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Data Management Officer/Senior Data Management Officer (STADS)
The Statistics Department has an opening in its Data Governance and Services division for a Data Management Officer/Sr. Data Management Officer.
The Data Management Officer plays a key role in implementing data management practices, standards, and tools that support the departmentโs data architecture and governance framework. Working under the guidance of Divisional management, the Data Management Officer contributes to the development, integration, and maintenance of economic data and metadata to ensure consistency, interoperability, and quality across departmental datasets.
The role supports the application of the Statistical Data and Metadata Exchange (SDMX) standard and contributes to enhancing the Fundโs metadata and reference data frameworks. The Data Management Officer assists in implementing data workflows, performing data validation and transformation activities, and ensuring adherence to the Fundโs data governance and metadata standards.
This position involves close collaboration with economists, IT specialists, and external partners to improve data accessibility, support modernization of data dissemination systems, and ensure alignment with evolving data management technologies. The Data Management Officer contributes to process documentation, technical training materials, and continuous improvement of data practices across the department.
This role requires strong analytical and technical skills, a good understanding of statistical data management concepts, and the ability to communicate technical ideas clearly. The Data Management Officer works as part of a multidisciplinary team to implement solutions that advance the Fundโs data management and governance objectives.
Specific duties and responsibilities include but are not limited to:
Contribute to the maintenance and validation of metadata and reference data structures, ensuring consistency and alignment with the SDMX information model and the Fundโs metadata standards.
Support the implementation of data governance policies, procedures, and standards under the Fundโs Data Governance Framework, ensuring compliance with best practices and data quality principles.
Assist in the design, development, and testing of SDMX-based data structures and processes to facilitate standardized data exchange and interoperability across Fund datasets and with external partners.
Participate in the development and implementation of quality assurance processes for data and metadata published in the IMF Data Catalog and other dissemination platforms.
Collaborate with ITD and internal data owners to translate business and data requirements into system specifications, ensuring that data collection, storage, and dissemination systems meet user needs.
Support the documentation of data models, processes, and business rules to ensure transparency and knowledge sharing across teams.
Contribute to internal training and knowledge-sharing activities on SDMX, metadata management, and data governance practices, helping strengthen technical capacity within the department.
Provide technical assistance to member countries, under supervision, in the design and modernization of data and metadata management practices using international standards.
Perform other duties as assigned by the Division Management or Senior Data Architect, in support of evolving project and organizational needs.
Qualifications
In addition to the minimum qualifications described in the job standards, the candidate should also possess:
Experience contributing to the design and implementation of SDMX artifacts, including code lists and data structure definitions, under the guidance of senior data specialists.
Solid understanding of statistical data management principles, concepts, and methodologies, and ability to apply them in operational and analytical tasks.
Ability to maintain and align metadata structures to improve data consistency, discoverability, and usability across systems and datasets.
Familiarity with current IMF technologies and tools used in data management (e.g., iData Studio), including those supporting metadata management, data pipelines, and automation processes.
Basic knowledge of models and frameworks such as the Generic Statistical Business Process Model (GSBPM), and interest in applying them to support best practices in statistical data management.
Working knowledge of at least one programming language commonly used for data analytics (e.g., Python, R, Java) to assist with data validation, transformation, and reporting.
Demonstrated analytical and problem-solving skills with attention to detail and accuracy in data and metadata management tasks.
Strong organizational and prioritization abilities, with flexibility to adapt to shifting project needs and deadlines.
Excellent interpersonal and teamwork skills, with the ability to collaborate effectively with economists, IT specialists, and external partners in a multicultural environment.
Clear and effective written and oral communication skills, with the ability to convey technical concepts to both technical and non-technical audiences.
Commitment to continuous learning, knowledge sharing, and contributing to a collaborative and innovation-driven team culture.
One or more qualified candidates from within the department are expected to apply, but applications from other qualified candidates are encouraged.
This vacancy shall be filled by a 3-year Term appointment in accordance with the Fundโs new employment rules that took effect on May 1, 2015.
A regular staff member who is selected to fill the vacancy will maintain their open-ended status. If the selected candidate is a contractual employee, they will be offered a Term staff appointment. Staff members already on a term appointment will continue their current term but may receive an extension provided that their current term appointment has not already been extended.
Department:STADS Statistics Department Data Governance and Services
Hiring For: A09, A10, A11
The IMF is guided by the principle that the employment, classification, promotion, and assignment of staff shall be made without discrimination against any person. We welcome requests for reasonable accommodations for disabilities during the selection process. Information on how to request accommodations will be provided during the application process.