Data Platform Lead
Job Description
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Data Platform Lead
\n London, City
\n £highly competitive, with bonus and Benefits
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Lead the hands-on design and evolution of a shared enterprise data model across wealth and asset management divisions. You will be responsible for modelling, overseeing and guiding the integration of data from multiple source systems into a unified, scalable platform, working closely with both technical and senior business stakeholders to bring clarity and consistency to complex datasets.
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Key Responsibilities:
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- Lead hands-on oversight and evolution of enterprise-wide data models across wealth & asset management.
- Manage and guide integration of diverse data sources into a unified, scalable platform.
- Collaborate with global regional data and AI leads to ensure alignment with architectural standards.
- Partner with senior business stakeholders to define core data concepts, entities & metrics, and resolve ambiguity.
- Perform technical gap analysis of existing models, pipelines, and platform capabilities.
- Contribute technically to data engineering where needed.
- Build and evolve high-quality data products for reporting, analytics, and strategic decision-making.
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Required Experience:
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- 10+ years in data engineering, analytics engineering, or equivalent hands-on platform roles.
- Significant recent experience with wealth or asset management.
- Proven background designing and evolving enterprise-level data models.
- Strong familiarity with modern cloud data architectures and tooling (eg, Azure Data Factory, Databricks, lakehouse or data warehouse patterns).
- Experience delivering large-scale, multi-division data initiatives in wealth/asset management.
- Comfortable working directly with business stakeholders while maintaining technical ownership.
- Ability to operate effectively where requirements are incomplete and data is complex.
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Why This Role?
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- Shape a greenfield and evolving enterprise data model with significant ownership and influence.
- High-visibility position collaborating with senior leadership and across geographies.
- Opportunity to combine technical delivery with broader data leadership.
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