Data Science & AI Coordinator

North Atlantic Treaty Organization

Location:
Mons, Belgium
Grade:
NATO Grade G15
Category:
Professional Staff
Posted Aug 17, 2026Apply by Sep 7, 2026 (15d left)
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The Data Science & AI Coordinator plays a critical role in coordinating and integrating data science and AI initiatives across NATO bodies, ensuring alignment with strategic goals and operational requirements. The role supports the adoption of AI across NATO, driving innovation, operational transformation, and contributing to NATO's digital transformation and capability development objectives.

Responsibilities

  • Coordinate and integrate data science and AI activities between HQ SACT's DSAI Branch, SHAPE, and NATO HQ, ensuring alignment with strategic goals and operational requirements.
  • Act as the ACT point of contact at SHAPE and NATO HQ for all data science and AI related matters, facilitating cross-functional collaboration across NATO bodies.
  • Facilitate cross-functional collaboration and ensure seamless integration of data science and AI initiatives across NATO bodies.
  • Work closely with DSAI to ensure alignment and consistency in data science and AI policies, strategies, and programs across the NATO Enterprise.
  • Contribute to the development of strategies and policies for data science and AI implementation across the NATO Enterprise, particularly focusing on ACO and NATO HQ needs.
  • Support the harmonization of data science and AI policies with NATO's overall digital transformation strategy.
  • Engage with key stakeholders at SHAPE, NATO HQ, and across the NATO Enterprise to advocate for and advance data science and AI initiatives.
  • Represent HQ SACT at multi-national working groups, sub-committees, boards and agencies responsible for data science, data exploitation and artificial intelligence.
  • Support the Data Exploitation Framework (Policy, Strategic Plan), AI Strategy, and Digital Transformation Implementation Strategy through vehicles such as the Data Exploitation Programme Implementation Plan ensuring its coordinated implementation.
  • Advocate for the adoption of data science and AI technologies within ACO and NATO HQ, highlighting their strategic importance.
  • Communicate the benefits, progress, and challenges of data science and AI projects to stakeholders within the NATO community.
  • Provide regular reports and updates on data science and AI initiatives and activities to senior leadership and other stakeholders, as required.
  • Perform other related duties as assigned.

Requirements

  • University Degree and 2 years function related experience, or Higher Secondary education and completed advanced vocational training leading to a professional qualification or professional accreditation with 4 years post related experience.
  • Five years of experience working in data science, AI, or a related field, with demonstrated expertise in coordinating and implementing data science and AI initiatives across complex, multi-national organizations.
  • Familiarity with modern software architecture and software development related to data science, analytics and data integration.
  • Experience in developing and executing strategies and policies, guidelines, and standards related to data science, AI, and digital transformation in accordance with industry best practices, particularly within a military or governmental context.
  • Must possess excellent analytic skills, the ability to summarize large amounts of written material and to communicate clearly and effectively in English.
  • Proven ability to work collaboratively across different functional areas and with diverse stakeholders, including senior leadership, to ensure alignment and consistency in the application of data science and AI technologies.
  • Experience in project management, including leading cross-functional teams, managing timelines, and ensuring the successful delivery of projects related to data science and AI.
  • Familiarity with NATO's organizational structure and military capability development.
  • Absorbs complex information and communicates effectively at all levels to both technical and non-technical audiences and stakeholders.
  • Understands and communicates industry developments, and the role and impact of DS&AI activities across the Alliance.
  • Strong communication and advocacy skills, with the ability to articulate effectively the strategic importance of data science and AI initiatives to both technical and non-technical audiences.
  • English - SLP 3333- (Listening, Speaking, Reading and Writing)
  • Desirable: Master’s degree in a relevant discipline such as Data Science, Computer Science, Software Engineering, Applied Mathematics, or a related field, with at least 5 years of post-related experience.
  • Desirable: Experience working within NATO or a similar international organization, with an understanding of NATO’s organizational structure and strategic objectives.
  • Desirable: Experience in contributing to or leading multi-national working groups, boards, or committees focused on data science, AI, or digital transformation.
  • Desirable: Proven experience in developing and implementing strategies and policies related to data exploitation, AI, and digital transformation, with a focus on harmonization across diverse organizational units and international stakeholders.
  • Desirable: Practical experience with AI and machine learning technologies, including deploying and integrating models within operational environments.
  • Desirable: Familiarity with modern cloud-based DevSecOps environments, containerization, and agile processes.
  • Desirable: Knowledge of responsibilities and staff functions performed at all levels of command in military organisations.

Skills

  • Data Science
  • Artificial Intelligence
  • AI Coordination
  • Data Integration
  • Software Architecture
  • Software Development
  • Strategy Development
  • Policy Development
  • Digital Transformation
  • Project Management
  • Cross-Functional Team Management
  • Stakeholder Engagement
  • Analytical Skills
  • Communications Skills
  • Military Capability Development
  • NATO Organizational Knowledge
  • Data Exploitation
  • Machine Learning
  • Cloud-based DevSecOps
  • Agile Methodologies

Languages

English