Associate Information Management Officer - Data, Information & AI Governance

At the World Bank Group (WBG), you’ll join a diverse, global community working across cultures, disciplines, and borders to address the world’s most pressing development challenges. With 1.2 billion young people reaching working age in the decade ahead, the challenge of job creation has never been greater. Through partnerships across 145 countries and more than 182 offices worldwide, we work with governments, private sector, development partners and other stakeholders to invest in people, strengthen markets, and deliver scalable, data-driven solutions that generate more and better jobs and improve lives. For more information, visit www.worldbank.org VPU Context: The Information and Technology Solutions (ITS) Vice Presidential Unit (VPU) enables the World Bank Group to achieve its mission of ending extreme poverty and boost shared prosperity on a livable planet by delivering transformative information and technologies to its staff working in over 150+ locations. For more information on ITS, see this video: https://www.youtube.com/watch?reload=9 v=VTFGffa1Y7w Unit Context: The ITSIG (Information Governance) Unit is the strategic driver of trust, agility, and responsible innovation in the organization’s data, information, and AI landscape. The unit develops and oversees governance frameworks, policies, and stewardship models that enable the Group, and the public, to maximize the value of its data and information. By embedding governance into product and service delivery, platform design, and business engagement, the unit positions governance as a catalyst for AI transformation and business impact. The unit also fosters partnerships and thought leadership, ensuring the Group remains at the forefront of global best practices in data, information, and AI governance. Duties and accountabilities: • Contribute to enterprise data, information and AI governance policies, procedures, standards and guidance, translating business, technology and governance needs into clear, actionable requirements. • Support policy implementation by developing controls, roles and responsibilities, decision rights, workflows, guidance, adoption measures and monitoring approaches for defined workstreams. • Support data and AI governance bodies and working groups by preparing decision-ready materials, facilitating stakeholder alignment, documenting decisions, and coordinating follow up on agreed actions. • Build trusted relationships across business and technology teams to resolve governance issues and foster consensus on complex or sensitive requirements. • Support data and information lifecycle management including capture, organization, access, metadata, quality, classification, retention, preservation and disposition. • Develop practical data information management requirements and plans for ownership, stewardship, inventories, business glossaries, taxonomies, controlled vocabularies and related governance controls. • Coordinate assurance, remediation and continuous improvement by assessing gaps, maintaining audit evidence, monitoring adoption, recommending improvements, and escalating material governance risks or control gaps.