Job Posting Organization: The International Monetary Fund (IMF) is an international organization established in 1944, with a mission to promote global economic stability and growth. The IMF has a diverse workforce of approximately 2,700 employees from over 150 countries, working to foster global monetary cooperation, secure financial stability, facilitate international trade, promote high employment and sustainableeconomic growth, and reduce poverty around the world. The organization operates in multiple countries and is headquartered in Washington, D.C.
Job Overview: The Change Management Officer (AI Upskilling) is a pivotal role within the IMF, focusing on enhancing AI literacy and capabilities across the organization. This position is situated within the Digital Adoption & Change Management Unit of the Information Technology Department (ITDAI DC). The officer will be responsible for designing, delivering, and scaling AI learning programs that align with the Fund's AI strategy and Digital Dexterity agenda. The role requires collaboration with various departmental training focal points and the AI Division to ensure that all staff members, regardless of their level, acquire the necessary skills, confidence, and mindset to utilize AI responsibly and effectively in their daily tasks. The position emphasizes the importance of continuous learning and practical application of AI tools and concepts.
Duties and Responsibilities:
AI Learning Programs and Curriculum Development: The officer will translate organizational priorities into practical learning paths that cover essential AI topics such as AI Foundations, GenAI tools, AI agents, responsible AI practices, prompt engineering, and advanced practitioner skills. They will support a structured, role-based AI learning framework that aligns with the Fund's evolving institutional needs and persona-based learning levels. Additionally, they will integrate principles of AI Digital Dexterity, continuous learning, and practical fluency into all upskilling programs.
Program Delivery and Facilitation: The officer will design and deliver high-quality AI learning sessions, hands-on labs, role-based workshops, and practical scenario exercises that promote responsible and effective AI use across departments. They will lead flagship programs, including AI Foundation Learning and Applied AI training for teams adopting specific solutions. The officer will act as the primary facilitator for both in-person and virtual AI training sessions.
Partnership, Coordination & Stakeholder Engagement: The officer will partner with internal AI groups on enterprise AI Learning & Talent Development initiatives and coordinate with the AI Division to ensure that training content remains aligned with technical capabilities, governance, and emerging AI tools.
Content Design and Continuous Improvement: The officer will develop practical learning assets such as playbooks, scenario sheets, prompt libraries, micro-learning modules, demos, and hands-on exercises. They will continuously update content to reflect the rapidly evolving AI landscape and new Fund-approved tools, ensuring that all training materials incorporate responsible AI practices and data protection requirements.
Required Qualifications: Candidates must possess an advanced university degree in Learning & Development, Education Technology, Computer Science, Information Systems, or a related field, along with a minimum of 4 years of relevant professional experience. Alternatively, a bachelor's degree in computer science or a related field, combined with at least 10 years of relevant professional experience, is acceptable. Additionally, certifications in AI, instructional design, or change management (such as Prosci ADKAR) are preferred. Candidates should demonstrate a strong understanding of AI concepts, GenAI capabilities, prompt engineering, and the implications of AI for workflows and governance. Experience in delivering technology learning programs, digital upskilling curricula, or AI training at scale is essential, as is familiarity with AI learning platforms and instructional design principles.
Educational Background: The position requires an advanced university degree in Learning & Development, Education Technology, Computer Science, Information Systems, or a related field. A bachelor's degree in computer science or a related field is acceptable if accompanied by significant professional experience. Relevant certifications in AI, instructional design, or change management are also preferred, indicating a commitment to professional development in this rapidly evolving field.
Experience: The ideal candidate should have a minimum of 4 years of relevant professional experience with an advanced degree or at least 10 years of experience with a bachelor's degree. This experience should include a strong background in AI concepts, digital upskilling, and the delivery of technology learning programs. Candidates should have a proven track record of facilitating workshops and high-engagement learning activities, particularly in the context of AI and technology.
Languages: While the job description does not specify mandatory languages, proficiency in English is likely essential given the international nature of the IMF and the requirement for effective communication with diverse stakeholders. Additional language skills may be beneficial but are not explicitly stated as requirements.
Additional Notes: This position is a one-year contractual appointment, with the possibility of renewal for up to four years of cumulative contractual service, contingent upon performance, budget availability, and ongoing business needs. The IMF is committed to diversity and inclusion, ensuring that employment decisions are made without discrimination. The organization welcomes requests for reasonable accommodations for disabilities during the selection process.
Info
Job Posting Disclaimer
This job posting is provided for informational purposes only. The accuracy of the job description, qualifications, and other details mentioned is the sole responsibility of the employer or the organization listing the job. We do not guarantee the validity or legitimacy of this job posting. Candidates are advised to conduct their own due diligence and verify the details directly with the employer before applying.
We are not liable for any decisions or actions taken by applicants in response to this job listing. By applying, you agree that all application processes, interviews, and potential job offers are managed exclusively by the listed employer or organization.
Beware of fraudulent job offers. Do not provide sensitive personal information or make any payments to secure a job.