Global Cloud & Data Center Strategy Advisor

The World Bank Group

Washington (District of Columbia)

Presencial

USD 170.000 - 210.000

Tempo integral

Há 2 dias

Seja uma das primeiras pessoas a se candidatar

Receba uma resposta desta empresa empregadora

Seu currículo e carta de apresentação personalizados exatamente para o que estão contratando.

Passe pelos filtros ATS

Resumo da vaga

The World Bank Group is seeking an E T Consultant- (Cloud & Data Centers) to lead strategic and technical advisory on modernizing public-sector digital infrastructure, including cloud adoption, data hosting, and AI infrastructure, with a focus on resilience and cost effectiveness. This 1-year local contract is based in Washington, DC, and requires deep experience in cloud and data center ecosystems.

Role includes guiding legacy modernization, developing roadmaps, and advising on investments with

Qualificações

Master's degree in Engineering, Information Systems, Computer Science, Business Administration, or a related field, with at least Eight years of relevant experience.
Minimum 10 years of experience in cloud adoption, enterprise IT modernization, or related fields.
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, Portuguese, and/or Spanish strongly preferred

Responsabilidades

Provide strategic and technical advisory to governments on the modernization of public-sector digital infrastructure, including cloud adoption, data hosting, data centers, and emerging AI infrastructure, with a focus on improving resilience, security, and long-term sustainability.
Guide governments in transitioning from fragmented and legacy technology environments toward modern, interoperable, scalable and resilient digital infrastructure, including cloud migration, application modernization, enterprise architecture, and government-wide infrastructure rationalization.
Lead and develop cloud readiness diagnostics, migration roadmaps, and infrastructure reference architectures (public, hybrid, sovereign models)
Advise on cyber resilience, disaster recovery, business continuity, high availability, and geographic redundancy, embedding resilience considerations into broader government cloud and data infrastructure strategies.
Support the modernization of legacy systems through structured cloud migration approaches (e.g., 7R framework, well-architected principles).
Support the identification, structuring and assessment of public and private investment opportunities in cloud, data centers and AI infrastructure, including engagement with hyperscalers, colocation providers, data center operators, investors, and AI infrastructure providers
Lead assessments of national and public-sector AI compute requirements, including training, fine-tuning and inference workloads, utilization patterns, latency and data sensitivity requirements, and implications for capacity planning, demand, resilience and total cost of ownership.
Advise governments on build, buy and share strategies for AI compute, helping determine when countries should invest in domestic GPU infrastructure and AI data centers, leverage regional or shared infrastructure, or procure scalable compute through cloud and GPU-as-a-Service (GPUaaS) models.
Advise on the development of sustainable AI compute markets, including demand aggregation, shared-access models, GPU-as-a-Service, public-private partnerships and other approaches that can expand access to advanced compute while reducing the risks of underutilization, technological obsolescence and large upfront capital investments.
Advise on AI deployment architectures across cloud, centralized, distributed and edge/Small AI environments, aligning infrastructure choices with use cases, cost, latency, connectivity, resilience, sovereignty and operating capacity.
Provide strategic guidance on AI infrastructure sovereignty and resilience, helping governments identify which capabilities require domestic control, which can be sourced through global or regional providers, and where mechanisms such as sovereign cloud, distributed infrastructure and digital embassies can strengthen resilience without unnecessarily constraining access to innovation.