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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.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Shape data management practices and make a real impact in a collaborative environment.
- Qualifications: Experience in data quality and governance with strong stakeholder engagement skills.
- Other info: Exciting opportunity for hands-on leaders to drive data excellence.
The predicted salary is between 43200 - 72000 £ per year.
We are 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 will 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 (Not Specified) in Kensington employer: Harrison Holgate
Contact Detail:
Harrison Holgate Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Quality Manager (Not Specified) in Kensington
✨Tip Number 1
Get to know the company culture before your interview. Check out their website and social media to see what they're all about. This will help you tailor your answers and show that you're genuinely interested in being part of their team.
✨Tip Number 2
Practice your responses to common interview questions, but keep it natural. We want you to sound confident and authentic, so don’t just memorise answers. Think about how your experience aligns with the role of Data Quality Manager and be ready to share specific examples.
✨Tip Number 3
Prepare some thoughtful questions to ask at the end of your interview. This shows that you’re engaged and serious about the position. Ask about their data governance strategies or how they measure data quality success – it’ll impress them!
✨Tip Number 4
Follow up after your interview with a thank-you email. It’s a simple gesture that can set you apart from other candidates. Reiterate your interest in the Data Quality Manager role and mention something specific from your conversation to make it personal.
We think you need these skills to ace Data Quality Manager (Not Specified) in Kensington
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Quality Manager role. Highlight your experience in data governance and quality, and don’t forget to showcase any relevant tools or methodologies you’ve used.
Read the Job Description Carefully: Before applying, give the job description a thorough read. We want to see that you understand the key responsibilities and requirements, so make sure your application reflects that understanding.
Showcase Your Stakeholder Engagement Skills: Since this role involves working closely with various stakeholders, highlight your experience in engaging and collaborating with different teams. Share examples of how you've translated complex data needs into actionable solutions.
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!
How to prepare for a job interview at Harrison Holgate
✨Know Your Data Inside Out
Before the interview, dive deep into data quality concepts and frameworks. Familiarise yourself with data profiling, quality metrics, and issue management. This will not only help you answer questions confidently but also demonstrate your expertise in the field.
✨Showcase Your Stakeholder Engagement Skills
Prepare examples of how you've successfully engaged with stakeholders in previous roles. Think about times when you translated complex data requirements into actionable solutions. This will highlight your ability to communicate effectively and work collaboratively.
✨Be Ready to Discuss Tools and Technologies
Brush up on your knowledge of data workflow tools and BI platforms like Qlik. Be prepared to discuss how you've used these tools in past projects to enhance data quality processes. This shows that you're not just familiar with the theory but have practical experience too.
✨Demonstrate a Proactive Approach
Think of instances where you've identified opportunities for automation or improvement in data quality processes. Share these examples during the interview to illustrate your proactive mindset and commitment to enhancing data governance within an organisation.