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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, particularly 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 48000 - 72000 £ 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 in London employer: JSS Search
Contact Detail:
JSS Search Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Manager in London
✨Tip Number 1
Network like a pro! Reach out to folks 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
Show off your skills! Create a portfolio that highlights your data management projects, especially those related to governance and quality. Use real examples to demonstrate how you’ve tackled challenges in previous roles. This will make you stand out when chatting with potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data governance frameworks and tools like Microsoft Fabric and Purview. Be ready to discuss how you can apply these in a practical setting. We want to see your passion for data management shine through!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team. Let’s get you that Senior Data Manager role!
We think you need these skills to ace Senior Data Manager in London
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: Don't forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter family!
How to prepare for a job interview at JSS Search
✨Know Your Data Inside Out
Make sure you have a solid understanding of data management principles, especially in the context of insurance. Brush up on your knowledge of metadata management, data quality frameworks, and how they apply to business needs. Being able to discuss specific examples from your experience will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Bridge the Gap Between Business and IT
Since this role acts as a bridge between business and technology, prepare to discuss how you've successfully collaborated with both sides in the past. Think of examples where you’ve aligned data strategies with business objectives or driven IT initiatives based on data insights. This will demonstrate your ability to communicate effectively across departments.
✨Showcase Your Problem-Solving Skills
Be ready to share specific instances where you've tackled data quality issues or implemented remediation plans. Highlight your analytical skills and how you approach root cause analysis. This is crucial for the role, so having concrete examples will help you stand out.
✨Stay Updated on Emerging Technologies
Familiarise yourself with the latest trends in data management, especially around new technologies like Generative AI. Be prepared to discuss how these innovations can enhance data governance and quality. Showing that you’re proactive about industry developments will reflect your commitment to continuous improvement.
