management, digital transformation, business analysis, learning & development, or related roles. Strong familiarity with AI tools and applications. Experience driving adoption of AI and other technology solutions in complex, matrixed organizations, from problem identification through implementation and sustained use. Strong problem-solving and analytical skills. Experience designing and delivering training or capacity-building initiatives. Strong data orientation. Excellent interpersonal skills and track record of building networks to support adoption. Demonstrated ability to drive alignment and behavior change without direct authority. Experience working in international development, humanitarian, or nonprofit contexts strongly preferred. Ability to operate in low-resource, high-complexity environments.
