The Extended-Term Consultant (ETC) will support the design and implementation of World Bank analytical, advisory, and operational activities related to Digital Public Financial Management (PFM), IFMIS modernization, data, and emerging technologies. The role involves bridging PFM functional requirements and digital/IT solutions, supporting digital transformation priorities, and advising on the application of AI and advanced analytics in PFM.
Responsibilities
- Provide technical and functional advice on the design, modernization, implementation, and evaluation of IFMIS/FMIS and related PFM information systems.
- Assess existing digital PFM architectures, including system functionality, coverage, interoperability, data flows, institutional arrangements, and implementation constraints.
- Support the development of IFMIS modernization strategies and roadmaps, including migration from legacy systems and options for modular, interoperable, and potentially cloud-based architectures.
- Advise on functional requirements covering key PFM processes, including budget preparation, budget execution, commitment controls, treasury and cash management, accounting, financial reporting, payments, procurement, public investment, asset management, and fiscal reporting.
- Support integration and interoperability between IFMIS and related systems, including e-procurement, tax and customs systems, debt management systems, payroll/HRMIS, public investment management systems, central bank/payment systems, and data platforms.
- Assess how IFMIS and other government financial systems can provide the data architecture and interoperability required to support AI-enabled applications, while ensuring data quality, security, auditability, and appropriate controls.
- Analyze PFM institutional arrangements and business processes and identify opportunities for simplification, standardization, automation, and digitalization.
- Ensure that proposed digital solutions are grounded in PFM legislation, institutional responsibilities, controls, accounting frameworks, and government business processes.
- Support business-process mapping and reengineering prior to or alongside digital investments.
- Translate PFM policy and operational requirements into functional and technical requirements for digital systems.
- Identify PFM processes where AI-assisted tools and intelligent automation could generate measurable improvements in efficiency, controls, analytical capacity, or decision-making, while avoiding the digitalization of inefficient or poorly designed processes.
- Advise on digital architecture, interoperability, data standards, master data management, data governance, and system integration relevant to PFM.
- Support initiatives to improve the accessibility, quality, integration, and use of fiscal and financial data.
- Explore appropriate applications of data analytics, artificial intelligence, machine learning, automation, and other emerging technologies in PFM while considering institutional capacity, sustainability, information security, and implementation risks.
- Contribute to approaches for dashboards, fiscal analytics, anomaly detection, forecasting, expenditure monitoring, and decision-support tools where appropriate.
- Advise on cybersecurity, business continuity, disaster recovery, access controls, audit trails, and other IT governance considerations relevant to financial management systems.
- Support the development and testing of practical AI use cases for PFM, potentially including revenue and cash forecasting, expenditure analysis, spending reviews, detection of unusual transactions, procurement analytics, fiscal risk analysis, document analysis, and automated reporting.
- Provide technical inputs to World Bank lending operations, analytical work, technical assistance, diagnostics, and implementation support involving digital PFM and IFMIS.
- Participate in missions and engage directly with Ministries of Finance, Treasuries, Budget Offices, Accountant General Offices, digital government agencies, and other relevant institutions.
- Review technical specifications, functional requirements, procurement documentation, system design documents, implementation plans, and vendor deliverables.
- Help teams assess the feasibility, sequencing, costs, institutional requirements, and implementation risks associated with digital PFM investments.
- Contribute to quality assurance and peer review of World Bank activities involving IFMIS and Digital PFM.
- Develop practical guidance, tools, case studies, and knowledge products and contribute to learning and knowledge-sharing activities across regions.
- Advise World Bank teams and government counterparts on the responsible introduction of AI into PFM operations, including questions of data readiness, governance, human oversight, explainability, cybersecurity, sustainability, and implementation capacity.
Requirements
- Master's/PhD's degree or equivalent in information systems, computer science, information technology, public financial management, public administration, economics, engineering, data science, or another relevant discipline.
- At least 5-8 years of relevant professional experience in digital government, PFM information systems, IFMIS/FMIS, or related fields.
- Demonstrated hands-on experience with the design, implementation, modernization, or assessment of IFMIS/FMIS.
- Strong understanding of core PFM institutions and processes, including budget preparation and execution, treasury and cash management, accounting, financial reporting, internal controls, and preferably procurement.
- Ability to understand both the functional/PFM and technical/IT dimensions of government financial management systems.
- Experience with system architecture, interoperability, databases, APIs, data management, enterprise architecture, or related digital-government concepts.
- Experience working with governments and communicating technical issues to senior officials and non-technical audiences.
- Demonstrated knowledge of AI, machine learning, advanced analytics, or intelligent automation and an ability to assess their practical application to government and PFM processes.
- Strong analytical, problem-solving, communication, and drafting skills.
- Excellent written and spoken English.
- Previous professional experience in a Ministry of Finance, Treasury, Budget Directorate, or equivalent central finance institution is highly desirable.
- Direct responsibility for managing or implementing an IFMIS/FMIS reform or modernization program from the government side is highly desirable.
- Experience translating PFM requirements into functional specifications and working with IT teams and system vendors is highly desirable.
- Experience in developing or emerging economies and familiarity with institutional and capacity constraints affecting digital PFM reforms is highly desirable.
- Experience with World Bank or other international financial institution operations and government digital transformation programs is highly desirable.
- Knowledge of public-sector IT procurement and contract management is highly desirable.
- Hands-on experience developing, piloting, deploying, or evaluating AI or machine-learning applications in government, finance, PFM, procurement, audit, or related public-sector functions is highly desirable.
- Proficiency in Python, R, or SQL for data manipulation and analysis.
- Experience with CUDA for GPU-accelerated data processing and machine learning applications.
- Ability to communicate complex IT concepts to PFM specialists and policy makers, and PFM requirements to technical teams.
- Ability to work effectively in multidisciplinary and multicultural teams.
- Strong client orientation and ability to build trusted relationships with government counterparts.
- Ability to deal effectively and diplomatically with member country authorities.
- Strong interpersonal, communications and writing skills.
Skills
- Digital Government
- Public Financial Management
- IFMIS Design
- IFMIS Implementation
- Budget Preparation
- Treasury Management
- Financial Reporting
- Internal Controls
- Procurement
- Systems Architecture
- Interoperability
- Database Management
- API Integration
- Enterprise Architecture
- AI Applications
- Machine Learning
- Applied Analytics
- Intelligent automation
- Technical Communication
- Functional Specification Development
- IT Procurement
- Contract Management
- Python
- SQL
- CUDA
- Data Analysis
- Government Digital Transformation
Languages
English, Spanish, French