Senior Project Officer (Standards and Data Integration)

Position Number: 1CAUIS0104PA

Grade:P-4

Parent Sector: Institute for Statistics (UIS)

Duty Station: Montreal

Job Family: Education

Contract Type:Project Appointment

Duration of contract: 1 year

Recruitment open to:Internal and external candidates

Application deadline (Midnight Paris Time): 12/06/2026

UNESCO Core Values: Commitment to the Organization Integrity Respect for Diversity Professionalism

Duration of contract: 1 year with possibility of extension subject to availability of funds and satisfactory performance.

Background

Established in 1999 the UNESCO Institute for Statistics (UIS) serves as UNESCOs statistical agency for its 193 Member States and 12 Associate Members. Its mandate focuses on producing crossnationally comparable data to support global regional and national development agendas across the fields of education science culture and communication and information. UIS is the official statistical agency of UNESCO and serves as the custodian agency for several indicators under the Sustainable Development Goals.

UIS provides technical support to Member States to help them generate highquality transformative data guided by three core pillars: standards and methodologies data production and brokering and outreach. As outlined in its Medium-Term Strategy the UIS envisions a world in which countries policies and decisionmaking are grounded in robust statistical information enabling them to benchmark progress toward national and international goals and to learn from the experiences of others.

The UIS provides data and technical inputs for global regional and funding mechanisms supporting education including the UN Transforming Education Summit the Global Education Cooperation Mechanism (GCM) the G7 the G20 and the Global Partnership for Education (GPE) Results Framework.

As part of its mandate to strengthen data reporting the UIS in partnership with the Global Education Monitoring Report (GEMR) achieved global consensus on the adoption of an SDG 4 benchmarking process. As coleaders of the data and monitoring function of the GCM the UIS supports countries in setting and monitoring their national targets for 2025 and 2030.

Within this framework the UIS is responsible for:

• Developing and maintaining international statistical standards.
• Supporting Member States in data production and reporting.
• Ensuring data comparability and interoperability across countries and sectors.
• Providing data to fuel policies and investments that transform lives and propel global development goals.

The growing diversity of data sourcesincluding administrative systems surveys learning assessments and emerging data streamsrequires enhanced capacity in data integration metadata governance and the application of advanced analytics including artificial intelligence (AI).

Purpose

Under the overall authority of the Director of the UIS and the direct supervision of the Chief of the Education Section 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. S/he will contribute to the timely update of the global education indicator database maintaining high standards of quality comparability and relevance.

More specifically the incumbents main activities will include the following:

A. Leadership in Statistical Standards
Lead the planning coordination and execution of the units work plan ensuring alignment with Educations 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 Sections 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.

B. Data Integration and Interoperability
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.

C. Metadata Data Quality and Governance
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.

D. Innovation Statistical Software and Artificial Intelligence
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:
o Data validation and anomaly detection.
o Data imputation and estimation.
o Classification and coding of large datasets.
o Natural language processing for metadata and document analysis.
Ensure ethical and responsible use of AI in line with UNESCO principles.

E. Support to SDG Monitoring and Reporting
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.

F. Capacity Development and Technical Assistance
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 Members and regional organizations.
Facilitate knowledge sharing and communities of practice.

G. Partnerships and Representation
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.

H. People and talent management
Set clear expectations Provide all staff under her/his supervision with clear objectives and performance expectations that are aligned with organizational strategy and policy and offer the direction needed to achieve results.
Engage in continuous performance dialogue Hold regular performance discussions give timely and constructive feedback identify learning and development goals foster a supportive environment for personal and professional growth and recognize both individual contributions and team achievement.
Develop and support staff Manage mentor guide develop and train staff under her/his supervision to build capability and ensure high quality performance.

Expected Results
Strengthened and widely adopted international statistical standards.
Improved integration and interoperability of multi-source data systems.
Enhanced data quality comparability and timeliness.
Increased use of statistical software and AI in data production and analysis
Strengthened national capacities in standards implementation and data integration
Effective contribution to global monitoring of the Sustainable Development Goals.
Effective documentation of statistical processes.

• Communication (C)
• Accountability (C)
• Innovation (C)
• Knowledge sharing and continuous improvement (C)
• Planning and organizing (C)
• Results focus (C)
• Teamwork (C)
• Professionalism (C)
• Building partnerships (M)
• Driving and managing change (M)
• Strategic thinking (M)
• Making quality decisions (M)
• Managing performance (M)
• Leading and empowering others (M)

For detailed information please consult the UNESCO Competency Framework.

EDUCATION

• Advanced university degree (Masters) in statistics data science economics or a related field with a substantial applied statistics / data sciences component.

WORK EXPERIENCE

• 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.

SKILLS AND COMPETENCIES

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.

TECHNICAL REQUIREMENTS
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.

LANGUAGES

• Excellent knowledge of English (verbal and written).

• Good knowledge of French (verbal and written).

WORK EXPERIENCE

• Experience in a National Statistical Office an international organization or UN system is desirable.

TECHNICAL REQUIREMENTS

• Knowledge of SDG monitoring frameworks is an asset.

UNESCOs salaries consist of a basic salary and other benefits which may include if applicable: 30 days annual leave family allowance medical insurance pension plan etc.

The approximate annual starting salary for this post is 117 598 USD.

For full information on benefits and entitlements please consult ourGuide to Staff Benefits.

Please note that all candidates must complete an on-line application and provide complete and accurate information by the above deadline.

To apply please visit the UNESCO Careers website. No modifications can be made to the application once submitted.

The process may include pre-recorded video interviews and/or written assessments interviews with a Panel as well as reference addition candidates may be requested to provide additional information which may be pertinent to the positions qualifications.

Please note that all candidates whether selected or not will be informed of the outcome of their application in due course.

Short-listed candidates may also be added to Talent Pools; subject to their consent (i.e. Data Privacy Statement).

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