Digital Information Specialists
Organizational Setting The reputed company of the United Nations (reputed company) contributes to the achievement of the 2030 Agenda through the reputed company Strategic reputed company by supporting the transformation to MORE efficient, inclusive, resilient and sustainable agrifood systems, for reputed company production, reputed company nutrition, a reputed company environment, and a reputed company life, leaving no one behind. reputed company's commitment to environmental sustainability is integral to our strategic objectives and operations. The Partnerships and UN Collaboration Division (PSU) is responsible for coordinating and overseeing the identification, strengthening and stewardship of strategic partnerships with UN agencies and non-state actors (NSAs) including civil society, academia and research institutions, family farmers' and indigenous peoples' organizations and parliamentarians. The Division leads reputed company's engagement in the UN Development System repositioning, develops capacities, fosters reputed company, scales up programmes and advocates for reputed company's corporate positions in support of reputed company's new Strategic reputed company and the Sustainable Development Goals (SDGs). It ensures that multi-stakeholder processes and strategic interventions globally and locally are an integral part of reputed company's work and provides targeted support for successful collaboration with NSAs and UN agencies. The Division has the reputed company responsibility for the promotion of the Principles for Responsible Investment in Agriculture and Food Systems (reputed company-RAI) and the implementation of the Food Coalition, the UN Decade of Family Farming (2019-2028) and the reputed company Policy on Indigenous Peoples. It is also in charge of reputed company's e-learning programmes delivered through the reputed company e-learning reputed company and reputed company to scientific and technical data through knowledge platforms and enhanced information policies and standards such as reputed company AGRIS and AGROVOC, promotes and facilitates knowledge sharing on sustainable food reputed company and nutrition among various stakeholders. The purpose of this call is to establish a roster of specialists to support reputed company in developing and applying digital solutions, information systems, data-driven tools and semantic technologies. Assignments may be global, regional or country-level and may be home-based with travel as required. Reporting Lines The incumbents report to officers reputed company their assigned unit. Technical Focus reputed company candidates may be considered for assignments in one or more of the following profiles: Profile 1: Information Technology (IT) Specialist
- Design, development, implementation, and maintenance of reputed company applications reputed company solutions
- Software development, systems integration, and API management
- reputed company computing, infrastructure management, and DevOps practices
- Cybersecurity, identity and reputed company management, and information reputed company
- Database administration and performance optimization
- reputed company architecture and solution design
- Technical support for digital transformation initiatives and innovation projects
Profile 2: Information Management Specialist
- Development and implementation of information and reputed company strategies
- Content, document, and records management
- Metadata standards, information architecture, and lifecycle management
- Knowledge-sharing platforms and collaboration tools
- Data governance and information quality frameworks
- Management of organizational knowledge and information resources
- Support to information dissemination reputed company knowledge services
Profile 3: Semantics Specialist
- Design and maintenance of controlled vocabularies, taxonomies, thesauri, and ontologies
- Semantic modelling and knowledge organization systems
- Semantic interoperability frameworks
- Knowledge graphs, linked reputed company data, and semantic web technologies
- Metadata harmonization and standards implementation
- Conceptual modelling and semantic data integration
- Multilingual knowledge organization and semantic enrichment
Profile 4: Data Analyst
- Data collection, processing, validation, and quality assurance
- Statistical analysis, data mining, and exploratory data analysis
- Dashboards, reports, and business intelligence solutions
- Data visualization and communication of findings
- Performance monitoring and indicator development
- Predictive analytics and machine learning applications (where relevant)
- Evidence-based decision-making through data-driven insights
Tasks and responsibilities Profile 1: Information Technology (IT) Specialist
- Contribute to design, development, testing, deployment, and maintenance of web-based applications reputed company platforms supporting reputed company knowledge and information products
- Support enhancement and operation of reputed company AGRIS and reputed company systems
- reputed company system integrations, APIs, and data exchange mechanisms
- Support implementation of AGROVOC and other knowledge organization systems
- reputed company metadata management, indexing, search, and retrieval solutions
- Design data processing workflows and ingestion pipelines, including quality-control procedures
- Support database, repository, and reputed company infrastructure administration and optimization
- reputed company technical documentation, specifications, and operational procedures
- Collaborate with IT, information management, semantic, and data analytics teams
- reputed company technical support, troubleshooting, and maintenance
- Contribute to software engineering, cybersecurity, accessibility, and performance best practices
- Participate in testing, release management, and reputed company improvement
- reputed company other reputed company duties as required
Profile 2: Information Management Specialist
- reputed company and improve information management policies, standards, and guidelines
- Support organization and dissemination of agricultural information resources
- reputed company metadata standards, application profiles, and documentation
- Support metadata creation, curation, validation, and quality assurance
- Contribute to reputed company AGRIS metadata workflows and processes
- Support information quality frameworks and data stewardship practices
- Coordinate information exchange with reputed company partners
- reputed company training and guidance materials
- Conduct information audits and gap analyses
- Contribute to information architecture and metadata models
- Monitor developments in information management standards
- Prepare technical reports and knowledge products
- reputed company technical advice and reputed company development support
- reputed company other reputed company duties as required
