London / Hybrid – 3 days onsite per week
We’re working with a leading insurance consultancy and technology partner seeking an experienced Data Delivery Manager to lead complex data programmes across the P&C and London Market insurance sector. This is an exciting opportunity to drive end-to-end delivery across multiple data workstreams, coordinating onsite and offshore teams and managing dependencies, risks and stakeholder expectations. You’ll combine strong technical expertise across cloud data platforms with hands-on delivery leadership to ensure programmes are delivered effectively and to the highest standards. Experience with Azure Databricks and Azure Data Factory is essential, alongside a solid understanding of data architecture, engineering and cloud transformation. Recent P&C insurance and London Market experience is a must. If you’re a delivery-focused leader who can bridge technical teams and business stakeholders to drive successful outcomes, we’d love to hear from you.
Key Responsibilities
- Lead end-to-end delivery across enterprise data programmes, from requirements and planning through design, development, testing and deployment.
- Coordinate onsite and offshore delivery teams, ensuring clear priorities, effective communication and accountability across workstreams.
- Manage dependencies and interdependencies across multiple data programmes, proactively identifying risks, issues and delivery constraints.
- Provide technical leadership across enterprise data platforms, including Azure Databricks, Azure Data Factory, data integration and cloud-based data warehousing.
- Work closely with data architects, engineers, business stakeholders, vendors and integration partners to maintain delivery momentum and resolve technical or operational blockers.
- Oversee data architecture, data models, ETL pipelines and migration approaches, ensuring solutions are scalable, secure, performant and aligned with enterprise standards.
- Manage programme governance, including delivery plans, milestones, resource allocation, RAID logs, status reporting and stakeholder communications.
- Ensure appropriate data governance, data quality, validation and compliance controls are embedded throughout delivery.
- Support cloud modernisation and legacy-to-cloud migration initiatives, ensuring technical design decisions align with programme objectives.
- Drive continuous improvement across delivery processes, engineering practices and cross-team collaboration.
Key Requirements
- Proven experience as a Technical Delivery Manager, Data Delivery Lead, Data Programme Manager or equivalent, with ownership of complex data or technology programmes.
- Recent Property & Casualty (P&C) insurance and London Market experience is essential, ideally involving delivery for Lloyd’s, syndicates, managing agents, insurers or specialist brokers.
- Strong experience coordinating onsite and offshore teams across multiple workstreams.
- Experience delivering enterprise-scale data transformation, cloud migration, data integration or data platform programmes.
- Practical experience with Azure Databricks and Azure Data Factory is essential.
- Strong understanding of cloud data platforms, ETL frameworks, data warehousing, data models and data architecture principles.
- Ability to work effectively with data architects and engineering teams, providing technical direction and challenging solutions where necessary.
- Strong understanding of data governance, data quality, security, integration and migration.
- Excellent stakeholder management, communication, risk management and dependency management skills.
- Experience working within structured programme governance and Agile or hybrid delivery environments.
Interested? Click ‘APPLY’ to submit your CV.
Recruitment Note
Due to the volume of applications we receive, we may not be able to respond to every applicant individually. If you have not heard from us within five working days, please assume your application has been unsuccessful on this occasion. We review applications carefully and may contact you if another suitable opportunity becomes available.