E T Consultant - Cloud & Data Centers

E T Consultant - Cloud & Data Centers

Job #: req
38167

Organization:
World Bank Group

Sector:
Digital Development

Grade: EC2

Term Duration: 1 year 0 months

Recruitment Type:
Local Recruitment

Location:

Washington, DC, United States

Required Language(s):
English

Preferred Language(s):
French, Portuguese, and/or Spanish

Closing Date: 9/9/2026 (MM/DD/YYYY) at 11:59pm UTC

Do you want to build a career that is truly worthwhile? The World Bank Group is a unique global partnership of five institutions driven by a bold vision to create a world free of poverty on a livable planet. As one of the largest sources of funding and knowledge for developing countries, we help solve the world's greatest development challenges. When you join the World Bank Group, you become part of a dynamic, diverse organization with 189 member countries and more than 120 offices worldwide.

We work with public and private sector partners, invest in groundbreaking projects, and use data, research, and technology to bring tangible and transformative change around the globe.

Digital technologies offer a unique opportunity to transform development through digital solutions. The Digital and AI Vertical Vice Presidency and its global and regional teams support client countries in building their capacities for digital transformation and AI use. The WBG Digital and AI Vertical is led by a Vice President and was established in July 2024. WBG recently published its Digital and AI Strategy which includes four pillars: access, affordability, ecosystem and AI readiness.

The strategy identifies the priorities that WBG will engage across the client segment over the next five years. The implementation plan is currently under preparation.

Within the Knowledge Bank, the Digital Access team (WKDAX) leads work on foundational digital infrastructure and affordability, focusing on knowledge generation, solution design, and the scaling of proven approaches across regions and country programs.

Digital Transformation & Cloud Adoption

• Advise governments on strategies to modernize public sector IT systems and adopt cloud and digital infrastructure solutions that improve efficiency, resilience, affordability and service delivery.
• Support countries in developing national approaches to data hosting, cloud adoption, and digital infrastructure that balance costs, security, and sovereignty considerations, leveraging both private and public solutions.
• Help governments transition from legacy systems toward more flexible, scalable, secure and resilient digital infrastructure environments.
• Develop cloud readiness diagnostics, migration roadmaps, and infrastructure reference architectures (public, hybrid, sovereign models).
• Support the modernization of legacy systems through structured cloud migration approaches (e.g., 7R framework, well-architected principles).
• Provide technical guidance on disaster recovery, business continuity, cybersecurity and high-availability architectures.
• 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, including engagement with cloud providers, data center operators, and AI infrastructure players.

AI Digital Infrastructure

• Support governments in preparing their infrastructure for AI-enabled public services.
• Advise on AI deployment architectures, including trade-offs between centralized and edge/Small AI approaches, with a focus on cost efficiency, resilience, and applicability in low-resource environments.
• Advise governments on data readiness and governance frameworks, including data quality, interoperability, and secure data-sharing mechanisms.
• Advise on AI-ready enterprise architectures, including integration of AI systems into government platforms, MLOps pipelines, and data infrastructure layers.

Some international travel will be required.

• Master's degree in engineering, Information Systems, Computer Science, Business Administration, or a related field, with at least five years of relevant experience, or an equivalent combination of education and experience.
• Minimum 5 years of experience in cloud adoption, enterprise IT modernization, or related fields. Additional years of experience are highly valued.
• Familiarity with AI/ML concepts and services, including generative AI, large language models.
• Experience in structuring or advising on technology investments, including commercial viability, cost models, and engagement with private sector providers.
• Strong understanding of digital infrastructure ecosystems, including cloud services, data centers, connectivity, and emerging AI infrastructure needs.
• Strong analytical, communication, and stakeholder engagement skills, with the ability to translate technical concepts into strategic guidance.
• Experience working in emerging markets.
• Fluency in English required (written and spoken);
  French,…