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For Companies At a Glance
- Tasks: Lead the design and implementation of innovative data architectures that drive business success.
- Company: Join a forward-thinking insurance company focused on data-driven solutions.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact by shaping the future of data architecture in the insurance industry.
- Qualifications: Proven experience in data architecture, especially in the insurance sector.
- Other info: Collaborative environment with a focus on mentorship and continuous learning.
The predicted salary is between 43200 - 72000 £ per year.
Responsibilities
- Collaborate with business stakeholders, data scientists, analysts, and IT teams end to end to understand business needs and translate them into effective data architecture solutions.
- Design and implement scalable and efficient data architectures that support business goals, including data warehousing, data lakes, and real-time data processing.
- Lead the evaluation, selection, and integration of new data technologies and tools to optimise data management processes.
- Support the development of data products through robust architecture, data governance policies, ensuring data quality, integrity, security, and compliance with relevant regulations (GDPR).
- Lead a team to develop and maintain data models, schemas, and data dictionaries to facilitate consistent and accurate data interpretation.
- Lead the development of data migration strategies to consolidate and centralise data from various sources into a single platform for MRSG.
- Drive the adoption of best practices in data architecture, data management, and data lifecycle management.
- Provide leadership, mentorship, and guidance to the Data Office, Architects, and Data Governance.
- Collaborate with cross-functional teams to develop data-driven insights, dashboards, and reports that support business operations and decision-making.
- Stay current with industry trends, emerging technologies, and best practices in data architecture, analytics, and insurance industry developments.
Knowledge and Skills
- Proven experience as a lead data architect - substantial Insurance and London Market experience would be a significant advantage.
- Development and maintenance of Future State Data Architectures, aligned with business needs and technological considerations.
- Supporting business and IT projects from a data perspective, ensuring that these help to build towards the overall Future Data Architecture and will not suffer from data problems.
- Gathering data requirements in collaboration with Business Analysts and collation of these to inform the future direction of data capabilities.
- Co-development – with IT colleagues – solution designs that meet business requirements and are accretive to the overall data landscape.
- Creating and maintaining data models of various sorts (conceptual to physical) and, in particular, ones that span organisations consisting of different businesses.
- Work in support of Analytics colleagues (such as Data Scientists), including awareness of areas such as Machine Learning, Natural Language Processing, etc.
- Conceptual and Logical design of the Data & Analytics Platform; together with experience of data repository consolidation and end user computing.
- Supporting Data Governance colleagues in areas such as metadata management, data lineage, data audits and general data quality improvement.
- Experience of implementing Master Data Management approaches and tooling.
- Selection of external systems/services with a data component – in collaboration with IT. Cloud-based technologies preferable MS Azure.
- Strong desire to learn and grow into a wider range of the above disciplines.
- Ability to effectively communicate, present and articulate strategies across various audiences especially with non-technical business functions.
- Willingness to deep dive into specialty insurance business processes.
If you are excited about this role but your experience does not align perfectly with everything outlined, or you don’t meet every requirement, we encourage you to apply anyway. You might just be the candidate we are looking for!
Lead Data Architect in City of London employer: Münchener Rückversicherungs-Gesellschaft
Contact Detail:
Münchener Rückversicherungs-Gesellschaft Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Architect in City of London
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who works in data architecture. Building relationships can open doors to opportunities that aren’t even advertised.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your past projects or case studies that highlight your experience with data architectures. This will give potential employers a clear picture of what you bring to the table.
✨Ace the Interview
Prepare for those interviews by brushing up on common questions related to data architecture and the insurance industry. Practice articulating your thought process when solving problems, as this will demonstrate your expertise and leadership skills.
✨Apply Through Our Website
If you see a role that excites you, don’t hesitate to apply through our website! We love seeing passionate candidates who are eager to contribute to our team. Remember, even if you don’t tick every box, we want to hear from you!
We think you need these skills to ace Lead Data Architect in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Lead Data Architect. Highlight your experience with data architecture, especially in the insurance sector, and showcase any relevant projects that 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 architecture and how your skills can help us at StudySmarter. Don’t forget to mention any specific technologies or methodologies you’ve worked with.
Showcase Your Collaboration Skills: Since this role involves working with various teams, make sure to highlight your collaborative experiences. Share examples of how you've successfully partnered with business stakeholders, data scientists, and IT teams to achieve common goals.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Münchener Rückversicherungs-Gesellschaft
✨Know Your Data Architecture Inside Out
Make sure you’re well-versed in the principles of data architecture, especially as they relate to the insurance industry. Brush up on your knowledge of data warehousing, data lakes, and real-time processing. Be ready to discuss how you've implemented these in past roles.
✨Showcase Your Collaboration Skills
This role involves working closely with various stakeholders. Prepare examples of how you've successfully collaborated with business analysts, data scientists, and IT teams. Highlight your ability to translate complex data needs into actionable solutions.
✨Demonstrate Leadership and Mentorship
As a lead data architect, you'll be guiding a team. Think of specific instances where you've provided mentorship or leadership. Discuss how you’ve driven best practices in data management and architecture within your previous teams.
✨Stay Current with Industry Trends
Familiarise yourself with the latest trends in data architecture and analytics, particularly in the insurance sector. Be prepared to discuss emerging technologies and how they can optimise data management processes. Showing that you’re proactive about learning will impress your interviewers.
