Data Governance & Quality Manager

Join a logistics and supply chain technology business, on a major data transformation journey. Backed by significant investment from a data-driven CIO and CEO, the business is building a modern data platform (Snowflake) to unlock AI and scalable customer insights, but first, they need to get their data foundations right.

This is a high-impact, standalone role where you’ll take ownership of data quality across the organisation, tackling inconsistencies head-on and embedding quality into the core of how the business operates.

The SaaS platform supports global clients with supply chain visibility but today, data inconsistency means reporting is manual, bespoke, and difficult to scale.

As Data Quality & Governance Manager, you’ll:

• Lead the data quality agenda, identifying root causes and driving improvements across multiple data products
• Embed “quality by design” into data processes and pipelines
• Build and scale DQ monitoring, automation, and issue management frameworks
• Work hands-on with SQL to interrogate and improve data
• Collaborate with engineering and business teams to ensure data is consistent, trusted, and usable
• Own and evolve data governance elements including lineage, metadata, and classification
• Play a key role in tool selection (e.g. Purview, Collibra) and future data catalogue implementation

This is a role where you’ll shape the roadmap, not just follow one.

• Huge investment in data from the top down
• A genuine opportunity to build data quality capability in a modern platform environment
• Direct exposure to senior stakeholders and the data council
• A business preparing for AI adoption with DQ as the critical first step
• The chance to move from foundations into cataloguing, governance maturity, and scale

This is not a policy-writing role you need to be a blend of hands-on implementer and business facing.

You’ll be a strong fit if you:

• Have delivered data quality frameworks in modern data environments
• Are SQL capable and comfortable getting into the data to diagnose issues
• Have built or implemented DQ monitoring, automation, and controls
• Understand how to embed data quality into pipelines and processes
• Can operate independently — this is a standalone role
• Are confident engaging with both technical teams and senior stakeholders

Nice to Have

• Experience with tools like Purview or Collibra
• Exposure to Snowflake or similar cloud data platforms
• Familiarity with DAMA / DCAM / CDMP frameworks

If you’re someone who enjoys getting stuck into messy data, fixing root causes, and building scalable solutions, this is a rare opportunity to make a visible impact.

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