Location: Geneva, Switzerland
Job Reference: 26300-TA
Grade: P2
Contract Duration: 1 year (renewable up to a maximum cumulative period of 2 years)
Application Deadline: 25 November 2026 at 12:59 AM
Organizational Context
The position is located in the WIPO Academy and supports Academy-wide educational technology (EdTech) initiatives, services and projects.
The WIPO Academy is WIPO’s capacity-building arm, delivering intellectual property (IP) education globally through online, hybrid and face-to-face programmes, supported by an integrated and evolving digital learning ecosystem.
The purpose of the position is to strengthen the WIPO Academy’s data, analytics and AI-enabled capabilities to support effective digital learning services, evidence-based decision-making and continuous service improvement. The incumbent will contribute to developing reliable, secure and responsible data and AI solutions across the Academy’s EdTech ecosystem.
Duties and Responsibilities
The successful candidate will:
- Support the design, development and maintenance of data engineering, reporting, learning analytics, dashboards and AI solutions for WIPO Academy EdTech platforms and initiatives.
- Analyse data and reporting requirements across Academy EdTech services and propose improvements to data models, technical specifications and rules.
- Contribute to reviewing and assessing existing Academy data sources, reports, dashboards, feedback mechanisms and related initiatives.
- Develop and maintain the Data Dictionary and related documentation in coordination with relevant Academy and technical stakeholders.
- Support data extraction, transformation, integration and automation across relevant Academy digital services and platforms.
- Develop, maintain and improve dashboards, reports and analytical tools related to performance indicators.
- Monitor and analyse data quality, identifying and resolving inconsistencies and gaps.
- Apply practical AI methods and tools, where appropriate, to support data extraction, analytical and output tools, and contribute to the design, testing and validation of AI use cases and pilots.
- Perform other related duties as required.
Requirements
Education (Essential)
- First-level university degree in Computer Science, Information Systems, Data Analytics, Data Science, Artificial Intelligence, Educational Technology, Digital Transformation or a related discipline.
Education (Desirable)
- Advanced university degree.
Experience (Essential)
- At least three years of professional experience in data analytics, business intelligence, data engineering, AI-enabled applications, information systems or digital service delivery.
- Demonstrated experience in data modelling, data quality control and technical documentation.
- Experience developing and customising dashboards, reports and visualisations using Tableau, Power BI or similar business intelligence tools.
- Experience supporting cross-system data workflows, integrations, APIs, databases, ETL processes and data pipelines, including the use of SQL and Python.
- Experience working with technical teams, business stakeholders and/or external service providers to deliver digital or data-driven solutions.
Experience (Desirable)
- Experience with Moodle-based or other learning management platforms and/or data governance and analytics practices, including learning analytics, data quality frameworks, metadata management, reporting standards and technical documentation.
- Experience with JIRA or similar tools for bug tracking, service management, project follow-up or release coordination.
- Experience working in an international, multilingual or multilateral environment.
Language
- Excellent written and spoken English is required.
- Knowledge of other official UN languages is desirable.
Job-Related Competencies (Essential)
- Strong analytical and problem-solving skills, with a sound understanding of data analytics, business intelligence, reporting workflows and data quality principles.
- Demonstrated ability to perform basic AI-based coding independently.
- Ability to translate business and reporting needs into data requirements, technical specifications, data mappings, reporting logic and dashboard outputs.
- Knowledge of databases, APIs, data integration, automation, digital service management and AI-enabled data and analytics services, including responsible innovation and human oversight considerations.
- Understanding of IT systems architecture, privacy, security, accessibility and deployment in a large organisation.
- Ability to support testing, release readiness, documentation, user training, quality assurance, operating procedures and knowledge transfer.
- Strong stakeholder coordination, communication, planning and follow-up skills, with the ability to work effectively in a multicultural and multilingual environment.
- Practical knowledge of AI tools and technologies relevant to data engineering, analytics and reporting.
Organizational Competencies
- Communicating effectively.
- Showing team spirit.
- Demonstrating integrity.
- Valuing diversity.
- Producing results.
- Showing service orientation.
- Seeing the big picture.
- Seeking change and innovation.
- Developing yourself and others.
Salary Information
The annual salary for Grade P2 is based on the October 2026 post adjustment rate of 80.3%.
- Annual net salary: USD 50,377
- Post adjustment: USD 40,453
- Total annual salary: USD 90,830
Salaries and allowances are paid in Swiss francs at the official United Nations exchange rate. The post adjustment is variable and subject to change.
Additional Information
The temporary appointment is renewable, subject to continuing needs, budget availability and satisfactory performance, up to a maximum cumulative period of two years.
Applications from qualified women, nationals of unrepresented WIPO Member States and nationals of underrepresented geographical regions are encouraged.
WIPO reserves the right to make an appointment at a grade lower than advertised. Shortlisted candidates may be required to provide scanned copies of identification and relevant academic qualifications. Additional testing or interviews may be used as part of the selection process. Initial appointment is subject to satisfactory professional references, and additional background checks may be required.
How to Apply
Interested candidates should submit their applications online through the WIPO recruitment portal before the closing date.
Apply Online: Click here to apply
Application Deadline: 25 November 2026 at 12:59 AM (applicant’s local time).