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Senior Project Officer (Standards and Data Integration)

Canada, Montreal 117598.00 USD / Year · Job Posted May 29, 2026
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Job Description

The position is with UNESCO Institute for Statistics (UIS) in Montreal. The incumbent, as Head of the Standards and Data Integration Unit, will lead and coordinate the development and implementation of international statistical standards and data integration frameworks, including the use of modern data architectures, statistical software, and AI-driven approaches to improve data quality, timeliness, and usability.

Job Responsibility

  • Lead the planning, coordination, and execution of the unit's work plan, ensuring alignment with Education's Section strategic priorities
  • Contribute to the development of statistical processes ensuring efficiency and quality with a system of Key Performance Indicators (KPIs) and clear-cut defined workflows for the production and update of the indicators under the Education Section's responsibility
  • Take responsibility for the development, revision, and implementation of international statistical standards, classifications, and methodologies
  • Contribute to the development and application of frameworks such as the International Standard Classification of Education (ISCED)
  • Contribute to documents that support the work of governance mechanisms including the Education Data and Statistics Commission (EDSC) on the Indicators for SDG 4-Education 2030 (EDSC) and the Inter-agency and Expert Group on SDG Indicators (IAEG-SDGs) as needed
  • Design and implement frameworks for integrating multi-source data (administrative, survey, assessment, and alternative data sources)
  • Promote and operationalize interoperability standards (e.g. SDMX, APIs, data exchange protocols)
  • Lead initiatives to harmonize datasets across domains and countries
  • Support the development of scalable data architectures (i.e data lakes, warehouses, cloud-based systems)
  • Contribute to the production of education indicators from household surveys and censuses, ensuring methodological rigor and comparability
  • Oversee the integration of survey-based and administrative data to strengthen coverage of participation, completion, and learning indicators
  • Contribute to the analysis of equity and socio-economic disparities in education, ensuring UIS reporting reflects inclusion and gender dimensions
  • Develop and maintain comprehensive metadata systems aligned with international standards
  • Establish and implement data quality assurance frameworks
  • Promote transparency, reproducibility, and documentation of statistical processes
  • Contribute to strengthen data governance practices, including data stewardship and compliance
  • Lead the integration of statistical software tools (e.g. R, Python, Stata, SQL-based systems) into data production workflows
  • Promote the use of AI and machine learning techniques for data validation and anomaly detection, data imputation and estimation, classification and coding of large datasets, natural language processing for metadata and document analysis
  • Ensure ethical and responsible use of AI in line with UNESCO principles
  • Contribute to methodological development and reporting of SDG 4 indicators
  • Support Member States in implementing standards and reporting mechanisms
  • Prepare technical reports, analytical papers, and policy briefs as needed
  • Design and deliver capacity-building programmes on standards, data integration, and advanced analytics
  • Develop guidance materials, toolkits, and training modules
  • Provide direct technical assistance to Member's and regional organizations
  • Facilitate knowledge sharing and communities of practice
  • Represent the UIS in international, regional, and inter-agency forums and expert groups
  • Collaborate with international partners (e.g. Eurostat, OECD, UNSD)
  • Build and maintain partnerships with national statistical offices, UN agencies, and research institutions
  • Set clear expectations for staff
  • Engage in continuous performance dialogue
  • Develop and support staff

Requirements

  • Advanced university degree (Master's) in statistics, data science, economics, or a related field with a substantial applied statistics / data sciences component
  • Minimum of seven (7) years of progressively responsible experience in official statistics, data systems, or related fields
  • Developing statistical standards and classifications
  • Managing large datasets integration and interoperability
  • Extensive use of statistical software and data platforms
  • Proven expertise in statistical framework, standards, methods and tools
  • Proven expertise in statistical production processes and procedures, including data quality assurance standards and procedures
  • Strong analytical skills for interpreting data and informed policymaking
  • Ability to design long term plans and programs in line with strategic priorities
  • Ability to manage an effective and collaborative team in a multicultural environment
  • Excellent communication skills
  • Strong knowledge of international statistical standards (e.g. SDMX)
  • Proficiency in statistical software (R, Python, Stata) and data management tools (SQL, data warehousing solutions)
  • Familiarity with cloud-based data platforms and APIs
  • Demonstrated experience with AI/ML applications in statistics or data science
  • Excellent knowledge of English (verbal and written)
  • Good knowledge of French (verbal and written)

Nice to have

  • Experience in a National Statistical Office, an international organization or UN system is desirable
  • Knowledge of SDG monitoring frameworks is an asset

What we offer

  • 30 days annual leave
  • Family allowance
  • Medical insurance
  • Pension plan

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