Technology & AI Adoption Specialist – Operations

Job Overview

The International Rescue Committee (IRC) seeks a Technology & AI Adoption Specialist – Operations. The role drives the uptake of AI across IRC’s global operations by working directly with teams to identify, test, and scale high‑value use cases. The Specialist manages a pipeline of AI opportunities across internal functions (Finance, Supply Chain, HR), embedding with teams to diagnose needs, co-design solutions, and support adoption through to sustained use.

Acting as a bridge between operational teams (product owners) and technical developers, the Specialist owns problem definition and user adoption so that development resources are deployed against well‑scoped, high‑value briefs.

• AI Demand Pipeline & Performance Management
  • 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.
• AI Use Case Development & Deployment
  • 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 (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 deployment improve the next.
  • Define and maintain appropriate handoff points with development team throughout product lifecycle.
• Adoption & Capacity Building (Deployment‑Specific)
  • 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.

• Position
  
  Reports to:
  
  AI Governance and Transformation Lead / Vice President Business Operations & Analytics, and Program Technology Innovations Lead.
• Key Relationships: AI/Technology development teams, IT, Data, Product Owners in functional departments (Finance, Supply Chain, HR, business development), regional and country teams;
  Learning & Development team;
  Staff & Culture, AI Task Force, Communications teams.

• 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…