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  • Posted: Mar 29, 2023
    Deadline: Apr 11, 2023
  • Never pay for any CBT, test or assessment as part of any recruitment process. When in doubt, contact us

    Established in 1951, IOM is the leading inter-governmental organization in the field of migration and works closely with governmental, intergovernmental and non-governmental partners. With 165 member states, a further 8 states holding observer status and offices in over 100 countries, IOM is dedicated to promoting humane and orderly migration for the bene...
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    Regional DTM Information Management Officer (P3)

    Under the overall supervision of the Regional Director for East and Horn of Africa, and the direct supervision of the Regional Data Hub Coordinator, in close coordination with respective units in headquarters (HQs) and the Regional DTM Information Management Officer will coordinate displacement tracking and flow monitoring initiatives within the region, ensuring compliance with Page 1 / 5 global standards, quality of country-level outputs and adherence to global/regional/country data-sharing procedures. They will also be responsible for leading the Information Management initiatives aiming to streamline data management and analyse mixed migration movements, trends, and its characteristics across the region. In particular, they will ensure regional consolidation of information and activities conducted at country level under various Displacement Tracking Matrix (DTM) programmes and related information management initiatives, and expand such activities where required, to increase understanding of forced migration movements and migration corridors

    Core Functions / Responsibilities:

    • Support the design, setup and roll out of new DTM initiatives and capacity building activities in accordance with global standards and methodologies, in close coordination with the global DTM support team and Global Data Institute (GDI).
    • Support missions in the adaptation of IOM DTM methodologies, standardized tools, implementation approaches and Information Management mechanisms to fit requirements at country level, while ensuring compatibility and efficient workflows with DTM global data standards and central data warehouse.
    • Support implementation of control mechanisms for compliance and quality standards of implementation, output, and deliverables at regional and country levels, in coordination with the global DTM support team.
    • Manage the technical aspects of Regional Data Hub (RDH) Information Management (IM) initiatives and ensure synergy of various related tools and systems development at the regional, country, and Headquarters (HQs) level.
    • Lead the data management processes of the regional data warehouse and ensure that the various data sources are up-to-date and available to inform analysis and sharing.
    • Coordinate the development methodologies and of the tools for various mixed migration data including the regional and country level to support the data collection and management as needed by regional mixed migration and mobility programming.
    • Manage RDH technical staff in assigning tasks and making sure their performances are optimized, including as part of the Migration Response Center Information System (MRCIS) and MiMOSA. Monitor and advice, on the production of information products in relation to regional and country-level mobility data sources, including, but not limited to, analytical and statistical reports, displacement and migration profiles, maps and other relevant products, to ensure their highest possible quality.
    • Research, analyse and evaluate new applications related to information systems, to new technologies and processes to manage information in response to RDH needs.
    • Develop and support, in coordination with country missions, operational partnerships with central and local authorities, service providers, agencies, and NGO partners to ensure effective implementation of DTM activities at national and district levels.
    • Participate in relevant meetings and undertake duty travel relating to DTM operations assessment, liaison with counterparts, problem solving, and set up of new project/ programmes, as required; provide regular information update to relevant units and the global DTM support team.
    • Ensure the integration of gender perspective and attention to specific needs of vulnerable populations such as pregnant women, persons with disabilities, the elderly, children as well as other highly vulnerable groups within all emergency and transition activities.
    • Perform such other duties as may be assigned.

    Required Qualifications and Experience:


    • Master’s degree in Master’s degree in Computer Information Systems, Geography, Statistics, Demography, Social Studies, Economics or a related field from an accredited academic institution with five years of relevant professional experience; or
    • University degree in the above fields with seven years of relevant professional experience.


    • Experience in information management, emergency humanitarian operations management and coordination of information flows, data management including collection, storing, processing, and analysing data to generate information products;
    • In-depth knowledge of the latest technological developments in information technology and information systems;
    • Demonstrated experience in leadership in the context of partnership building and consensual decision-making;
    • Experience in advanced data visualization and information design skills.
    • Experience with handling confidential data;


    • Proven skills to analyse statistical information;
    • Ability to formulate IM-related technical requirements and operating procedures;
    • Ability to translate planning-specifications into technical briefs for data capture and analysis, and vice versa;
    • Ability to compile and holistically analyse diverse datasets;
    • Demonstrated team-building and information management skills;
    • Demonstrated understanding of different data collection methodologies;
    • Knowledge and understanding of relational data theory

    Method of Application

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