Associate Senior 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 (Data, Information and AI 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: Role Purpose The Associate Senior Information Management Officer will lead the design and implementation of the WBG data, information and AI governance framework integrating data, information and AI governance into a coherent enterprise approach. The framework will strengthen quality, accountability, regulatory compliance, audit readiness and responsible AI use. As a subject-matter expert, the incumbent will lead complex, multidisciplinary initiatives and translate strategy into sustainable governance practices, controls and measurable results. • Shape enterprise data, information and AI governance policies, standards and guidance, translating business, technology, risk and governance needs into clear, actionable requirements. • Ensure alignment with legal, regulatory, and organizational requirements while enabling responsible innovation and agility. • Drive policy implementation and adoption by developing controls, roles and responsibilities, decision rights, workflows, guidance, and monitoring approaches for defined workstreams, and other implementation measures. • Enable effective data, information and AI governance bodies and working groups by preparing decision-ready materials, facilitating stakeholder alignment, documenting decisions and driving follow through on agreed actions. • Build trusted relationships across business and technology teams to resolve governance issues and build consensus on complex or sensitive requirements. • Embed governance into platforms and delivery processes by collaborating with technology and delivery teams to integrate governance requirements into data pipelines, information systems, and AI workflows. • Intergrade data, information and AI governance requirements across lifecycle management, metadata, quality, classification, access, retention, preservation, disposition and responsible AI-. • Develop practical data and information management requirements and plans for ownership, stewardship, inventories, business glossaries, taxonomies, controlled vocabularies and related governance controls. • Develop practical governance tools including toolkits, templates, and guidance to empower business users to work within governance guardrails and apply requirements consistently. • Coordinate assurance, remediation and continuous improvement by assessing governance and control gaps, maintaining audit evidence, monitoring adoption, recommending improvements, and escalating material risks or gaps. • Build external partnerships with peer organizations, standards bodies, and thought leaders to identify emerging trends and inform the evolution of WBG governance.