Requirements
- Proven experience operating as a senior Capability Lead, Head of Data, or equivalent within a consultancy or complex delivery organisation.
- Demonstrable success building and scaling multi-disciplinary Data capabilities, not solely Data Engineering teams.
- A track record of shaping and delivering Data & AI-led solutions with clear commercial and client impact.
- Experience engaging confidently with senior client stakeholders, including technology, data, and business leaders.
- Deep, hands-on understanding of modern cloud-native data platforms and analytics ecosystems.
- Significant experience designing and delivering AWS-centric data platforms, including lakehouse and streaming architectures using services such as S3, Glue, Redshift, EMR, and Kinesis.
- Practical experience with modern data platforms such as Databricks, Microsoft Fabric, and Snowflake.
- Familiarity with Azure and GCP data ecosystems to support multi-cloud client environments and enterprise-scale architectures.
- Strong grasp of ML lifecycle management, MLOps, and production AI systems.
- Ability to connect technical decisions to business value, risk, regulation, and operational constraints.
- A clear, well-formed point of view on how Data and AI should be applied pragmatically to deliver outcomes, rather than hype.
Benefits
- 35 days leave (including bank holidays).
- Private medical insurance.
- Enhanced parental and adoption leave.
- Financial coaching + 5% pension match.
- 40 hours of paid learning and development.
Team
Team size: over 600 people
