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- Tasks: Lead data services for a groundbreaking clean energy project and ensure ethical AI practices.
- Company: Join Bouygues Travaux Publics, a leader in sustainable infrastructure and civil engineering.
- Benefits: Competitive salary, diverse work environment, and opportunities for professional growth.
- Why this job: Be part of a once-in-a-generation project delivering clean energy to millions.
- Qualifications: Experience in data service delivery and strong project management skills required.
- Other info: Collaborative team culture with a focus on innovation and continuous improvement.
The predicted salary is between 48000 - 72000 £ per year.
Specialized in civil engineering and engineering structures, Bouygues Travaux Publics is one of the world leaders in the fields of land use planning and sustainable infrastructure construction. Bouygues Travaux Publics is committed to diversity and is open to all talents.
Be part of this ‘once in a generation’ project that will deliver clean energy to 6 million homes for the next 60 years. Sizewell C will see the creation of a 3.2 Gigawatt nuclear power station on the Suffolk coast to provide reliable low-carbon electricity.
The Civil Works Alliance is an extended delivery enterprise involving Sizewell C and three international construction companies: Balfour Beatty, Bouygues Travaux Publics and Laing O’Rourke. We are more than just an alliance; we are bringing together a single delivery organisation with years of learning and experience from other major complex infrastructure programmes worldwide.
CWA have defined and established a Data & Reporting Strategy in collaboration with the client Sizewell C and are seeking a Data & AI Service Delivery Manager to join the mega project that is Sizewell C.
The Data & AI Service Delivery Manager is responsible for delivering the data services and capabilities that underpin the successful delivery of the CWA strategic programme to establish and evolve data services within the Alliance organisation. The role will orchestrate integration to, and utilisation of, the client’s data platform and services, alongside 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.
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).
Data & AI Service Delivery Manager in Ipswich employer: Bouygues Travaux Publics
Contact Detail:
Bouygues Travaux Publics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data & AI Service Delivery Manager in Ipswich
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those connected to Bouygues Travaux Publics or similar projects. LinkedIn is your best mate here; drop them a message and express your interest in the Data & AI Service Delivery Manager role.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of data management principles and AI practices. We want you to showcase your understanding of governance and architecture, so have some examples ready that demonstrate your experience in these areas.
✨Tip Number 3
Don’t just wait for job openings to pop up! Keep an eye on our website and apply directly through it. This shows initiative and gives you a better chance of being noticed by the hiring team.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. It keeps you fresh in their minds and shows your enthusiasm for the role. Plus, it’s a great opportunity to reiterate why you’re the perfect fit for the Data & AI Service Delivery Manager position.
We think you need these skills to ace Data & AI Service Delivery Manager in Ipswich
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data & AI Service Delivery Manager role. Highlight your experience in data service delivery management and any relevant projects you've worked on. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about the Sizewell C project and how your background makes you a perfect fit. Don’t forget to mention your understanding of data management principles and AI practices.
Showcase Your Stakeholder Engagement Skills: In your application, emphasise your experience in building relationships with stakeholders. We value strong communication skills, so share examples of how you've successfully engaged with teams and clients in the past.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of being noticed. It’s the easiest way for us to keep track of your application and ensure it gets to the right people!
How to prepare for a job interview at Bouygues Travaux Publics
✨Know Your Data Inside Out
Make sure you brush up on your data management principles, especially governance and architecture. Be ready to discuss how you've successfully delivered data services in the past, and think of specific examples that showcase your experience with cloud-based platforms.
✨Showcase Your Project Management Skills
Prepare to talk about your project and programme management experience. Highlight any methodologies you’ve used, like Agile or Waterfall, and be ready to explain how you’ve managed risks and resources effectively in previous roles.
✨Engage Stakeholders Like a Pro
Since stakeholder engagement is key for this role, think of times when you’ve built strong relationships with clients or partners. Be prepared to share how you facilitated meetings or workshops to align delivery activities with programme needs.
✨Emphasise Ethical AI Practices
With a focus on ethical AI, be ready to discuss your understanding of bias mitigation and transparency in AI projects. Share any experiences you have with developing AI use cases that delivered measurable business value, and how you ensured data readiness for machine learning.
