Junior AI & Communications Intelligence Officer

Junior AI & Communications Intelligence Officer

OECD - Organisation for Economic Cooperation and Development

Paris, France

From € 4638.76 per month

COM is seeking a highly motivated and analytically minded Junior Communication & AI Intelligence Officer to support the OECD’s work in measuring the visibility, reach and impact of its communications both in traditional and AI-mediated information environments. Reporting to the Head of the Communications Impact Unit, the selected candidate will contribute to strategic analysis of the uptake, influence and policy footprint of OECD content, across media, digital platforms, policy and academic ecosystems, with a particular focus on emerging AI-driven dynamics such as Large Language Models (LLMs), generative search and AI referrals.

Main Responsibilities

AI driven visibility and Communications intelligence

• Contribute to the analysis of OECD visibility in AI-mediated environments (e.g. LLM referrals, generative search, bot-driven traffic);
• Support the monitoring and interpretation of LLM bot activity (e.g. traffic patterns, content access, caching effects) and its implications for communications performance;
• Contribute to the development of metrics and proxies to assess OECD presence and influence in AI systems and contribute to exploratory work on Generative Engine Optimisation (GEO) and AI discoverability;
• Lead analytical work on policy and academic citations of OECD outputs, including their footprint in policy in Member countries;
• Support analysis of publication performance, integrating both traditional metrics (downloads, citations) and emerging AI-related indicators;
• Assist in data preparation, analysis, interpretation and visualisation for publication analytics.

Media intelligence and communications analytics

• Contribute to media monitoring and analysis, including interpretation of shifts in the media landscape linked to AI and platform changes;
• Support the preparation of media briefs and targeted monitoring for high-profile priorities and missions (e.g. accession processes and priority policy areas), and contribute as needed to the daily media newsletter OECD in the News;
• Work closely with analysts, communications teams across COM to ensure coherent delivery of outputs and contribute to the development of new methodologies combining traditional communications metrics with AI-era indicators;
• Support experimentation and pilot projects related to AI in communications analytics and contribute to continuous improvement of analytical processes, tools and reporting formats.

Performance monitoring & reporting

• Support the development, maintenance and continuous improvement of communications performance dashboards and reporting tools (e.g. Power BI);
• Integrate traditional and emerging AI-related indicators into existing reporting framework;
• Ensure data quality, consistency and reliability across analytical outputs and reporting systems.

Qualifications

Academic Background

• University degree in communications, data analysis, public policy, economics, political science, international relations, or a related field.

Professional Background

• Experience in analytics, media intelligence, communications monitoring or performance evaluation;
• Demonstrated interest in AI, digital ecosystems and the transformation of information environments;
• Familiarity with concepts such as LLMs, generative AI, algorithmic distribution, or digital platforms;
• Experience working with data related to publications, media, web analytics or policy impact;
• Strong drafting and synthesis skills, with the ability to translate complex data into clear insights;
• Good organisational skills and attention to detail.

Tools & technical skills

• Familiarity with data visualisation tools (e.g. Power BI);
• Exposure to web analytics, media monitoring, or data platforms (e.g. Google analytics, social listening tools);
• Good understanding in:
  • AI tools and environments (e.g. LLMs, generative AI tools);
  • Data interpretation in AI-driven contexts (e.g. bot traffic vs human traffic);
  • Willingness to develop skills in emerging AI analytics and measurement approaches.

Languages

• Fluency in one of the two OECD official languages (English and French) and knowledge of the other, with a commitment to reach a good working level;
• Knowledge of one or more other languages would be an asset.