Data Officer

The Data Officer will lead the design and delivery of data products, analytical models, dashboards, mobile applications, and AI-enabled solutions to support World Bank Group priorities and improve decision-making. The role involves advising stakeholders, developing predictive models, and strengthening data governance and reporting quality across budget systems.

Responsibilities

• Lead the design and delivery of data products, analytical models, dashboards, mobile applications, and AI-enabled solutions that support WBP priorities and improve decision-making.
• Advise business stakeholders on data-driven opportunities, translate business needs into analytical solutions, and shape practical approaches that connect technical capability with business strategy.
• Own the development, deployment, validation, and continuous improvement of predictive models, machine learning pipelines, reporting solutions, and data products in partnership with IT and business teams.
• Define and standardize WBP data components, measures, methodologies, and reporting approaches across systems including A/O, S/4, cloud platforms, and related budget data environments.
• Establish and maintain a consolidated data layer or data mesh for WBP analytics, strengthening data quality, governance, controls, and consistency across reporting platforms.
• Provide technical guidance to analysts or junior colleagues, review outputs for quality and usability, and support the adoption of self-service analytics and data storytelling practices.

Requirements

• Master’s degree in information systems, data science, computer science, statistics, applied mathematics, finance, business analytics, or a related field.
• At least 5 years of relevant experience.
• Advanced proficiency in SQL and programming languages such as Python or R, with demonstrated ability to design scalable analytical solutions, models, and data pipelines.
• Advanced knowledge of statistical analysis, predictive modeling, machine learning techniques, model validation, and performance monitoring.
• Proven experience leading the design of dashboards, reporting solutions, mobile applications, or AI-enabled data products with a strong user-centered and business-impact focus.
• Demonstrated ability to define data standards, strengthen data governance, improve reporting quality, and standardize measures across complex systems and platforms.
• Strong stakeholder engagement, storytelling, advisory, and problem-solving skills, with the ability to bridge technical data analysis and business strategy.
• Experience in financial planning, reporting, budget analytics, performance management, or large/complex organizations is highly desirable.

Skills

• SQL
• Python Programming
• R Programming
• Statistical Analysis
• Predictive Analysis
• Machine Learning Techniques
• Model Validation
• Performance Monitoring
• Dashboard Design
• Reporting Solutions
• Mobile Application Development
• AI-enabled Data Products
• Data Standards Definition
• Data Governance
• Reporting Quality Improvement
• Financial Planning
• Budget Analytics
• Performance Management
• Stakeholder Engagement
• Business Advisory

Languages

English