Data Quality and Governance Manager

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About the role:

This role is designed for someone who thrives in dynamic environments, can balance technical details with a business-focused approach, and wants to shape how data is trusted and used across the organization.

Responsibilities

• Lead Data Governance Strategy: Develop and execute the overall data governance and quality strategy, aligned with business needs and global standards.
• Data Warehouse Architecture & Pipelines: Work closely with data engineering teams to ensure data is structured, optimized, reliable, trusted and understandable:
• Master Data Management (MDM): Define and implement MDM processes to standardize key domains like customer, vendor, product, and location data across the organization.
• Data Profiling and Quality: Lead efforts in data profiling to identify quality gaps and design data quality rules to improve data across the organization.
• Collaborate with Data Engineers: Work closely with data engineers to embed data quality checks and data validation rules directly into the data pipeline to ensure high-quality data is available for analysis and reporting.
• Data Classification and Access Governance: Implement data classification models and access controls to protect sensitive and critical data assets, ensuring compliance with legal and regulatory requirements.
• Data Lineage and Documentation: Define and maintain data lineage to provide transparency into data flows and transformations across systems and departments.
• Critical Data Element (CDE) Management: Define and manage CDEs and establish governance processes around them to prioritize data quality.
• Data Migration Support: Ensure data migrations (e.g., from legacy systems are carried out with full attention to data quality, security, and governance.
• Governance Tools: Implement and manage data governance tools and platforms (e.g., Purview, OneLake, other) and ensure the integration of these tools within the broader data architecture.

Requirements

• 5+ years of experience in data governance, data quality management, or MDM in a data-driven organization.
• Strong expertise in data warehouse architecture and experience with cloud-based data platforms, particularly Snowflake and Microsoft Azure.
• Proven experience designing and managing data pipelines in modern cloud environments and ensuring integration of data governance principles (e.g., validation rules, profiling, lineage) into them.
• Hands-on experience with data migrations, ensuring data integrity, security, and quality during platform transitions (e.g., from on-prem systems to Snowflake/Azure).
• Deep knowledge of data quality techniques, including data profiling, validation rules, and data remediation processes.
• Familiarity with data classification, metadata management, and data access governance to secure sensitive data.
• CDMP (Certified Data Management Professional) or DCAM (Data Management Capability Assessment Model) certification is a bonus
• Strong collaboration skills — experience working with data engineers, business stakeholders, and data stewards to implement and enforce governance practices.

Required:

• 5+ years of experience in data governance, data quality, MDM, or enterprise data management roles.
• Strong quantitative degree e.g. CompSci, statistics, economics etc,
• Hands-on experience with cloud-based data platforms like Snowflake & Microsoft Azure.
• Expertise in data profiling, data migration, and working with data pipelines in cloud environments.
• CDMP (Certified Data Management Professional) or DCAM (Data Management Capability Assessment Model) qualification.

Preferred:

• Familiarity with data governance tools such as Collibra, Alation, Atlan, or similar platforms – but with a preference for lightweight ‘guerilla’ solutions
• Experience in data classification models and data lineage tracking in large-scale data environments.
• Industry experience in sectors like logistics, retail, or manufacturing.
• Familiarity with agile data governance principles and the ability to iterate and scale governance frameworks within fast-moving environments.

Salary- £60-70KGross/a DOE

Role is hybrid- 3 days min WFO in Leeds

Direct hire full time employee opportunity (B2B contract is not available).

We offer an attractive referral scheme for placements we make (Terms & Conditions apply). so if you know anyone in your network who might be suitable or is looking for a specific role, please refer them to me.

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