Data & AI Service Delivery Manager
Bouygues Travaux Publics invites applications for the Data & AI Service Delivery Manager role. The position is part of the Civil Works Alliance for the Sizewell C project, delivering a 3.2 GW nuclear power station on the Suffolk coast.
Responsibilities
* Lead the delivery of services supporting 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.
* Oversee set up 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.
* 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.
* 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.
* Lead a 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
* Proven experience in 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).
Seniority Level
* Mid‑Senior level
Employment type
* Full‑time
Job function
* Project Management and Information Technology
Industries
* Construction
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