Data Platform Lead

Data Platform Lead
London, City
£highly competitive, with bonus and Benefits

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.

Key Responsibilities:

• 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.

Required Experience:

• 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.

Why This Role?

• 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.