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- Tasks: Lead data quality initiatives and collaborate with teams on a major data migration project.
- Company: Join a globally recognised, data-driven organisation in Manchester.
- Benefits: Competitive daily rate, hybrid work model, and immediate start.
- Other info: Opportunity for career growth and exposure to modern data platforms and AI tools.
- Why this job: Make a real impact on data transformation and governance in a collaborative environment.
- Qualifications: Experience in Data Management and strong analytical skills required.
This is a fantastic opportunity to join a highly collaborative, data-driven environment, working at the heart of governance, quality and compliance across a large-scale migration to a centralised data platform. This is an initial 6 month contract, with strong ownership from day one and a structured handover planned.
As a Data Manager, you'll play a key role in defining, improving and governing data quality across the business unit. You'll work closely with Product, Engineering and Data teams to ensure data is accurate, compliant and fit for purpose. This is a hands-on role with a strong mix of technical data work, stakeholder engagement and governance oversight.
What You'll Be Doing:
- Define and implement data quality standards, frameworks and controls
- Monitor and proactively identify data quality issues, driving root cause analysis and resolution
- Support data lifecycle management and data retention
- Work on data migration initiatives into a centralised platform
- Improve data workflows, lineage and governance processes
- Partner with Product Managers, Data Engineers and Analysts to ensure high-quality, trusted data
- Drive automation of data quality checks and reporting
What We're Looking For:
- Experience in Data Management, Data Governance or Data Quality
- Strong understanding of data quality frameworks and governance principles
- Experience working with data lifecycles, retention and compliance
- Ability to work closely with technical teams, comfortable discussing data models, ETL and workflows
- Strong stakeholder management, confident, proactive and able to own conversations
- Analytical mindset with experience investigating and resolving data issues
Tech & Tools:
- SQL and/or Python for data analysis
- Data visualisation tools (Power BI, Tableau)
- Exposure to modern data platforms (e.g. Snowflake)
- Interest in using AI tools (e.g. Gemini, Claude) to improve productivity and data quality processes
- Knowledge of governance tools is a plus
Nice to Have:
- Experience in Insurance or Financial Services environments
- Exposure to data quality tools or governance implementations
- Experience working on data migrations or centralisation programmes
Why Apply?
- Work on a high-impact data transformation programme
- Gain exposure to modern data platforms and AI-driven tooling
- Join a globally recognised, data-led organisation
- Immediate start with clear ownership and influence
Data Manager in Manchester employer: Morgan McKinley
Contact Detail:
Morgan McKinley Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Manager in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data management field, especially those who work in similar environments. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Prepare for interviews by brushing up on your technical skills. Make sure you can confidently discuss data quality frameworks and governance principles. We want you to shine when they ask about your experience with SQL or Python!
✨Tip Number 3
Showcase your analytical mindset! Be ready to share examples of how you've tackled data issues in the past. This will demonstrate your problem-solving skills and your ability to drive root cause analysis.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Manager in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Manager role. Highlight your experience in data management, governance, and quality. Use keywords from the job description to show we’re on the same page!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data and how your skills align with our needs. Don’t forget to mention any relevant projects or experiences that showcase your analytical mindset.
Showcase Your Technical Skills: We love seeing technical skills in action! If you’ve worked with SQL, Python, or data visualisation tools like Power BI or Tableau, make sure to highlight these in your application. It’ll help us see how you can contribute from day one.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Morgan McKinley
✨Know Your Data Inside Out
Before the interview, make sure you brush up on your knowledge of data management principles and frameworks. Be ready to discuss specific examples of how you've defined and implemented data quality standards in previous roles. This will show that you’re not just familiar with the concepts but have practical experience.
✨Showcase Your Technical Skills
Since this role involves a mix of technical work, be prepared to talk about your experience with SQL, Python, and any data visualisation tools like Power BI or Tableau. You might even want to bring along a portfolio of your work or examples of data projects you've completed to demonstrate your capabilities.
✨Engage with Stakeholders
Highlight your experience in stakeholder management during the interview. Prepare to share examples of how you've successfully collaborated with Product Managers, Data Engineers, and Analysts. This will illustrate your ability to communicate effectively and drive conversations around data quality and governance.
✨Prepare for Scenario Questions
Expect scenario-based questions where you’ll need to demonstrate your analytical mindset. Think about past data issues you've resolved and be ready to walk through your thought process, from identifying the problem to implementing a solution. This will showcase your problem-solving skills and your proactive approach to data management.