Data-Driven Solutions Expert
3 weeks ago
Data-Driven Solutions Expert
At the World Bank, we seek a highly skilled Data-Driven Solutions Expert to join our team. This role will focus on designing and managing next-gen data products/solutions that support our data management, data integration, data use, and data science functions.
Key Responsibilities:
- Interface with business analysts, project managers, and clients to understand product requirements and develop technical specifications for implementation.
- Design and develop enterprise-grade data-driven products/solutions leveraging Cloud platforms, Data platforms, API standards, modern front-end frameworks, and data visualization libraries.
- Ensure that the technical solutions supporting our operations initiatives are successfully delivered leveraging technology and architecture best practices.
- Provide technical guidance, create relevant solution artifacts, and review project deliverables to ensure alignment with WBG standards and guidelines.
- Interact with the Enterprise Architecture and Office of Information Security teams to ensure that solutions are built in adherence with the defined enterprise architecture and enterprise security standards.
Selection Criteria:
- Master’s degree with 5 years of relevant experience, or equivalent combination of education and experience.
- Strong experience as a technical lead, responsible for designing, developing, and managing data-driven products and solutions to support data management, dissemination, visualization, and analytical capabilities.
- Minimum 2 years of experience in integrating product capabilities with cloud-based platforms/services, such as Databricks, Azure Data Factory, Azure Data Lake Gen 2, Azure SQL/Azure Cosmos DB, Azure AI search, Azure OpenAI, Azure API management, and Azure AD.
- Minimum 2 years of experience in design and development of web applications leveraging modern front-end frameworks/libraries, such as Angular/React, Highcharts, and Bootstrap.
- Strong ability to enhance data product capabilities by embedding artificial intelligence, machine learning, and other emerging technologies.
- Excellent verbal and written communication skills and ability to communicate well with all stakeholders at all levels, technical as well as non-technical.
- Excellent organizational skills, able to prioritize tasks and complete them with minimal supervision and follow-ups.
- Strong knowledge of technical processes and life cycle methodologies, including Agile, DevOps, project management, software development, and execution.
- Good team player with strong interpersonal skills, including the ability to work as a member of a multi-disciplinary and multi-cultural team, and network effectively across geographies and time zones.
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