The Organisation for Economic Co-operation and Development (OECD) is an international organisation comprised of 38 member countries, that works to build better policies for better lives. Our mission is to promote policies that will improve the economic and social well-being of people around the world. Together with governments, policy makers and citizens, we work on establishing evidence-based international standards, and finding solutions to a range of social, economic and environmental challenges. From improving economic performance and creating jobs to fostering strong education and fighting international tax evasion, we provide a unique forum and knowledge hub for data and analysis, exchange of experiences, best-practice sharing, and advice on public policies and international standard-setting.

The Statistics and Data Directorate (SDD) (www.oecd.org/sdd) provides statistics and data on a comparable basis and from a variety of sources to analysts, policy makers, and members of civil society. SDD also develops new metrics and innovative digital tools to address emerging policy issues, leads the development of international statistical standards, advances statistical methodology, and co-ordinates statistical and data-related activities within the Organisation and with other international agencies.

Within SDD, the Smart Data Practices and Solutions Division (SDPS) is looking for a product manager profile to build smart data solutions for the OECD and the SIS-CC, with a special focus on product excellence including great user experience and high software quality. Digital products in this context are developed primarily as part of the open-source .Stat Suite, a platform aimed at progressively covering the full statistical data lifecycle and supporting various data management use cases in the official statistics context, in line with the SIS-CC strategy. The selected candidate will work in a diverse team with a LEAN/Agile, continuous improvement focus, and an ambition to promote best development practices for a wide range ofusers across the Organisation. The selected candidate will report to the Team Lead of the .Stat Suite Product Management team in the Smart Data Solutions section of SDPS.

Main Responsibilities

• Continuous improvement of data platforms, especially the open-source .Stat Suite platform products
  • Collect, analyse and identify user’s behavioural patterns through usability tests, users surveys/feedback and analytics, research how users engage with the products to understand user requirements and draft functional specifications that align with the organisation's overall business objectives;
  • Develop and monitor key performance indicators to assess user satisfaction and product quality in terms of functions, accessibility, performance, scalability and security;
  • Create and maintain comprehensive documentation and training material.

• DevSecOps process
  • Oversee, coordinate and continuously improve the lean/agile development process with the developers ensuring the successful and efficient delivery of high-quality solutions;
  • Lead stand-up sessions and liaise between product managers and solution developers;
  • Perform quality assurance testing to ensure the correct functioning of the products, incl. accessibility, contribute to develop related automated tests, and define acceptance criteria;
  • Contribute to implement innovative and efficient methods of working individually and as a team;

• Communication and Collaboration
  • Contribute to setting up collaboration frameworks and best practices with SIS-CC members;
  • Inform stakeholders of product updates and enhancements;
  • Animate or participate in developer meetings, architecture meetings and user research meetings;
  • Support community members on functional questions and contribute to continuous capacity building amongst them;
  • Provide regular reporting as required;
  • Share knowledge with peers as appropriate and work in close collaboration with other teams in EXD and across the Organisation.

Ideal Candidate Profile

Academic Background

• An advanced university degree in mathematics, statistics, computer science, economics, business administration, social science or in a related field.

Professional Background

• A minimum of 3 years' in-depth professional experience in designing and maintaining high-quality digital solutions with Lean or Agile methodologies and effectively liaising between software users and data and technology experts.
• Experience at a National Statistical Institute, National Central Bank, International Organisation, or research institute would be desirable.

Tools

• Excellent experience is required with the DevSecOps platform GitLab or GitHub and its issue, epic, board, milestone, pipeline, runner, dashboard and analytics management tools.
• Familiarity with Statistical Data and Metadata eXchange (SDMX) standard with a commitment to reach a good working knowledge would be a strong advantage.
• Good experience working with analytical tools and key indicator dashboards, such as Google Analytics, PowerBi and Grafana, and Docker image management tools, e.g., Docker Hub and Docker Scout, would be highly desirable.
• Working practice of tools for web browser and API debugging and for automated testing, such as Postman, as well as understanding basic concepts of modern programming languages (e.g., JavaScript, .Net), of operating systems (e.g., Windows, Linux), and of deployment technologies, like ClickOnce or Container-based deployments, would be an advantage.

Core Competencies

• OECD staff are expected to demonstrate behaviours aligned to six core competencies which will be assessed as part of this hiring processes: Vision and Strategy (Level 1); Enable People (Level 1); Ethics and Integrity (Level 2); Collaboration and Horizontality (Level 2); Achieve Results (Level 2); Innovate and Embrace Change (Level 2).
• To learn more about the definitions for each competency, please refer to OECD Core Competencies.

Languages

• Fluency in one of the two OECD official languages (English and French) and knowledge of, or a willingness to learn, the other.

Closing Date

• This vacancy should be filled as soon as possible, and applications should reach us no later than midnight 10 March 2026 (Paris time).

Contract Duration

• Open-ended appointment, with no foreseen end date.

Please note that our Rules and Regulations stipulate that the mandatory retirement age is 67.

What the OECD offers

• Depending on level of experience, monthly salary starts at 6,008.38 EUR, plus allowances based on eligibility, exempt of French income tax.
• Click here to consult the Staff Regulations applicable to officials of the OECD. Please note that from 1 July 2025, all Official appointments will be made under the OECD’s new contractual modalities.
• Click here to learn more about what we offer and why the OECD is a great place to work.  
• Click here to browse our People Management Guidebook and learn more about all aspects relating to people at the OECD, our workplace environment and many other policies supporting staff in their daily life.
• Please note that the appointment may be made at one grade lower in the specified job family, based on the qualifications and professional experience of the selected applicant.
• This vacancy may be used to create a pool of candidates for comparable positions, both for open-ended and fixed-term functions. 

Selection Process

For retained candidates, the selection process may include a video-recorded interview, job-based assessment and panel interviews.

The OECD is an equal opportunity employer and welcomes the applications of all qualified candidates [who are nationals of OECD member countries]*, irrespective of their racial or ethnic origin, opinions or beliefs, gender, sexual orientation, health or disabilities.

The OECD promotes an optimal use of resources in order to improve its efficiency and effectiveness. Staff members are encouraged to actively contribute to this goal.