La Fosse
Data Steward
Skills
1 month ago
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Important information
Contract type:
Permanent
Location:
Manchester, UK
Work mode:
Onsite
Published on:
16 September 2026
What they need
Data Steward
- Paying £90k base + 17.5% bonus
- Hybrid in Manchester – 1 day per week
- Global Investment Manager (~€15bn AUM, 28 international entities)
I’m working with a global investment platform to hire a Data Steward into a newly formed data team, responsible for bringing structure and clarity to how data is defined and used across the organisation.
This is a front-line role in a greenfield environment, where you’ll play a key part in shaping how data is understood across the business.
The Business
They are a global asset manager with ~€15bn AUM operating across 25+ international subsidiaries. Complex, multi-entity data landscape across real estate, lending and credit building a centralised data platform with a strong focus on governance and quality with an opportunity to shape data practices across a large-scale international operation.
The Role
- Document data lineage from source to consumption across key datasets.
- Build and maintain the organisation’s data catalogue and work closely with Data Engineering to understand and validate data transformations.
- Support the definition and measurement of data quality alongside the Data Quality Lead.
- Investigate data issues and help drive root cause resolution
- Act as the go-to SME for specific datasets within the business
What they’re looking for
- Experience in data governance, data management, or analytical roles
- Strong stakeholder skills — able to bridge business and technical teams
- Comfortable working hands-on with data (SQL preferred).
- Experience documenting data lineage, definitions or transformations
- Background in financial services, lending, credit or asset management is beneficial
- Detail-oriented, proactive, and comfortable in a fast-moving environment
This is a great opportunity for someone who enjoys getting close to the data and wants to play a key role in building data foundations from scratch.
If you feel like you would be a good match, please apply with your CV to find out more.
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