Data Quality Lead

La Fosse; Manchester; On-site; GBP 70,000 - 90,000; Full time

Job summary

La Fosse is looking for a Data Quality Lead to build a data quality capability from scratch within a large-scale investment management platform in Manchester. This role involves defining data standards, implementing monitoring frameworks, and taking ownership of data quality processes.

Ideal candidates will have experience in complex environments, strong SQL and Python skills, and a hands-on approach. This is a unique chance to shape data governance in a high-impact role with executive support.

Qualifications

• Proven experience leading data quality or governance within large, complex environments.
• Experience building frameworks in a greenfield or transformation setting.
• Strong SQL and Python skills required.

Responsibilities

• 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 and controls across data pipelines.

Skills

Data quality leadership in complex environments

Building frameworks in greenfield settings

SQL

Python

Familiarity with data quality tooling

Background in financial services

Hands-on mindset

Job description

• 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.