At a Glance
- Tasks: Lead a team to optimise data operations and ensure reliable data pipelines.
- Company: Forward-thinking financial services organisation embracing data transformation.
- Benefits: Competitive salary, bonus, hybrid work model, and travel expenses covered.
- Other info: Dynamic role in a regulated 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 75000 - 85000 £ 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.
Data Operations Manager - Financial Services in Liverpool employer: Data Science Talent
Join a forward-thinking organisation that prioritises employee growth and development, offering a balanced hybrid work model with two days in the Liverpool office. As a Data Operations Manager, you'll be at the forefront of a major data transformation, leading a capable team while enjoying a culture that values autonomy, technical excellence, and continuous improvement. With competitive compensation and a focus on operational excellence, this role provides a unique opportunity to make a significant impact in a complex, regulated environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Operations Manager - Financial Services in Liverpool
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We think you need these skills to ace Data Operations Manager - Financial Services in Liverpool
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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