Lead Data Architect

AXA UK; London; On-site; GBP 80,000 - 110,000; Full time

Job summary

A leading insurance provider is seeking a Lead Data Architect to enhance their data architecture capabilities. The successful candidate will collaborate with various teams to design scalable solutions, ensuring data integrity and compliance. This role is perfect for experts passionate about data and eager to impact business operations positively. Suitable for those with a strong background in data architecture within the insurance sector.

Qualifications

• Proven experience as a lead data architect, preferably in insurance.
• Ability to collaborate with technical and business teams effectively.
• Strong understanding and implementation of data governance best practices.

Responsibilities

• Design and implement scalable data architectures.
• Provide leadership and guidance to data teams.
• Collaborate with stakeholders to produce data-driven insights.

Skills

Data Architecture

Collaboration

Data Governance

Cloud Technologies

Data Quality Improvement

Education

Bachelor's Degree in Data Science, Computer Science, or relevant field

Tools

MS Azure

Job description

About us

At Munich Re Specialty – Global Markets (MRS-GM), it is our ambition to become the leading Primary Specialty Insurance provider, underpinnedby an effective and adaptablestrategy,superior products and industry leaders working in a supportive environmentto 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.

Please see our website for more information.

Lead Data Architect

We are currently looking for a Lead Data Architect, to be based in London on a full-time basis, reporting into the Data & Transformation Strategy Lead.

Company

Munich Re Specialty - Global Markets

Location

London , United Kingdom

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 preferrable 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!