At a Glance
- Tasks: Lead data governance and analytics initiatives to enhance customer outcomes.
- Company: Join a forward-thinking insurance enterprise focused on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Embrace creativity and innovation while driving impactful change.
- Why this job: Shape the future of data management in a dynamic and collaborative environment.
- Qualifications: 5+ years in data architecture with strong communication and collaboration skills.
The predicted salary is between 70000 - 90000 £ per year.
Responsibilities
- Help drive forward good Conduct for the business to deliver the best outcomes for customers / policyholders.
- Lead the implementation and digitalization agenda for MR Syndicate (MRSL) in a cross-functional team of architects from business and technology.
- Create the design of Munich Re´s pillars for Data Governance, Metadata Management, MDM, Data Quality, Data Warehousing, Sourcing and Staging of data, BI, Advanced Analytics and R&D in close alignment with business functions and enterprise Information management.
- Manage the Information Management framework, architecture, processes, and solutions.
- Be responsible for strategic roadmaps that describe the journey to target state for all Data & Analytics domains.
- Responsible for implementation of the data quality strategy.
- Review third parties’ high-level designs and implementations to ensure quality, coherence and consistency with MR Specialty and Enterprise Data architecture.
- Deliver standards and patterns, controls on how Munich RE would like to deploy services in a standard and repeatable way.
Knowledge and Skills
- University degree preferably in Computer engineering / IT or similar qualification.
- 5+ years of experience in hands‑on design, engineering, administration, and implementation of comprehensive systems and architectures in an insurance enterprise are preferred.
- Understanding and knowledge of system development life cycle methodologies (such as agile software development, rapid prototyping, incremental, synchronize and stabilize, and DevOps).
- Ability to estimate the financial impact of technology alternatives in terms of benefit and cost.
- Ability to quickly comprehend the functions and capabilities of existing, new and emerging technologies that enable and drive new business designs and models.
- Preferably, you are already ITIL or IBCS certified or have the readiness to pursue one with our support.
- Excellent collaboration and communications skills to deal with senior leaders, stakeholders and executives and to build and nurture business relationships.
- Flexibility and bringing a curious and creative mindset, open to new things and able to propose innovative ideas.
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!
Data and Analytics Architect employer: Munich Re
Munich Re is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Data and Analytics Architect role. With a strong commitment to employee growth, we offer extensive training opportunities and support for professional certifications, ensuring our team members thrive in their careers. Located in a dynamic environment, we prioritise good conduct and the best outcomes for our customers, making it a rewarding place to contribute to meaningful projects.
StudySmarter Expert Advice🤫
We think this is how you could land Data and Analytics Architect
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by researching the company and its culture. Understand their data governance strategies and be ready to discuss how your experience aligns with their goals. Show them you’re not just another candidate!
✨Tip Number 3
Practice your pitch! Be clear about your skills and how they relate to the role of Data and Analytics Architect. Highlight your hands-on experience and how you can contribute to their digitalization agenda.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive and take the initiative to reach out directly.
We think you need these skills to ace Data and Analytics Architect
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data and Analytics Architect role. Highlight your hands-on design and implementation experience, especially in insurance enterprises, to catch our eye!
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data governance and analytics. Share specific examples of how you've driven good conduct and delivered outcomes in previous roles – we love a good story!
Showcase Your Technical Skills:Don’t forget to mention your familiarity with system development life cycle methodologies and any relevant certifications like ITIL or IBCS. We want to see how you can bring your technical expertise to our team!
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 shows you’re keen on joining our team!
How to prepare for a job interview at Munich Re
✨Know Your Data Inside Out
Make sure you’re well-versed in data governance, metadata management, and data quality. Brush up on your knowledge of the specific tools and methodologies mentioned in the job description, like MDM and BI. This will show that you’re not just familiar with the concepts but can also apply them effectively.
✨Showcase Your Collaboration Skills
Since the role involves working with cross-functional teams, be prepared to discuss your past experiences in collaboration. Think of examples where you’ve successfully worked with both technical and non-technical stakeholders. Highlight how you’ve built relationships and communicated complex ideas clearly.
✨Demonstrate Your Strategic Thinking
Be ready to talk about how you’ve developed strategic roadmaps in previous roles. Discuss your approach to aligning data architecture with business goals and how you’ve managed to implement data quality strategies. This will illustrate your ability to think long-term and drive results.
✨Embrace Flexibility and Curiosity
The job calls for a curious mindset, so don’t shy away from discussing your willingness to learn and adapt. Share instances where you’ve embraced new technologies or methodologies, and how that has positively impacted your work. This will show that you’re not just a fit for the role, but also a forward-thinking candidate.
