National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Governance Manager

Leeds
1 week ago
Create job alert

Are you passionate about building trust in data and shaping how it's governed across a global organisation? I'm looking for a Data Quality & Governance Manager to join the newly formed Data Team of a global business that's building a cutting-edge, AI-ready data platform from the ground up.

This is a brand-new role with real influence - perfect for someone who thrives in fast-paced, forward-thinking environments and wants to make a lasting impact on how data is managed, secured, and used across the business.

Based in their modern Leeds office, you'll spend 4 days a week on-site, working closely with the rest of the Data Team and wider business stakeholders.

🌐 About the Platform:

The company is investing in a modern data stack that includes:

Snowflake for cloud data warehousing
Microsoft Azure for infrastructure and orchestration
Purview (and similar tools) for data governance and cataloguing🧩 What You'll Do:

Lead the development and implementation of data quality, governance, and master data management (MDM) frameworks
Define and enforce standards for data classification, lineage, and metadata management
Collaborate with Data Engineers to ensure robust data pipelines and warehouse architecture
Evaluate and implement data governance tools (e.g. Microsoft Purview) and integrate them into the broader data ecosystem
Act as a key stakeholder in shaping how data is trusted, accessed, and used across the organisationāœ… What We're Looking For:

Proven experience in enterprise data governance, data quality, or data managementroles
Knowledge of Snowflake, Azure, and modern data platforms
Strong understanding of data profiling, data migration, and pipeline integration
Familiarity with data classification models, lineage tracking, and metadata frameworks
Excellent communication skills and the ability to influence stakeholders at all levelsNice to have:

Experience implementing governance tools like Microsoft Purview
Knowledge of regulatory compliance frameworks (e.g. GDPR, ISO 27001)
Background in data architecture or engineeringšŸŽ What's in It for You:

Salary from £50,000 to £70,000depending on experience
Discretionary bonus
4% employer pension contribution
25 days holiday(plus bank holidays), increasing with service
Holiday purchase scheme
Electric/hybrid car schemePlease Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank is the UK's leading recruiter for Data and AI roles. We proudly sponsor SQLBits and the London Power BI User Group. For a confidential discussion about this role or your job search, contact

Related Jobs

View all jobs

Data Governance Manager

Information Governance Manager

Data Governance Manager - Analytics - London

Data Governance Manager

Data Governance Manager

Data Governance

National AI Awards 2025

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.