Head of Data
Head of Data/Data Platform Engineering
Hybrid/London
The Head of Data will lead the strategic and technical delivery of enterprise-wide data platform modernisation and cloud transformation initiatives within AWS. This role is accountable for defining the organisation's data platform strategy, establishing engineering and governance standards, and leading the successful delivery of scalable, secure, and business-aligned data programmes.
The position combines data leadership, platform engineering, cloud architecture, stakeholder management, and consulting expertise to enable enterprise data migration, analytics, AI/ML readiness, and downstream business consumption. The Head of Data will oversee cross-functional teams across data engineering, DevOps, infrastructure, governance, and platform operations while acting as the senior technical and strategic advisor to business and technology stakeholders.
Required Experience & Skills
Extensive experience in data engineering, cloud platforms, and enterprise data transformation programmes, including leadership responsibilities
Strong expertise across AWS services including S3, Lambda, IAM, VPC, DMS, and cloud-native data architectures
Proven experience leading enterprise-scale platform modernisation, migration, and cloud transformation initiatives
Deep understanding of Infrastructure-as-Code, Terraform, CI/CD frameworks, and modern DevOps practices
Strong experience with enterprise data platforms such as Snowflake, CDP, or modern cloud analytics ecosystems
Experience managing large-scale migration and ingestion programmes using CDC and event-driven architectures
Strong consulting and stakeholder management experience, with the ability to bridge business and technical teams
Experience leading data governance, operational standards, security, and compliance initiatives
Knowledge of AI/ML enablement platforms and supporting infrastructure such as AWS SageMaker
Strong leadership, communication, delivery governance, and programme management capabilities
Ability to lead and scale high-performing data engineering and platform teams