Overview
Support the operationalization of UN 2.0 initiatives within the UN Country Team by contributing to data, digital, and innovation related activities.
Key Responsibilities
- Support the operationalization of UN 2.0 by contributing to data, digital, and innovation related initiatives.
- Support the use of digital technologies, AI, and innovative solutions to strengthen data use and evidence-based decision making.
- Contribute to the integration of data and digital tools into UNCT work processes.
- Support the improvement of data quality, consistency, and usability.
- Provide support for survey design, assessment preparation, data collection planning, and monitoring activities.
- Contribute to the design, development, and continuous improvement of UNCT support materials.
- Prepare, review, and update presentations and related materials using digital and AI supported design approaches.
- Apply working knowledge of graphic design tools, including AI enabled applications.
- Support the development and implementation of a workplan for the operationalization of UN 2.0.
- Perform any other related duties, as required.
Required Experience
1 month Donor priorities . Relevant experience 3 months Demonstrated interest or experience (ideally one year): Very strong understanding of AI, IT and graphic design software; Good interpersonal skills; Ability to work independently; Strong oral and written communication skills Analytical skills: Data analysis and management; Precision and attention to detail; Ability to solve problems creatively
Qualifications
- Master's degree in - Data Science, Statistics
- - Information Systems / Information Management
- - Digital Transformation
- - Computer Science
- - Innovation Management
- - Development Studies with a strong data/digital focus
- - Public Policy or Economics with demonstrated quantitative and digital components
- Desirable Certification:
- - Data analysis and visualization (e.g., Power BI, Tableau)
- - Digital transformation in the UN context (UNSSC / UN 2.0 learning paths)
- - AI literacy and ethical AI use
- - Monitoring & Evaluation (M&E) or Results-Based Management (RBM)