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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Associate Senior Information Management Officer - Data, Information & AI Governance - **Company:** World Bank - **Location:** Leavenworth, WA, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Microsoft Access, Agile Methodology, Artificial Intelligence, Capability Maturity Model Integration, Information Systems, Data Governance, Data Integration, Information Management, Information Sciences, Metadata, Data Management, Data Pipelines, Automation Anywhere - **Published:** November 9, 2026 - **Apply:** https://www.dice.com/job-detail/78fcac19-c1c0-464d-af98-4ca1fc8dfe2d ## About the Role Master's degree in a relevant field, such as information management, information science, data governance, data management, information systems, risk and compliance, or business administration, with at least eight years of relevant professional experience; or a bachelor's degree in a relevant field with at least ten years of relevant professional experience. Demonstrated expertise in developing policies, standards, procedures and governance frameworks, with exceptional analytical and drafting skills and the ability to translate complex requirements into precise, accessible and actionable language. Proven experience implementing data, information and/or AI governance, translating policy into clear roles and responsibilities, decision rights, processes, controls, guidance and sustainable operating practices. Strong knowledge of data, information and AI governance, with demonstrated ability to integrate governance requirements across ownership, stewardship, metadata, provenance, quality, classification, access, retention, preservation and disposition into coherent enterprise frameworks, controls and practices. Demonstrated success working with senior governance bodies and diverse stakeholders, building consensus, facilitating complex or sensitive discussions, and influencing decisions and outcomes without formal authority. Strong analytical and organizational capabilities, including experience assessing governance gaps and risks, developing data and information management plans, resolving governance issues, coordinating remediation and monitoring implementation and effectiveness. Strong understanding of data, information and knowledge platforms, products and services, spanning structured data and unstructured content, records, archives, and AI-enabled solutions with the ability to align enterprise standardization with legitimate business-specific requirements. Experience designing and implementing governance enablement and adoption approaches, including stakeholder engagement, training and awareness, performance measurement and evaluation of adoption and governance effectiveness. Strong understanding of risk and compliance considerations, including privacy, copyright, records management and access to information, as well as AI ethics and responsible AI practices. Exceptional written and verbal communication skills in English, with the judgment and executive presence to communicate complex governance issues clearly and effectively to senior, business and technical audiences. Experience leading, coaching and developing teams, including setting clear priorities and expectations, providing constructive feedback, supporting professional growth, and fostering an inclusive, collaborative and high-performing environment. Knowledge of recognized data, information, security, privacy and AI governance standards, frameworks and regulatory requirements, such as DAMA-DMBOK, DCAM, CMMI Data, ISO/IEC 38505, ISO 8000, ISO 15489, ISO 30301, ISO/IEC 27001, ISO/IEC 27701, ISO/IEC 42001, ISO/IEC 23894, the NIST AI Risk Management Framework, MindForge, and the EU AI Act. Experience managing vendors and external service providers, including defining requirements, overseeing deliverables and monitoring performance, is highly desirable. Relevant professional certification, such as CDMP, DCAM, CIP, CRM, AIGP, AIIM, PECB ISO/IEC 42001 or an equivalent credential, is highly desirable. SAFe Agilist certification or equivalent experience working in Agile environments is desirable. As the World Bank Group continues to evolve, we value candidates who: * Demonstrate the ability to collaborate effectively across teams, disciplines, cultures, and institutional boundaries. * Responsibly leverage digital and AI-enabled tools to enhance productivity, learning, and decision-making. * Bring experience working in fragile, conflict-affected, and violent (FCV) contexts and are encouraged to highlight relevant experience in their application materials, where applicable. ## Description 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.