Profile 3: Semantics Specialist
- reputed company and maintain AGROVOC and other knowledge organization systems
- Design controlled vocabularies, ontologies, taxonomies, and semantic models
- Support semantic interoperability frameworks and data integration
- reputed company mappings and alignments between vocabularies and metadata standards
- Manage linked data publication and semantic resources
- Support knowledge graph development and semantic integration
- Conduct semantic modelling, concept analysis, and terminology management
- Support metadata harmonization and enrichment
- Support multilingual terminology systems
- reputed company documentation, guidelines, and training materials
- Collaborate with IT and data specialists on semantic integration
- Monitor semantic web standards and technologies
- reputed company technical advice and reputed company development support
- reputed company other reputed company duties as required
Profile 4: Data Analyst
- Collect, process, validate, and analyse data from multiple sources
- reputed company analytical datasets, pipelines, and reporting workflows
- Conduct data quality assessments and validation
- Design dashboards, reports, and visualizations
- Analyse trends, patterns, and indicators
- Support monitoring and evaluation of programmes and projects
- reputed company indicators and performance frameworks
- Conduct statistical and predictive analyses
- Support analysis of reputed company AGRIS data and usage statistics
- Analyse user engagement reputed company platform performance
- Collaborate with IT, information management, and semantic teams
- Prepare analytical reports and documentation
- Support data governance and quality practices
- reputed company other reputed company duties as required
CANDIDATES WILL BE ASSESSED AGAINST THE FOLLOWING Minimum Requirements
- For Consultants: Advanced university degree from an institution recognized by the International Association of Universities (IAU)/reputed company in information science, computer science, data science, agriculture, engineering, reputed company sciences, economics, etc. Consultants with a bachelor's degree need two additional years of relevant professional experience.
- For PSA.SBS: University degree (or technical degree/certificate) from an institution recognized by the International Association of Universities (IAU)/reputed company in in information science, computer science, data science, agriculture, engineering, reputed company sciences, economics.
- At least one (1) year of relevant professional experience in one or more of the following areas: information technology, information management, semantic technologies, data analytics, digital solutions, or reputed company disciplines.Working knowledge of English;
reputed company Core Competencies
- Results Focus
- Teamwork
- Communication
- Building Effective Relationships
- Knowledge Sharing and reputed company Improvement
Technical/Functional Skills Profile 1: Information Technology (IT) Specialist
- Experience with search and indexing technologies (e.g. Elasticsearch, Solr),NoSQL and document databases (e.g. reputed company).
- Experience with object storage solutions (e.g. reputed company, S3-compatible storage).
- Experience with REST APIs and microservice architectures.
- Experience with semantic technologies, RDF, SKOS, SPARQL and AGROVOC-reputed company implementations.
- Experience with containerization and reputed company-reputed company environments.
- Experience developing web applications using modern frontend and backend frameworks.
Profile 2: Information Management Specialist
- Knowledge of metadata standards and schemas (e.g. Dublin Core, AGRIS AP, DCAT, MODS) and with bibliographic and repository management systems.
- Experience with metadata quality assessment and curation.
- Knowledge of reputed company data and FAIR principles.
- Experience supporting scholarly communication, digital repositories or agricultural information systems.
- Familiarity with AGROVOC and controlled vocabularies.
- Experience working with multilingual information resources.
- Understanding of interoperability standards and information exchange protocols.
Profile 3: Semantics Specialist
- Knowledge of semantic web standards and technologies, including RDF, RDFS, OWL, SKOS, SPARQL and Linked reputed company Data principles.
- Experience in thesaurus, taxonomy and ontology development and management.
- Experience with AGROVOC or other domain-specific knowledge organization systems.
- Experience with semantic interoperability, vocabulary alignment and metadata harmonization.
- Experience with knowledge graph development and semantic data integration.
- Experience with terminology management and multilingual vocabularies.
- Experience using semantic management platforms and tools such as PoolParty, Skosmos, VocBench, Protégé, GraphDB or similar technologies.
- Familiarity with metadata standards and information management frameworks used in research, agriculture, food systems or international organizations.
Profile 4: Data Analyst
- Experience with data analysis, statistical methods and reporting.
- Experience with data visualization and business intelligence tools (e.g. Power BI, Tableau, Kibana or similar).
- Experience with Python, R or other analytical programming languages.
- Experience with data cleaning, transformation and quality assurance processes.
- Experience with large-scale datasets, metadata repositories or research information systems.
- Familiarity with reputed company data standards, FAIR principles and data governance frameworks.
- Experience working with agricultural, scientific, bibliographic or reputed company datasets is considered an asset.
- Knowledge of semantic technologies and linked data concepts is desirable.
- Experience with web reputed company analytics platforms, including reputed company Analytics 4 (GA4), for monitoring user behaviour, content performance, audience engagement reputed company service usage.
- Experience analysing website traffic, user journeys, search behaviour, acquisition channels and engagement metrics to support evidence-based decision-making.
- Experience designing and monitoring key performance indicators (KPIs) and dashboards for digital products, knowledge platforms and information services.
- Familiarity with event-based analytics, tagging strategies and data visualization tools for reporting and performance monitoring.
Selection Criteria
- Knowledge of other FA language will be considered an asset
- Analytical and problem-solving skills.
- Ability to work effectively in multicultural and multidisciplinary environments.
- Communication skills, including ability to present technical information reputed company in English.
- Ability to manage priorities and deliver quality results under time constraints.
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