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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: Shape the future of data architecture in a dynamic industry and make a real impact.
- Qualifications: Proven experience in data architecture, especially in the insurance sector.
- Other info: Collaborative environment with mentorship and career advancement opportunities.
The predicted salary is between 48000 - 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 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 London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data architecture projects, including any cool data models or architectures you've designed. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data architecture questions and scenarios. Practice explaining your thought process and how you tackle challenges, especially those related to data governance and compliance.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. Plus, it shows you're serious about the role and want to be part of our team.
We think you need these skills to ace Lead Data Architect in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the Lead Data Architect role. Highlight your experience with data architectures, data governance, and any relevant technologies. 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 architecture and how you can contribute to our team. Don’t forget to mention any specific projects or achievements that relate to the job description.
Showcase Your Collaboration Skills: Since this role involves working with various teams, make sure to highlight your collaboration experiences. Share examples of how you've worked 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’s the best way for us to receive your application and get you into our system quickly. Plus, we love seeing applications come in directly!
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 latest data architecture trends and technologies. Brush up on concepts like data warehousing, data lakes, and real-time processing. Being able to discuss these topics confidently will show that you’re not just familiar with the basics but are genuinely passionate about the field.
✨Showcase Your Collaboration Skills
Since the role involves working closely with business stakeholders and IT teams, prepare examples of how you've successfully collaborated in the past. Think about specific projects where your teamwork led to effective data solutions. This will demonstrate your ability to bridge the gap between technical and non-technical teams.
✨Prepare for Technical Questions
Expect to be asked about your experience with data models, schemas, and governance policies. Review your past projects and be ready to discuss the challenges you faced and how you overcame them. This will help you illustrate your problem-solving skills and technical expertise.
✨Stay Current and Curious
Keep yourself updated on industry trends and emerging technologies, especially those relevant to the insurance sector. Be prepared to discuss how you can apply this knowledge to the role. Showing a genuine interest in continuous learning will set you apart as a candidate who is eager to grow and adapt.
