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- 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 in a fast-paced environment.
- Qualifications: Extensive experience in data management, especially in insurance or financial services.
- Other info: Join a collaborative team driving data innovation and quality.
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
Innovation & Enablement
- 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
- Proven expertise in data model management
- Strong background in Data Quality Management, including DQ rule definition, analysis, and interpretation
- Hands-on experience with data quality tools and continuous improvement initiatives
- Solid SQL skills
- Experience leading or supporting data stewardship communities
- Strong problem-solving skills, including root cause analysis
Senior Data Manager in City of 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 City of 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 sliding into DMs. 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. Make sure you can chat confidently about data quality frameworks and how they apply to real-world scenarios. We want to see you shine when discussing your experience with metadata management!
✨Tip Number 3
Showcase your skills through projects or case studies. If you’ve worked on data models or quality management initiatives, create a portfolio that highlights your achievements. This will give you an edge and demonstrate your hands-on experience in complex data environments.
✨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, we love seeing candidates who are proactive and engaged with our platform. Let’s get you that Senior Data Manager role!
We think you need these skills to ace Senior Data Manager in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Manager role. Highlight your insurance experience and any relevant data management skills. We want to see how your background aligns 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 governance and how you can contribute to our team. Keep it engaging and relevant to the job description.
Showcase Your Skills: Don’t just list your skills; demonstrate them! Include specific examples of how you've managed data quality or implemented governance frameworks in previous roles. We love seeing real-world applications!
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 the role. Plus, it’s super easy!
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 ready 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.
✨Showcase Your Technical Skills
Prepare to demonstrate your SQL skills and any experience with data quality tools. You might be asked to solve a problem or analyse a dataset during the interview, so practice articulating your thought process clearly while showcasing your technical expertise.
✨Bridge Business and IT
Since the role acts as a bridge between business and technology, think of examples where you've successfully collaborated with both sides. Highlight your experience in defining data strategies and logical data models that align with business needs, as this will resonate well with the interviewers.
✨Stay Updated on Industry Trends
Be prepared to discuss emerging technologies like Generative AI and how they can impact data management. Showing that you're proactive about industry trends will demonstrate your commitment to innovation and your ability to enhance the organisation's data estate.
