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Logic Managed Services in London is seeking a Contract Delivery Manager to drive our Global Data Strategy. You will coordinate data initiatives across Product, Engineering and Transformation, guiding multiple teams to deliver data products and programmes.
The role combines hands-on delivery with strategic planning: manage dependencies, remove blockers, and ensure alignment with business objectives. Databricks and data platforms experience are highly valued, along with Jira/Azure DevOps usage.
Contract Delivery Manager – Global Data Strategy
Location: London / Hybrid
Contract: 6 months+
Rate: c£400 per day
Are you an experienced Delivery Manager with a strong background in data initiatives and technical delivery?
We're looking for a Contract Data Delivery Manager to join a Global Data Strategy function, helping multiple engineering teams deliver high-quality data products, programmes and projects aligned to strategic business objectives.
This is an opportunity to step into a complex data environment and make an immediate impact — bringing teams together, managing dependencies, removing blockers and ensuring strategic data initiatives are delivered successfully.
You'll work at the intersection of Data, Product, Engineering and Transformation, coordinating delivery across multiple teams and ensuring everyone is aligned around common outcomes.
You'll be responsible for:
We're looking for an experienced Delivery Manager / Technical Project Manager with a proven track record of delivering complex initiatives within a data and technology environment.
You'll ideally have:
You'll be joining a global data organisation and working across Product, Engineering, Architecture, Quality Assurance and Transformation to deliver strategically important data products and initiatives.
You'll have the opportunity to make a tangible impact on delivery performance, ways of working and the successful execution of the data roadmap.
If you're a Delivery Manager with hands‑on experience delivering data programmes, projects or products, understand modern data platforms and Data Lakes, and are comfortable operating across multiple engineering teams, we'd love to hear from you.
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