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- Tasks: Lead data governance initiatives and ensure data quality across the organisation.
- Company: Join a growing digital transformation team at Amtis.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Hands-on role with ownership and collaboration with key stakeholders.
- Why this job: Make a real impact by shaping data governance practices and driving trust in data.
- Qualifications: Experience in data governance and strong analytical skills required.
The predicted salary is between 60000 - 70000 £ per year.
Amtis is proud to be recruiting for a Data Governance Manager to join a growing digital transformation team, where you'll play a key role in shaping and embedding data governance practices across the organisation. This is a hands-on opportunity with real ownership, working closely with stakeholders to improve data quality, define standards, and drive trust in data.
The role:
- You'll take responsibility for delivering data governance and quality initiatives across multiple data sources, ensuring data is accurate, consistent, and fit for purpose.
Key responsibilities include:
- Supporting the implementation and evolution of data governance frameworks and standards
- Working with stakeholders to define data ownership, definitions, and quality KPIs
- Analysing data lineage and identifying root causes of data issues
- Leading remediation activity to improve data quality and integrity
- Conducting data profiling to assess and assure data quality
- Defining and enforcing policies around data usage, storage, and access
Data Governance Manager employer: Amtis Professional
Contact Detail:
Amtis Professional Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance Manager
✨Tip Number 1
Network like a pro! Reach out to professionals in the data governance field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream job.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of data governance frameworks and standards. We recommend practising common interview questions and scenarios related to data quality and stakeholder management.
✨Tip Number 3
Showcase your hands-on experience! Be ready to discuss specific projects where you’ve improved data quality or defined KPIs. We want to see your real-world impact, so bring those examples to the table.
✨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 Governance Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Governance Manager role. Highlight your experience with data governance frameworks and any relevant projects you've worked on. 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 explain why you're passionate about data governance and how you can contribute to our team. Be sure to mention specific examples of how you've improved data quality in the past.
Showcase Your Stakeholder Engagement Skills: Since this role involves working closely with stakeholders, make sure to highlight your communication and collaboration skills. Share examples of how you've successfully engaged with different teams to drive data initiatives.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Amtis Professional
✨Know Your Data Governance Frameworks
Before the interview, brush up on various data governance frameworks and standards. Be ready to discuss how you've implemented or evolved these in past roles. This shows you’re not just familiar with the concepts but can also apply them effectively.
✨Prepare Real-World Examples
Think of specific instances where you've improved data quality or resolved data issues. Use the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you demonstrate your hands-on experience and problem-solving skills.
✨Engage with Stakeholders
Since the role involves working closely with stakeholders, be prepared to talk about how you’ve collaborated with different teams in the past. Highlight your communication skills and how you’ve defined data ownership and quality KPIs together with others.
✨Show Your Analytical Skills
Data lineage and root cause analysis are key parts of this role. Be ready to discuss your approach to analysing data issues and how you’ve led remediation activities. This will showcase your analytical mindset and ability to drive trust in data.