AI Governance Analyst (IT Program Analyst)

The AI Governance Analyst will operationalize AI governance processes to enable responsible and trusted AI adoption within the World Bank Group. The role involves managing AI governance workflows, conducting intake analysis, monitoring AI initiatives, and developing enablement materials to support responsible AI use.

Responsibilities

• Operationalize practical AI governance processes that enable responsible, trusted, and impact-focused AI adoption.
• Translate AI governance expectations into clear workflows, tools, guidance, and decision materials.
• Conduct intake analysis, triage, and lifecycle tracking for AI use cases and AI-enabled solutions.
• Maintain visibility on AI initiatives, risks, safeguards, decisions, and follow-up actions.
• Contribute to monitoring, reporting, and audit readiness of AI governance.
• Develop practical enablement materials that help staff understand and apply responsible AI expectations.
• Monitor AI trends, emerging risks, regulatory developments, and peer practices to generate insights for governance, strategy, and value realization.
• Review AI intake requests and support assessment of scope, risk indicators, required information, and governance pathway.
• Manage AI governance records, including inventory entries, risk classifications, safeguards, decisions, and open actions.
• Coordinate with business, technology, legal, risk, security, data, and other expert teams to progress governance reviews and related deliverables.
• Support monitoring of higher-risk AI solutions, including outputs, issues, control evidence, remediation actions, and status updates.
• Contribute to the development of staff enablement materials on responsible AI use, including guidance notes, FAQs, checklists, examples, playbooks, and training content.
• Track AI trends, regulatory developments, emerging opportunities and risk themes, as well as peer practices; synthesize implications for the institution’s approach to AI strategy, governance, and value realization.
• Prepare concise briefs, trackers, dashboards, talking points, and decision materials for governance discussions.

Requirements

• Bachelor’s or Master’s degree with 2 years of experience or equivalent combination of education and experience (for example, in the IT field: Bachelor’s Degree with a minimum of 1 year of related work experience).
• Experience in AI, data, digital transformation, risk, compliance, policy, governance, management consulting, or a related field.
• Familiarity with AI, data, analytics, machine learning, generative AI, responsible AI, or technology governance concepts.
• Strong analytical skills, with the ability to structure ambiguous problems and develop practical options.
• Strong writing and synthesis skills, including concise briefs, summaries, meeting notes, and presentation materials.
• Proven ability to coordinate work across teams, manage follow-ups, maintain organized records, and drive tasks to closure.
• Interest in responsible innovation and the ability to balance risk awareness with practical business enablement.
• Recommended certifications or training in data or AI governance, or project management would be an advantage.
• SAFe Agilist certification is recommended.

Skills

• AI Governance
• Data Governance
• Digital Transformation
• Risk Management
• Compliance Management
• Policy Development
• Management Consulting
• AI
• Data Analytics
• Machine Learning
• Generative AI
• Responsible AI Principles
• Technology Governance
• Analytical Skills
• Technical Writing
• Project Coordination
• Workflow Management Skills
• Intake Analysis
• SAFe Agilist
• Project Management

Languages

English