At Munich Re Specialty - Global Markets (MRS-GM), it is our ambition to become the leading Primary Specialty Insurance provider, supported by an effective and adaptable strategy, superior products, and industry leaders working in a supportive environment to achieve this.
At the heart of our success is a strong culture where people are encouraged to be present, bold, and curious, allowing them to achieve their individual goals.
We are currently seeking a Data Analytics Architect based in Manchester on a full-time basis, reporting to the Head of Subsection for Data and Analytics.
Responsibilities:
- Lead the design and implementation of scalable data architecture supporting analytics and digitalization for MR Syndicate (MRSL) within a cross-functional team of architects from business and technology.
- Develop and maintain data models (logical and physical) to support business needs, ensuring data integrity and efficiency.
- Design and govern data architecture and integration standards across Azure Data Factory and Databricks to enable integrated analytics solutions.
- Support 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 outlining the journey to the target state for all Data & Analytics domains.
- Review third-party high-level designs and implementations to ensure quality, coherence, and consistency with MR Specialty and Enterprise Data architecture.
- Deliver standards, patterns, and controls for deploying services in a standard and repeatable manner.
Knowledge and Skills:
- University degree preferably in Computer Engineering, IT, or a related field.
- 5+ years of hands-on experience in design, engineering, administration, and implementation of systems and architectures in an insurance enterprise.
- Understanding of insurance domain concepts with hands-on data modeling experience.
- Experience with Azure Data Factory and Databricks, including designing data pipelines for secure data solutions.
- Industry certifications in Azure, Databricks, or data architecture are advantageous.
- Knowledge of system development methodologies such as Agile, DevOps, etc.
- Ability to estimate the financial impact of technology solutions.
- Ability to quickly understand new and emerging technologies.
- Preferably ITIL or IBCS certified or willing to pursue certification.
- Excellent communication skills for engaging with senior stakeholders and building relationships.
- Flexible, curious, and innovative mindset.
If your experience doesn't perfectly match every requirement, we encourage you to apply - you might be the candidate we're looking for!
At Munich Re, we value Diversity, Equity, and Inclusion, fostering an innovative and resilient environment. We are committed to building a diverse workforce and an equitable, inclusive workplace where everyone can succeed.
Candidates can request reasonable adjustments during the recruitment process by contacting their Talent Acquisition representative.
Our Commitment to Sustainability and Wellbeing:
Our ESG strategy focuses on environmental, social, and governance topics, supporting community initiatives and offering volunteering opportunities.
- Critical illness insurance, Life Assurance, and Permanent Health Insurance
- Wellbeing and Development Scheme, EAP, Health Assessments
- Electric Vehicle Salary Sacrifice Scheme
- Support for professional development and continuing education