At a Glance
- Tasks: Shape a new international data ecosystem and improve data governance practices.
- Company: Join an international organisation driving transformation in data management.
- Benefits: Competitive salary, 20% bonus, hybrid work model, and career development opportunities.
- Other info: Be part of a major transformation programme with excellent growth potential.
- Why this job: Make a real impact on data quality and governance across global markets.
- Qualifications: Experience in data management and strong communication skills.
The predicted salary is between 70000 - 90000 £ per year.
AI Connect are partnering with an international organisation to help them hire a Senior Data Management Specialist. You’ll play a key role in shaping a new international data ecosystem as multiple businesses align under a shared group-wide data strategy. This role sits at the centre of a major transformation programme focused on improving data quality, governance, standards, and ownership across multiple international markets. You’ll help ensure data is trusted, aligned, and structured consistently across the organisation.
What You’ll Do
- Help establish and improve practical data governance and data management practices across multiple international markets.
- Drive improvements in data quality, standards, ownership, and metadata, ensuring data can be trusted and reused across systems and reporting.
- Work closely with business and technology teams to identify where data processes, integrations, or flows break down and help improve them.
- Support the development of a shared business glossary and common data definitions to align terminology and reporting across the group.
- Influence stakeholders across the organisation, helping communicate the importance of strong data management and its impact on business performance.
- Embed data management principles into new initiatives and systems from the outset.
Key Skills
Senior Data Management Specialist in Edinburgh employer: AI Connect | Data & AI Delivery Partner
As a Senior Data Management Specialist at our Edinburgh location, you will join a forward-thinking international organisation that prioritises innovation and collaboration. We offer a dynamic work culture that fosters professional growth through continuous learning opportunities and a commitment to employee well-being, including a competitive salary and bonus structure. Our hybrid working model ensures flexibility, allowing you to balance your personal and professional life while contributing to a transformative data strategy that impacts multiple markets.
Contact Details:
AI Connect | Data & AI Delivery Partner Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Management Specialist in Edinburgh
✨Tip Number 1
Network like a pro! Reach out to professionals in the data management field on LinkedIn or at industry events. We can’t stress enough how important it is to make connections that could lead to job opportunities.
✨Tip Number 2
Prepare for interviews by researching the company’s data strategy and recent projects. We want you to show them you’re not just another candidate; you’re genuinely interested in their mission and how you can contribute.
✨Tip Number 3
Practice your storytelling skills! Be ready to share specific examples of how you’ve improved data quality or governance in past roles. We believe that showcasing your experience can really set you apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for talented individuals who can help us shape the future of data management.
We think you need these skills to ace Senior Data Management Specialist in Edinburgh
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Senior Data Management Specialist role. Highlight your experience with data governance and management practices, and don’t forget to showcase any relevant projects that demonstrate your skills in improving data quality and standards.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data management and how your background aligns with our mission at StudySmarter. Be sure to mention specific examples of how you've influenced stakeholders or improved data processes in the past.
Showcase Your Technical Skills:In this role, technical skills are key! Make sure to include any relevant tools or technologies you’ve worked with in data management. Whether it’s data integration tools or governance frameworks, we want to see what you bring to the table!
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at AI Connect | Data & AI Delivery Partner
✨Know Your Data Inside Out
Make sure you’re well-versed in data governance and management practices. Brush up on the latest trends in data quality and standards, as well as any relevant tools or technologies that are commonly used in the industry. This will show your potential employer that you’re not just familiar with the basics but are genuinely passionate about data.
✨Prepare Real-World Examples
Think of specific instances where you've successfully improved data processes or governance in previous roles. Be ready to discuss how you identified issues, implemented solutions, and the impact it had on the organisation. This will help demonstrate your hands-on experience and problem-solving skills.
✨Understand the Business Context
Research the company’s current data strategy and any recent initiatives they’ve undertaken. Understanding their business model and how data plays a role in their success will allow you to tailor your responses and show that you’re aligned with their goals.
✨Engage with Stakeholders
Be prepared to discuss how you would influence and communicate with various stakeholders about the importance of data management. Think about strategies you’ve used in the past to get buy-in from different teams and how you can apply those in this new role.
