At a Glance
- Tasks: Lead data management initiatives and improve data quality across the organisation.
- Company: Join a forward-thinking company focused on data excellence and compliance.
- Benefits: Generous pension, performance bonuses, share schemes, and 30 days holiday.
- Other info: Hybrid working model with opportunities for personal and professional growth.
- Why this job: Make a real impact on data governance and support better decision-making.
- Qualifications: 5+ years in data management with strong analytical and collaboration skills.
The predicted salary is between 67023 - 74470 £ per year.
This role involves a key responsibility in advancing how data is handled, governed, and applied across the Group. You will work alongside data management colleagues to maintain alignment with Group standards and assist in following internal data policies and external regulatory frameworks, including BCBS239, which is critical for this role. You’ll play a role in improving data quality and governance through data analysis, producing clear reports, and seeing opportunities to improve how data is captured, managed, and applied to aid better decision making. This involves facilitating full data lineage, supporting data quality improvements, and helping establish consistent processes and controls that support internal and external compliance. As a member of the Risk Data Excellence team, you will serve as a reliable contact for data-related matters. You will offer mentorship, constructive feedback, and clear communication to various collaborators. Additionally, you will assist with compliance tasks and promote simplification and efficiency in processes. This ensures data supports accurate reports to the Board and regulators and delivers better results for customers and the business.
What we’re looking for:
- At least 5 years’ experience in data management, data governance or a related field
- Solid background in managing data quality, understanding data lineage, and analysing data, with the capability to transform insights into actionable enhancements
- Confident collaborator management skills, with the ability to clearly explain complex data concepts to both technical and non-technical audiences
- A solutions-focused approach with strong attention to detail and the ability to manage priorities and work independently
- Knowledge of risk and control frameworks and the confidence to provide effective challenge on data, systems and process changes
- Any experience of these would be great: experience working with regulatory frameworks such as BCBS239; familiarity with data governance tools such as Collibra or Ataccama; experience using Power BI or other reporting/visualisation tools; understanding of large, complex organisational environments (e.g. financial services)
Benefits:
- A generous pension contribution of up to 15%
- An annual performance-related bonus
- Share schemes including free shares
- Benefits you can adapt to your lifestyle, such as discounted shopping
- 30 days’ holiday, with bank holidays on top
- A range of wellbeing initiatives and generous parental leave policies
Data Management Manager employer: Lloyds Bank plc
As a Data Management Manager at our company, you will thrive in a dynamic and supportive work environment that prioritises employee growth and well-being. With a generous pension contribution, performance-related bonuses, and a flexible hybrid working pattern, we empower our team members to excel while maintaining a healthy work-life balance. Our commitment to professional development and a culture of collaboration ensures that you will have the resources and mentorship needed to advance your career in the heart of Leeds, Edinburgh, or Halifax.
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We think this is how you could land Data Management Manager
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We think you need these skills to ace Data Management Manager
Some tips for your application 🫡
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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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
