Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead a team to ensure reliable data operations and optimise performance across modern platforms.
- Company: Dynamic financial services firm driving major data transformation.
- Benefits: Competitive salary, bonus, hybrid work model, and professional development opportunities.
- Why this job: Shape the future of data operations while developing your leadership skills in a hands-on role.
- Qualifications: Experience with data platforms, strong problem-solving skills, and team leadership abilities.
- Other info: Join a forward-thinking organisation that values autonomy and continuous improvement.
The predicted salary is between 64000 - 76000 £ per year.
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.
Locations
Data Operations Manager - Financial Services in City of London, London employer: Data Science Talent
Contact Detail:
Data Science Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Operations Manager - Financial Services in City of London, London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data operations. Think about how you’d tackle challenges in a hands-on leadership role and be ready to share your experiences.
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve optimised data pipelines or led a team, create a portfolio that highlights your achievements. This will give you an edge over other candidates.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we’re here to help you every step of the way, so don’t hesitate to reach out if you need assistance.
We think you need these skills to ace Data Operations Manager - Financial Services in City of London, London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Operations Manager role. Highlight your experience with data platforms, team leadership, and any relevant tools like Snowflake or AWS.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this position. Share specific examples of how you've improved data operations in the past and how you can bring that expertise to our team.
Showcase Your Problem-Solving Skills: In your application, don’t just list your skills; demonstrate how you've used them to solve real-world problems. We love candidates who can think critically and drive operational excellence.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Data Science Talent
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data platforms like Snowflake and the principles of data warehousing. Be ready to discuss how you've optimised data pipelines in the past and any specific challenges you've faced in a regulated environment.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and influencing stakeholders. Think about times when you fostered autonomy within your team or drove operational excellence, as these will resonate well with the interviewers.
✨Understand the Business Context
Research the company’s data transformation goals and how they align with their overall strategy. Being able to articulate how your role as a Data Operations Manager can contribute to these objectives will set you apart from other candidates.
✨Be Ready for Problem-Solving Scenarios
Expect to tackle hypothetical scenarios related to data operations during the interview. Practice articulating your thought process on diagnosing issues across systems and how you would approach optimising performance in a cloud environment.