Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data governance initiatives and ensure data quality across our Snowflake platform.
- Company: Established analytics firm in Scotland with a focus on innovation.
- Benefits: Hybrid working model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data governance and collaborate with cutting-edge AI/ML teams.
- Qualifications: Proven experience in data governance and hands-on expertise with Snowflake and dbt.
- Other info: Join a dynamic team and make a significant impact in the analytics space.
The predicted salary is between 60000 - 80000 £ per year.
An established analytics firm in Scotland is seeking an experienced data governance leader to establish robust governance across its data platform, primarily focusing on Snowflake. The role involves designing and operationalizing governance frameworks, embedding data quality measures, and collaborating closely with AI/ML teams to ensure data readiness for advanced use cases.
Candidates must have proven experience in data governance and hands-on experience with Snowflake and dbt. This position offers hybrid working arrangements, requiring in-office presence at least two days per week.
Data Governance Leader: Snowflake & AI-Ready Platform employer: Wood Mackenzie
Contact Detail:
Wood Mackenzie Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Governance Leader: Snowflake & AI-Ready Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work with Snowflake or data governance. A friendly chat can lead to opportunities you might not find on job boards.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data governance and Snowflake. This will give you an edge during interviews and show that you mean business.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by rehearsing common questions related to data governance and AI readiness. We can help you with mock interviews to boost your confidence.
✨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 Leader: Snowflake & AI-Ready Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data governance and your hands-on work with Snowflake and dbt. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
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. We love seeing candidates who can connect their experience to our mission.
Showcase Collaboration Skills: Since this role involves working closely with AI/ML teams, make sure to highlight any collaborative projects you've been part of. We value teamwork, so let us know how you’ve successfully worked with others to achieve common goals.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Wood Mackenzie
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss how you've used it in past projects, especially in relation to data governance. Highlight specific examples where you designed or operationalised governance frameworks.
✨Showcase Your Collaboration Skills
Since this role involves working closely with AI/ML teams, prepare to talk about your experience collaborating across departments. Think of instances where you’ve successfully partnered with technical teams to ensure data quality and readiness for advanced use cases.
✨Demonstrate Your Data Quality Measures
Be prepared to explain how you've embedded data quality measures in previous roles. Discuss the strategies you implemented and the impact they had on the overall data governance framework. This will show your practical understanding of the role's requirements.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's current data governance challenges and their vision for the future. This not only shows your interest but also helps you gauge if the company aligns with your career goals.