Overview
Data & AI Service Delivery Manager for the Sizewell C Civil Works Alliance (CWA), a joint delivery organisation involving Sizewell C and three international construction companies. The role is responsible for delivering the data services and capabilities that underpin the CWA strategic programme, enabling scalable, ethical, and value-driven AI capabilities by orchestrating integration to, and utilisation of, the client’s data platform and the Alliance’s own data platform and services.
The Alliance data platform operates as a discrete node within the client’s wider ecosystem. The postholder will ensure that strong data foundations are built to enable scalable, ethical, and value-driven AI capabilities.
Specialized in civil engineering and engineering structures, Bouygues Travaux Publics is a key collaborator in this project, with a focus on delivering clean energy infrastructure and associated data and AI services.
Principal Accountabilities, Activities and Decisions
Service Management
- Lead the delivery of the service required to support the CWA Data & AI Strategy, ensuring alignment with Alliance and client strategic objectives.
- Take direction from CWA Project Controls on Reporting and Governance priorities.
- Take direction from CWA IT & Data for Integration and wider delivery priorities.
- Hands-on project delivery within the CWA IT governance and delivery frameworks.
- Manage risks, dependencies, and resources across internal, client, and third-party teams.
Data Service Establishment
- Oversee the setup and integration of data services across the Alliance node and the client’s data platform.
- Ensure data architecture, pipelines, and governance models support secure, compliant, and scalable operations.
- Champion data quality, lineage, and stewardship across shared environments.
- Manage patterns for both reporting and interface capability.
AI Enablement
- Collaborate with AI and analytics project teams to ensure data readiness for machine learning and advanced analytics.
- Promote ethical AI practices, including bias mitigation, transparency, and responsible use.
- Support the development and operationalisation of AI use cases that deliver measurable business value.
Stakeholder Engagement
- Build strong relationships across the Alliance, client stakeholders, and external partners.
- Engage stakeholders to ensure alignment of delivery activities with programme needs.
- Facilitate programme boards, steering groups, and cross-functional workshops.
Team Leadership & Capability Building
- Lead multidisciplinary delivery team including data engineers and analysts.
- Mentor and develop delivery capability within the Alliance’s data and AI space.
- Foster a culture of collaboration, innovation, and continuous improvement.
Knowledge, Skills, Qualifications & Experience
Knowledge & Skills
Essential
- Proven experience of data service delivery management
- Strong project and programme management skills
- Strong understanding of data management principles, including governance, architecture, and integration
- Experience working with cloud-based data platforms, ideally in federated or shared environments
- Familiarity with AI/ML lifecycle and data requirements for model development
- Excellent stakeholder management and communication skills
Desirable
- Experience working with client-owned infrastructure and shared data platforms
- Knowledge of data privacy regulations (e.g., GDPR) and ethical AI frameworks
- Agile and Waterfall delivery experience and certification (e.g., SAFe, Scrum, APM)
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