Overview
Consultant to advise governments on digital transformation and cloud adoption strategies, focusing on modernizing public sector IT systems and preparing infrastructure for emerging technologies like AI.
Key Responsibilities
- Advise governments on strategies to modernize public sector IT systems and adopt cloud and digital infrastructure solutions.
- Support countries in developing national approaches to data hosting, cloud adoption, and digital infrastructure.
- Help governments transition from legacy systems toward more flexible, scalable, secure and resilient digital infrastructure environments.
- Support governments in preparing their infrastructure for emerging technologies such as artificial intelligence and data-intensive applications.
- Advise on infrastructure needs related to computing capacity, data storage, connectivity, and resilience required for AI-enabled public services.
- Advise on AI deployment architectures, including trade-offs between centralized and edge/Small AI approaches.
- Assess and advise on AI workload requirements, including training vs inference needs, utilization patterns, and implications for infrastructure sizing, energy demand, and cost optimization.
- Advise governments on data readiness and governance frameworks, including data quality, interoperability, and secure data-sharing mechanisms.
- Support the development of localized datasets, language models, and sector-specific data ecosystems to enable effective AI deployment.
- Provide technical and strategic advice leveraging both private and public sector perspectives.
- Support the preparation and supervision of digital infrastructure investments and advisory programs.
- Develop analytical work, policy notes, and knowledge products on cloud, data hosting and AI-readiness.
- Support identification and structuring of private sector investment opportunities in digital and AI infrastructure.
- Contribute to de-risking frameworks that enable private capital mobilization.
- Advise project teams on enterprise architecture frameworks and end-to-end digital infrastructure design.
- Advise on AI-ready enterprise architectures, including integration of AI systems into government platforms, MLOps pipelines, and data infrastructure layers.
- Support the modernization of legacy systems through structured cloud migration approaches.
- Develop cloud readiness diagnostics, migration roadmaps, and infrastructure reference architectures.
- Provide technical guidance on disaster recovery, business continuity, cybersecurity and high-availability architectures.
- Facilitate knowledge exchange across regions on best practices in cloud adoption, digital infrastructure policy, and government modernization.
- Engage with public and private sector stakeholders to support the development of sustainable and competitive digital infrastructure ecosystems.
- Build partnerships with leading AI, cloud, and infrastructure providers, as well as research institutions.
Required Experience
- A minimum of 5 years of experience in cloud adoption, enterprise IT modernization, or related fields.
- Demonstrated experience with AI infrastructure, including compute (GPU/TPU), data pipelines, and deployment of AI systems in production environments.
- Strong understanding of AI system design trade-offs (cost, latency, energy, scalability), including edge vs centralized architectures.
- Experience in structuring or advising on technology investments, including commercial viability, cost models, and engagement with private sector providers.
- Experience advising both private sector and governments on digital transformation strategies.
- Strong understanding of digital infrastructure ecosystems, including cloud services, data centers, connectivity, and emerging AI infrastructure needs.
- Experience supporting complex projects, investments, or advisory programs related to technology or digital infrastructure.
- Experience working in emerging markets.
Qualifications
• Master’s degree or equivalent in Engineering, Information Systems, Computer Science, or related field.
