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- Tasks: Lead data operations and optimise performance across modern data platforms.
- Company: Join a forward-thinking organisation driving major data transformation.
- Benefits: Competitive salary, bonus, hybrid work model, and travel expenses covered.
- Other info: Enjoy a dynamic environment with opportunities for continuous improvement.
- Why this job: Shape the future of data operations while developing your leadership skills.
- Qualifications: Experience with data platforms, team leadership, and stakeholder management.
The predicted salary is between 65000 - 85000 £ per year.
Hybrid - two days per week onsite in Liverpool
£75k - £85k + bonus & benefits
Step into a newly defined data operations management position at the centre of a major data transformation. You’ll lead a small, capable team responsible for the reliability, performance, and observability of modern data platforms that power decisions across a complex, regulated organisation. This is a hands-on leadership role, part strategist, part problem-solver - shaping how data operations are delivered across a modern cloud environment (AWS and Azure). If you thrive on improving how data pipelines run, building resilient systems, and driving operational excellence, this is your chance to make a visible impact in a high-profile business.
What You’ll Do
- Lead data operations and second line support to ensure data pipelines, platforms, and integrations run reliably with full observability and proactive monitoring.
- Optimise performance across Snowflake and connected data platforms, driving continuous improvement and automation.
- Define and embed support models and operational standards for new data products and APIs.
- Guide a small, experienced team, fostering autonomy and technical excellence.
- Influence how the business delivers data operations - collaborating with data engineering, governance, quality, and IT to shape the future operating model.
What You’ll Bring
- Strong experience running and supporting data platforms or pipelines in production.
- Understanding of data flows, models, and warehousing principles - able to diagnose issues across systems without coding.
- Hands-on familiarity with platforms like Snowflake, Power BI, Alteryx, and modern observability tools.
- Working knowledge of AWS and/or Azure and how to run data workloads efficiently.
- A proven ability to lead a team and to manage and influence stakeholders across business and technology.
- Experience operating in a regulated or complex corporate environment.
Why This Role
- Play a key role in shaping a modern Data Operations function as part of a major transformation.
- Stay hands-on while developing leadership skills in a true DataOps environment.
- Enjoy a balanced hybrid model - two days per week in your local office (Liverpool or Glasgow) plus fully expensed travel between sites when needed.
- Join a forward-thinking organisation that values autonomy, technical credibility, and continuous improvement.
Apply Now - If your CV isn’t up to date, don’t worry - send what you have, and we’ll take it from there.
Group Data Operations Manager - Financial Services employer: Data Science Talent
Contact Detail:
Data Science Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Group Data Operations Manager - Financial Services
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend relevant meetups, and engage on platforms like LinkedIn. We can’t stress enough how personal connections can open doors that applications alone can’t.
✨Tip Number 2
Prepare for interviews by researching the company and its data operations. Understand their challenges and think about how your experience with platforms like Snowflake and AWS can help. We want you to shine and show them you’re the perfect fit!
✨Tip Number 3
Practice your pitch! Be ready to explain your experience in leading teams and optimising data pipelines. We believe that a confident presentation of your skills can make a huge difference in landing that job.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, if your CV needs a little TLC, just send what you have, and we’ll help you polish it up!
We think you need these skills to ace Group Data Operations Manager - Financial Services
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Group Data Operations Manager role. Highlight your experience with data platforms, AWS, Azure, and any leadership roles you've held. We want to see how you can make an impact!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data operations and how your background makes you the perfect fit for this role. We love seeing enthusiasm and a clear understanding of what we do.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills—give examples of how you've tackled challenges in data operations before. We’re looking for someone who can think on their feet and drive operational excellence, so share those success stories!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Data Science Talent
✨Know Your Data Platforms
Make sure you brush up on your knowledge of data platforms like Snowflake and Power BI. Be ready to discuss how you've optimised performance in the past and any specific challenges you've faced with data pipelines. This will show that you're not just familiar with the tools, but that you can leverage them effectively.
✨Demonstrate Leadership Skills
Since this role involves leading a team, think of examples where you've successfully guided others. Prepare to share how you've fostered autonomy and technical excellence within your team. Highlighting your leadership style and how it aligns with the company's values will make a strong impression.
✨Understand the Business Context
Research the company’s operations and how they use data to drive decisions. Be prepared to discuss how you can influence data operations and collaborate with other departments. Showing that you understand the bigger picture will demonstrate your strategic thinking and problem-solving abilities.
✨Prepare for Technical Questions
Expect some technical questions related to data flows, models, and warehousing principles. Brush up on your understanding of AWS and Azure as well. Being able to diagnose issues across systems without coding will be crucial, so practice articulating your thought process clearly.