- Global Investment Manager (~€15bn AUM, 28 international entities)
I’m working with a large-scale investment management platform to hire a Data Quality Lead into a newly created greenfield Group Data function.
This is a rare opportunity to build a data quality capability from scratch across a complex, international environment, shaping how data is defined, controlled, and trusted across the business.
The Business
Global asset manager with ~€15bn AUM operating across 25+ international subsidiaries, large-scale, data-heavy environment spanning real estate, credit and lending significant investment into a brand-new data platform and centralised data function, moving toward a modern Azure-based architecture with strong executive backing.
The role
Define what “good” looks like for data across key business-critical datasets, build data quality frameworks, rules, and thresholds from the ground up, implement automated monitoring, controls, and alerting across data pipelines and lead root cause analysis of data issues and drive fixes at source.
What they’re looking for
- Proven experience leading data quality or governance within large, complex environments.
- Experience building frameworks in a greenfield or transformation setting
- Strong SQL and Python.
- Familiarity with data quality / observability tooling and third-party solutions
- Background in financial services, asset management, lending, or credit environments.
- Hands‑on mindset – this is a build role, not just oversight
This is a high-impact role within a major programme, ideal for someone who enjoys building data capability at scale and wants true ownership from day one.
If you feel like you would be a good match, please apply with your CV to find out more.
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