We are looking for a data leader who can design and own the full lifecycle of data collection, structuring, and modelling—transforming these processes into scalable data systems; and who can ensure that data is interpretable, validated, and semantically meaningful for AI systems.

This role spans from data discovery and acquisition through to structuring, modelling, and transforming data into interconnected systems. The objective is not simply to store data, but to establish a living data infrastructure that actively supports product development, decision-making, and autonomous systems.

The position goes beyond managing data processes; it requires building, scaling, and sustaining robust data systems over time. It therefore calls for depth in data science and data systems, with the ability to ensure the integrity and continuity of what is built.

Role & Responsibilities

• Expand and lead the data team at a global scale
• Develop data analysis processes and deliver reliable, actionable outputs
• Design and develop data systems aligned with data revenue models
• Design and implement workflows for data collection, cleaning, validation, and structuring
• Build and manage large-scale data libraries
• Define and implement taxonomies and ontological structures for datasets
• Transform data libraries into scalable and progressively autonomous systems
• Design and manage databases with a focus on performance and scalability
• Work closely with software and AI teams to define and deliver data requirements
• Contribute to the development of the content management system in line with linked data principles
• Design and oversee data labelling processes and quality standards

Qualifications

• Proven experience in data science, data engineering, or data analytics
• Demonstrated ability to work with large, unstructured datasets and turn them into structured, sustainable systems
• Experience in building, operating, and maintaining data systems with long-term ownership
• Strong understanding of data modelling, data architecture, and data organisation
• Familiarity with taxonomies, ontologies, or structured knowledge systems (practical experience preferred)

Additonal Note

This role is intended for individuals who have not merely worked with data, but have built and taken responsibility for data systems and their long-term sustainability.