Director Data

This is a unique opportunity to lead the build and scale of a next generation AI platform focused on synthetic data and large language models. You will shape the engineering direction, influence how machine learning systems are deployed at scale, and play a key role in defining how modern data products are delivered across a global organisation.

The Company

They are a global organisation operating at the intersection of data, technology, and insights. With a strong investment in AI and advanced analytics, they are developing innovative capabilities that combine machine learning, privacy, and research methodologies. Their work is grounded in scientific rigour and real-world impact, supported by collaborations with leading academic institutions. The culture is collaborative and cross-disciplinary, bringing together engineering, data science, and research expertise.

The Role

• You will lead the engineering function for a synthetic data platform, setting technical direction and building a high-performing, scalable team.
• Define and own the platform architecture for a cloud-native AI and ML environment.
• Lead, mentor, and grow a team spanning software engineering, data engineering, and MLOps.
• Establish best practices across software development, CI CD, and platform reliability.
• Standardise ML workflows across data, training, evaluation, and deployment.
• Build a secure, reliable, and auditable platform for synthetic data generation.
• Enable self-serve capabilities through APIs, tooling, and clear documentation.
• Embed privacy by design and governance controls aligned to sensitive data use.
• Partner closely with data scientists, product, and research teams to productionise models.
• Drive cost-efficient cloud usage and optimise performance of GPU-heavy workloads.

Your Skills and Experience

• Proven leadership experience managing and scaling cross-functional engineering teams.
• Strong background in designing distributed, asynchronous, and high-availability systems.
• Expertise in cloud platforms such as GCP and container orchestration with Kubernetes.
• Experience building or leading ML platforms, pipelines, or MLOps environments.
• Familiarity with modern AI systems including LLMs, vector databases, or deep learning frameworks.
• Strong understanding of data privacy, security, and governance within enterprise environments.
• Ability to bridge technical and non-technical stakeholders and influence at senior levels.
• Hands-on technical background with the ability to guide architectural decisions.

What They Offer

• Competitive salary with performance-based bonus.
• Hybrid working model with flexibility in team collaboration.
• Opportunity to shape a high-impact AI platform from an early stage.
• Clear progression as the team grows and the platform scales.
• Access to a collaborative and forward-thinking engineering environment.

How to Apply

If you are interested in leading a platform at the forefront of AI and synthetic data, please apply with your CV.