Senior Change Management Officer (AI Adoption)-ITDAI DC (Contractual)

International Monetary Fund•Washington, DC

11d

About The Position

The IMF is rapidly scaling the use of artificial intelligence to strengthen institutional effectiveness and modernize how staff work across the Fund. To support this transformation, ITD seeks to hire a Contractual Senior Change Management Officer (AI Adoption) to drive Fund‑wide adoption of AI tools, ensure responsible use, and build the practices, skills, and ways of working needed for AI to be successfully adopted at scale. This contractual role is based in the Digital Adoption & Change Management Unit of the Information Technology Department (ITDAI DC) and reports directly to the Unit Chief. The Senior Change Management Officer (AI Adoption) will collaborate closely with business departments, the AI Division, AI Groups, and drive coherent, sustainable, and institutionally aligned AI adoption.

Requirements

Educational development, typically acquired through the completion of an advanced university degree in computer science, engineering, mathematics or related field of study plus a minimum of (8) eight years of relevant professional experience; or a bachelor’s degree in computer science or a related field of study plus a minimum of fourteen (14) years of relevant professional experience, is required.
Strong experience leading change management for large technology programs, involving AI.
Proven ability to manage complex stakeholder environments—engaging senior leaders, business departments, technical teams, and governance bodies in a coordinated manner.
Demonstrated success designing and delivering clear, targeted communications for major technology rollouts, including change announcements, user guidance, leadership updates, and program briefings.
Hands‑on experience managing organizational readiness, including assessing impacts, identifying risks, and preparing departments for new tools, workflows, and behaviors.
Experience coordinating training and user‑enablement activities, working with learning teams to ensure training aligns to change impacts and user needs.
Ability to produce concise, executive‑ready materials, including decision briefs, status updates, and risk summaries.
Excellent facilitation skills, with confidence engaging with diverse audiences—HQ teams, field offices, economists, analysts, IT specialists, and senior management.
Strong judgment and understanding of responsible AI considerations, including guardrails, communications risk, and behavioral expectations.
Prosci ADKAR or similar formal change‑management certification.

Nice To Haves

Strategic thinking and systems level problem solving
Empathy driven change leadership and stakeholder engagement
Adaptability across cultures, disciplines, and seniority levels
Strong judgment, discretion, and commitment to responsible AI
Creative and innovative mindset with ability to design high impact adoption experiences

Responsibilities

Lead Adoption and Change Management for the AI Capital Program
Serve as the primary lead for all adoption and change management activities under the AI Capital Program, ensuring that new AI capabilities, tools and changes are successfully introduced, understood, and embedded across the Fund.
Develop and execute a unified adoption strategy for the program, aligning workstreams, communications, training, and governance to deliver a coherent Fund‑wide AI transformation experience.
Coordinate closely with technical teams, program management, and departmental stakeholders to manage impacts, readiness, risks, and behaviors required for institution‑wide adoption of AI solutions.
Lead AI Program Communications
Develop and deliver clear, timely, and coordinated communications for all AI program activities—including rollout messaging, leadership updates, user guidance, change announcements, and readiness materials—ensuring consistency and avoiding message overload.
Coordinate Training and User Enablement Activities
Align training with change needs.
Ensure that training, role-based guidance, and learning materials support adoption and directly address user questions, barriers, and required behavior‑based guidance, and learning materials support adoption and directly address user questions, barriers, and required behaviors.
Ensure a Consistent Institutional Experience
Sequence change, communication, and enablement activities across workstreams so staff experience a unified, coordinated rollout.
Reduce duplication, prevent conflicting messages, and maintain alignment across AI adoption activities.
Measure Value, Adoption, and Institutional Impact
Establish KPIs and define metrics for AI Program adoption, and productivity outcomes.
Produce executive‑ready analyses, dashboards, and adoption insights for senior management.
Implement feedback loops to sustain and continuously improve adoption.