Overview
The National Data Officer will bolster the Global Office Washington’s strategic engagement by better harnessing IOM’s data capabilities across country, regional, and global levels.
Key Responsibilities
- Draft regular analytical products on key operational contexts relevant to U.S. Government priorities.
- Produce monthly and ad-hoc information products of analysis and insights.
- Contribute to mapping and monitoring the intersection of IOM data operations and strategic objectives.
- Deliver regular pre-approved data briefings to U.S. Government counterparts.
- Work closely with U.S. government counterparts to refine analytical methodologies.
- Support the development of innovative data visualization tools.
- Support collaboration with Multilateral Development Banks (MDB) on data and analysis.
- Provide technical assistance on joint data tools and research.
- Support collaboration with universities based in the United States.
- Coordinate university capstone projects with IOM and provide technical guidance to students.
Required Experience
- Advanced university degree (Master’s degree or equivalent) with at least two years of relevant experience, or a first-level university degree with at least four years of relevant experience.
- Professional experience in an international context including: using data to advance decisions, strategies and execution; applied analytics, business intelligence, information management, statistics, project management, stakeholder management or related area is required.
- Experience in partnership-building and liaison with donor and government counterparts, academia, private sector entities and UN inter-agency initiatives required.
- Experience in a UN peacekeeping, humanitarian, development experience, ideally within IOM, and with experience or strong exposure to programming in Country Offices.
Qualifications
- Advanced university degree (Master’s degree or equivalent) in Economics, Development Science, Data Science, Information Technology, Computer Science, Operations Research, Applied Statistics, Engineering or related fields.
- A first-level university degree in these specializations.
