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Mission Planning Officer (Data Management)

MINUSCABangui, Central African Republic
Category | Grade:Professional | P-3Deadline:16 Aug 2026Job ID:282238Posted on:3 Aug 2026
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Overview

Leads mission-wide data management for planning and executive decision-making, strengthening repositories, governance, quality, interoperability, dashboards and analytical processes while training mission teams and protecting sensitive information across MINUSCA components.

Department: Joint Mission Planning Unit

Languages

Required: English

Desired: French

Minimum Experience

5 years

Estimated Salary

Not available

Responsibilities

  • Lead mission-wide data collection, harmonisation and repository management
  • Establish data definitions, metadata, attribution, version control and governance
  • Strengthen database architecture, interoperability and access across mission platforms
  • Develop dashboards and translate data into decision-ready insights for leadership
  • Train mission teams, improve workflows and protect sensitive information

Requirements

  • Advanced university degree in Political Science, Management, Development or a related field, or a first-level degree with two additional years of qualifying experience
  • Professional training in planning, data science, statistics or information management
  • At least five years of progressively responsible experience in programme management, strategic planning, data analysis or information management
  • Experience in data governance, quality assurance, database management and sensitive-information protection
  • Experience applying advanced analytics and artificial intelligence to reporting and decision-making
  • English at UN Level III
  • Applicants cannot be nationals of the Central African Republic for this mission Professional-category post

Skills

Data GovernanceDatabase AdministrationData VisualisationData Quality AssuranceData ProtectionAdvanced Analytics

Tools

Artificial Intelligence

Additional info

  • Temporary assignment subject to applicable funding and internal-selection conditions