Data Management Specialist

Description A key responsibility of the team is to assist World Bank units with data management, curation, production and dissemination. This includes setting standards for, and providing guidance to, World Bank staff on best practices for creating, managing, and disseminating high quality data. DECID seeks a candidate who will work within the team responsible for designing and managing the Bank’s institutional platforms for production, curation and dissemination of development data. This is a business and technical-facing role supporting the development and implementation of the World Bank’s data management strategy. The ideal candidate will have strong technical data science skills, combined with the ability to understand and connect business needs to technical solutions. The following is an overview of key duties: Develop and implement robust both technical and business workflows for data production, management, and dissemination and to improve data management processes and procedures to enhance overall data quality and integrity. Institute and facilitate governance of the organization’s development data metadata and data production workflows and frameworks. Design and implement automated and bulk upload metadata import/export, data transformation, validation and dissemination pipelines using Python or R. Actively collaborate with business data stewards and task teams to implement various data projects and initiatives. Assess, recommend, and implement capabilities related to business and technical metadata, data lineage, data management and data quality improvement efforts. Serve as a liaison between Business and Information Technology departments to ensure that data related business requirements for governing data are clearly defined, communicated, well understood and considered as part of solution planning and implementation. Provide guidance and support to other team members on metadata and data management techniques and methodologies. Stay updated with and transfer knowledge and practice around the latest data management methods and best practices in data governance. Selection Criteria Minimum of a master’s degree in computer or data science, statistics, mathematics, or a related field. 5 years of relevant work experience Strong knowledge and hands-on experience of data governance and data management concepts, approaches, and tools and the role of data governance in the successful implementation of data strategy. Proficiency in Python and/or R and data manipulation tools and libraries (eg. Pandas, numpy). Experience working with international metadata and data exchange standards like SDMX, ISO19139/19115, DDI. Hands-on experience in ETL, management and visualization of diverse data sources and large datasets. Demonstrated experience in working with stakeholders to understand their data requirements and communicating these to inform technical solutions. Ability to effectively challenge all levels of an organization and offer value-add solutions to meet data governance objectives. Strong experience in stakeholder engagement and people and relationships management is desired. Advanced analytical, problem-solving, negotiation, and organizational skills with demonstrated ability to multi-task, organize, prioritize, and meet deadlines. Collaborative team player who is detailed oriented and focused on solution quality and execution. Ability to work independently with some level of ambiguity and juggle multiple demands. #J-18808-Ljbffr