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- Tasks: Lead data quality operations and ensure the integrity of critical business information.
- Company: Dynamic organisation focused on data governance and quality management.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape how an organisation manages its data and make a real impact.
- Qualifications: Experience in data quality or governance and strong stakeholder engagement skills.
- Other info: Collaborative environment with a focus on accountability and transparency.
The predicted salary is between 36000 - 60000 £ per year.
We’re looking for a Data Quality Manager to play a key role in driving data governance and ensuring the integrity of critical business information. This is an exciting opportunity to lead data quality operations, engage with stakeholders across the business, and embed best‑practice processes in a collaborative, inclusive environment.
The Role
- You will be responsible for operationalising the Data Quality and Governance Framework, leading day‑to‑day data quality monitoring, issue management, and stewardship engagement.
- You’ll own the data quality rulesets, workflow systems, and performance reporting, helping the business make better decisions, meet regulatory requirements, and achieve a higher level of data maturity.
Key Responsibilities
- Lead the operation and continual enhancement of data quality workflow tools, including ruleset development and lifecycle management.
- Conduct data profiling, monitoring, and quality assessments for priority datasets.
- Manage the end‑to‑end data quality issue lifecycle, from identification to remediation and closure.
- Produce dashboards, KRIs/KPIs, and management information to support governance forums.
- Work closely with business stakeholders, Data Stewards, and Data Owners, providing guidance, training, and operational support.
- Collaborate with BI, Data Architecture, and IT teams to embed monitoring within data pipelines and ensure data completeness, consistency, and availability.
- Identify opportunities to automate and improve data quality processes, contributing to the long‑term operating model.
About You
- Experienced in data quality, data governance, or a related operational risk function.
- Strong understanding of data profiling, quality metrics, and issue management.
- Skilled in stakeholder engagement and able to translate complex requirements into practical, actionable solutions.
- Familiarity with data workflow tools, BI platforms (e.g., Qlik), and reporting frameworks.
- Collaborative, proactive, and committed to promoting a culture of accountability and transparency.
Location & Type
- Location: London/Hybrid
- Type: Permanent, Full‑time
This is a fantastic opportunity for a hands‑on leader to shape the way an organisation manages and governs its data.
Data Quality Manager employer: Harrison Holgate
Contact Detail:
Harrison Holgate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Manager
✨Tip Number 1
Network like a pro! Reach out to people in the data quality and governance space on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that perfect Data Quality Manager role!
✨Tip Number 2
Prepare for interviews by brushing up on your data profiling and quality metrics knowledge. Be ready to discuss how you've tackled data quality issues in the past. Show them you can translate complex data requirements into actionable solutions – that's what they want to see!
✨Tip Number 3
Don’t just apply anywhere; focus on companies that align with your values and expertise. Use our website to find roles that excite you, especially those that mention collaboration and stakeholder engagement. Tailor your approach to show how you can enhance their data governance framework.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way. Mention something specific from your conversation to remind them of your fit for the Data Quality Manager position. It shows you're genuinely interested and keeps you top of mind!
We think you need these skills to ace Data Quality Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Data Quality Manager role. Highlight your experience in data governance and quality metrics, and don’t forget to mention any relevant tools you’ve used. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you’re passionate about data quality and how you can contribute to our team. Be sure to mention specific examples of your past work that relate to the responsibilities outlined in the job description.
Showcase Your Stakeholder Engagement Skills: Since this role involves working closely with various stakeholders, make sure to highlight your experience in engaging and collaborating with others. Share examples of how you’ve successfully translated complex requirements into actionable solutions in previous roles.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Harrison Holgate
✨Know Your Data Quality Fundamentals
Brush up on your understanding of data quality, governance, and profiling. Be ready to discuss specific metrics and tools you've used in the past. This shows you’re not just familiar with the concepts but have practical experience that can benefit the company.
✨Engage Stakeholders Effectively
Prepare examples of how you've successfully engaged with stakeholders in previous roles. Think about how you translated complex data requirements into actionable solutions. This will demonstrate your ability to communicate effectively and work collaboratively.
✨Showcase Your Problem-Solving Skills
Be ready to discuss a time when you identified a data quality issue and how you managed it from start to finish. Highlight your approach to remediation and how you ensured closure. This will illustrate your hands-on experience and commitment to data integrity.
✨Familiarise Yourself with Relevant Tools
If you have experience with BI platforms like Qlik or data workflow tools, make sure to mention it. If not, do a bit of research on these tools and be prepared to discuss how you would leverage them in the role. This shows your proactive attitude towards learning and adapting.