Associate Digital Intelligence and Analytics Officer

WIPO Headquarters, 34, chemin des Colombettes, 1211 Geneva 20, Switzerland (GE020)

IMPORTANT NOTICE REGARDING APPLICATION DEADLINE: please note that the deadline for applications is indicated in local time as per the time zone of the applicant’s location.

a. Organizational Setting

The post 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 programs, supported by an integrated and evolving digital learning ecosystem.
The Academy plays a central role in strengthening the capacity of countries to use the IP system effectively. It adopts an interdisciplinary approach to IP education, exploring its links with trade, innovation, health, applied sciences, information technology and the creative industries.

b. Purpose Statement

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. This role contributes to the development of reliable, secure and responsible data and AI solutions across the Academy's EdTech ecosystem, enabling greater operational efficiency, actionable insights and innovation in support of the Academy's strategic objectives.

c. Reporting Lines

The incumbent works under the supervision of the eLearning IT Solutions Manager

The incumbent will perform the following principal duties:

a. Support the design, development and maintenance of data engineering, reporting, learning analytics, dashboards, and AI-solutions for WIPO Academy EdTech platforms and initiatives.

b. Analyze data and reporting requirements across Academy EdTech services and propose improvements to data models as well as technical specifications and rules.

c. Contribute to the review and assessment of existing Academy data sources, reports, dashboards, feedback mechanisms and related initiatives.

d. Develop and maintain Data Dictionary and related documentation, in coordination with the relevant Academy and technical stakeholders.

e. Support data extraction, transformation, integration and automation across relevant Academy digital services and platforms.

f. Develop, maintain and improve dashboards, reports and analytical tools related to performance indicators.

g. Monitor and analyze data quality, identify and solve inconsistencies and gaps.

h. Apply practical AI methods and tools, as appropriate, to support data extraction, analytical and output tools, and contribute to the design, testing, and validation of AI use cases and pilots.

i. Perform other related duties as required.

Education (Essential)

A first-level university degree in Computer Science, Information Systems, Data Analytics, Data Science, Artificial Intelligence, Educational Technology, Digital Transformation or 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.

Demonstrated experience in developing and customizing dashboards, reports and visualizations using Tableau, Power BI or similar business intelligence tools.

Experience supporting cross-system data workflows, integrations, APIs, databases, ETL processes and data pipelines including 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 (Essential)

Excellent written and spoken English is required.