Technology & AI Adoption Specialist – Operations

The Technology & AI Adoption Specialist – Operations will drive the uptake of AI across IRC’s global operations by working directly with teams to identify, test, and scale high-value use cases. This role ensures AI tools translate into real improvements in how IRC works by managing AI opportunities across internal functions and supporting adoption through to sustained use.

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, ensuring the pipeline reflects both operational need and development capacity
• 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 (e.g., efficiency gains, time saved, adoption), providing visibility on progress, key bottlenecks, and lessons learned
• Identify and prioritize high-impact AI use cases across internal functions, in close collaboration with AI Governance and Risk Transformation Lead and relevant product owners in functional domains
• 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 (e.g., user stories, workflows) that enable technical teams to build without additional requirements gathering
• Co-design, test, and iterate solutions with end users and technical teams, including supporting user acceptance testing
• Support AI deployment into live workflows, ensuring solutions are practical, ambitious, adopted, and sustained
• Document and package successful use cases for replication and scale; ensure learnings from each use case deployment improves the next
• Define and maintain appropriate handoff points with development team throughout product lifecycle
• Lead AI adoption within targeted teams, ensuring solutions are embedded into redesigned workflows rather than layered onto existing ones
• Serve as the primary point of contact for end-users post-deployment, absorbing support and iteration requests before they reach the development team
• Identify and address barriers to adoption, including resistance, capability gaps, and process misalignment
• Develop practical adoption strategies that drive consistent, confident use
• Design and deliver targeted, role-specific learning and practical resources (e.g., workflows, prompts, job aids)
• 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 that reinforce adoption and learning

Requirements

• Minimum 6 years of experience in change management, digital transformation, business analysis, learning & development, or related roles
• Strong familiarity with AI tools and applications, and ability to translate their capabilities and limitations into practical use cases and workflow improvements
• 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, including the ability to diagnose operational challenges, define clear problem statements and requirements, and analyze and redesign workflows to embed solutions into day-to-day operations
• Experience designing and delivering training or capacity-building initiatives
• Strong data orientation, including the ability to use data to inform decisions and track impact
• Excellent interpersonal skills and track record of building networks (e.g., champions, communities of practice) 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
• Fluency in English required; proficiency in French, Spanish, or Arabic preferred

Skills

• Change Management
• Digital Transformation
• Business Analysis
• Learning and Development
• AI Tools and Applications
• Technology Adoption
• Problem Diagnosis
• Workflow Redesign
• Training Delivery
• Capacity Building
• Data Driven Decision Making
• Impact Tracking
• Stakeholder Engagement
• Behavior Change Facilitation
• International Development Experience
• Humanitarian Experience
• Matrix Organization Collaboration
• Operational Challenge Analysis

Languages

English, French, Spanish, Arabic