The Knowledge Management Officer will support the development and implementation of institutional standards, workflows, and solutions for knowledge management, metadata, unstructured data, information access, and AI-ready content across the Fund. Contribute to cross-departmental initiatives and governance fora to advance knowledge discovery, digital transformation, and responsible AI adoption. Serve as business analyst, project manager, and subject matter expert for assigned KM systems, platforms, and services, ensuring the effective application of standards, quality assurance, and change management. Collaborate with relevant departments to design, implement, and continuously improve knowledge management tools, workflows, and priority knowledge assets.
Main Duties and Responsibilities:- Develop, maintain, and promote Fund-wide knowledge management standards and practical guidance for unstructured content, metadata, file organization, knowledge assets, and secure information access, ensuring alignment with enterprise vocabularies, records-management requirements, and data governance standards.
- Lead and support AI data-readiness work for priority knowledge assets, including conducting or coordinating readiness assessments, identifying gaps in source coverage, permissions, quality, metadata, format, governance, and access controls, and translating findings into actionable remediation plans for AI-relevant projects.
- Coordinate with ITD, STA, ICD divisions, and authoring departments to embed metadata, data-readiness, and early-stage quality-assurance requirements into system design, workflow automation, document repositories, dashboards, and AI project pipelines.
- Support the information readiness, access, and flow workstream by assessing priority CD products-starting with TA reports-and selected area department outputs; monitoring metadata quality; supporting automated reminders, workflow nudges, and dashboards; and helping departments improve findability, completeness, interoperability, and machine readability.
- Serve as business analyst, project lead, and KM subject-matter expert for assigned KM platforms and services, including knowledge hubs, KE Countries, Enterprise Search, country/role handover tools, communities of practice, committees, and working groups guidance, and information access arrangements.
- Manage or support KM-related access arrangements and security groups for relevant IT, data, and document systems, including periodic access reviews and coordination with ITD to create, retire, or adjust groups and permissions as needed.
- Provide operational guidance, templates, job aids, training, clinics, and advisory support to departments on KM standards, content readiness, metadata practices, knowledge hubs, handovers, and responsible preparation of content for AI-enabled reuse.
- Maintain and enhance existing knowledge assets and channels, including knowledge hubs and communities, and support the creation or redesign of new KM products where there is a clear business need and sustainable ownership model.
- Coordinate communications, stakeholder engagement, and change-management activities for KM initiatives, including support for KMAC, KLT, or successor groups, departmental consultations, governance fora, and awareness campaigns.
- Monitor risks, issues, metrics, and implementation progress for KM initiatives; prepare concise status updates, dashboards, and recommendations for KMU management and relevant governance bodies; and escalate systemic risks related to metadata quality, access, compliance, or AI readiness.
- Act as back-up to the Deputy Unit Chief/Unit Chief, as needed, on selected KM operational matters, coordination with divisions, and representation in relevant Fund-wide groups and fora.
Skills:- Strong understanding of knowledge management, metadata, taxonomy, content lifecycle, records management, and information-access principles.
- Ability to translate institutional standards and governance requirements into practical workflows, templates, and operational guidance.
- Experience working with business and technology teams to define requirements, support implementation, test solutions, and resolve issues.
- Familiarity with AI data-readiness concepts, including content completeness, permissions, quality, metadata, format, governance, and secure access.
- Strong drafting, facilitation, stakeholder engagement, and change-management skills, with the ability to communicate clearly with technical and non-technical audiences.
- Sound judgment, attention to detail, and ability to identify risks and propose pragmatic remediation steps.
- Displays ownership for a service, process, application, or program.
Minimum Qualifications:Educational development, typically acquired by the completion of an advanced university degree, or equivalent, in library or information science, or a related field; or a university degree, or equivalent, supplemented by a minimum of six (6) years of relevant professional experience; or a minimum of two (2) years of relevant experience at Grade A08, or equivalent, is required.
Department:ICDAI KM Institute for Capacity Development Immediate Office Knowledge Management Unit
Hiring For: A09, A10
