Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data governance and ensure high-quality data management across the UK business.
- Company: Dynamic insurance company focused on innovation and data excellence.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping data strategy and driving innovation in a key role.
- Qualifications: Experience in data management, especially in insurance or financial services.
- Other info: Join a collaborative team with a focus on continuous improvement and cutting-edge technologies.
The predicted salary is between 60000 - 84000 £ per year.
Reports To: Head of Strategy, Transformation and Data Governance
Location: London
MUST HAVE INSURANCE EXPERIENCE
Role Purpose
Data Management (DM) provides the framework that ensures data is reliable, well understood, secure, and trusted for operational, management, analytical, and customer-focused use. Data is a core business asset with both strategic and tactical importance and must be effectively governed and leveraged to deliver maximum value.
The Senior Data Manager will play a key role in ensuring the governance, quality, and effective use of data across the UK business. This role acts as a bridge between business and technology, ensuring that data structures, standards, and controls align with business needs while supporting innovation and new technologies.
Key Objectives of Data Management
- Understand and help define business information needs
- Ensure the creation, maintenance, and integrity of data assets, including logical data models
- Promote high-quality data and support the business in its use
- Ensure effective storage, usage, and governance of data
- Maintain coherence of the Microsoft data environment and structures with business requirements, including ownership of business definitions and rules within platforms such as Fabric and Purview
Role Overview
The Senior Data Manager will work as part of the UK data team to ensure robust data governance and effective data management practices. The role supports senior leadership, including the COO, in delivering the organisation’s data strategy and governance agenda.
Key focus areas include:
- Curating and maintaining the Data Body of Knowledge (BoK) and data glossary
- Ownership of metadata, master and reference data, and logical data models
- Acting as Data Design Authority and a key interface between business and IT
- Driving the Data Quality framework, certification processes, and issue resolution
- Enabling appropriate use of data domains and emerging technologies (e.g. Generative AI)
- Acting as the business point of contact for IT initiatives with a material data impact
Key Responsibilities
Data Design & Governance
- Act as Data Design Authority in defining data strategy and logical data models
- Apply and embed a robust data governance framework, ensuring adherence to certification and quality standards
- Maintain and evolve data domains to align with changing business needs
Data Quality & Integrity
- Drive continuous improvement of data quality through analysis, remediation planning, and root cause resolution
- Implement and own remediation plans covering lineage, mapping, and data issue resolution
- Work closely with IT to drive functional changes arising from data quality insights and reporting
Metadata, Definitions & Stewardship
- Proactively engage business teams in the curation and maintenance of business terms, definitions, formulas, and synonyms
- Own and maintain metadata, master data, and reference data frameworks
Security, Access & Compliance
- Collaborate with IT, Information Security, and control functions to define and implement appropriate data access rules and guardrails
- Ensure compliance with data management and data lake governance standards
- Enable effective and appropriate use of data domains and new technologies
- Act as a market and industry observer to identify new data sources, tools, and techniques that can enhance the organisation’s data estate
Experience & Skills
- Extensive experience working in complex data environments
- Strong knowledge of metadata management, master data, and reference data models
- Experience within the insurance or financial services sector
- Strong background in Data Quality Management, including DQ rule definition, analysis, and interpretation
- Hands-on experience with data quality tools and continuous improvement initiatives
- Experience leading or supporting data stewardship communities
- Strong problem-solving skills, including root cause analysis
Senior Data Manager employer: JSS Search
Contact Detail:
JSS Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Manager
✨Tip Number 1
Network like a pro! Reach out to people in the insurance and data management sectors on LinkedIn. Join relevant groups, attend webinars, and don’t be shy about asking for informational interviews. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Prepare for those interviews by brushing up on your data governance knowledge. Be ready to discuss how you’ve tackled data quality issues in the past. Use real examples that showcase your problem-solving skills and your ability to bridge the gap between business and IT.
✨Tip Number 3
Showcase your expertise! Create a portfolio or a presentation that highlights your experience with data management frameworks and tools. This can be a great conversation starter during interviews and will demonstrate your hands-on experience in the field.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Make sure your application stands out by tailoring it to the specific role and showcasing your relevant experience in data governance and quality management.
We think you need these skills to ace Senior Data Manager
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data Manager. Highlight your experience in data governance and quality management, especially within the insurance sector. We want to see how your skills align with our needs!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data management and how you can bridge the gap between business and technology. Let us know what makes you the perfect fit for our team.
Showcase Relevant Experience: When detailing your work history, focus on your achievements in data quality and governance. Share specific examples of how you've improved data processes or led initiatives that align with our objectives. We love seeing real impact!
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep everything organised and ensures your application gets the attention it deserves. We can't wait to hear from you!
How to prepare for a job interview at JSS Search
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data management principles, especially in the context of the insurance sector. Be prepared to discuss how you've ensured data quality and governance in previous roles, as this will show your understanding of the key responsibilities outlined in the job description.
✨Bridge the Gap Between Business and IT
Since this role acts as a bridge between business and technology, think of examples where you've successfully collaborated with both sides. Prepare to share specific instances where you’ve aligned data structures with business needs or supported innovation through effective data governance.
✨Showcase Your Problem-Solving Skills
Highlight your experience with data quality management and root cause analysis. Be ready to discuss challenges you've faced in maintaining data integrity and how you resolved them. This will demonstrate your hands-on experience and ability to drive continuous improvement.
✨Stay Updated on Emerging Technologies
Familiarise yourself with new data tools and techniques, especially those relevant to the insurance industry. Be prepared to discuss how you can leverage emerging technologies like Generative AI to enhance data management practices, showing that you're forward-thinking and innovative.
