Lead Data Architect

Munich Re; Greater London; On-site; GBP 80,000 - 100,000; Full time

Job summary

A leading insurance firm is seeking a Lead Data Architect to design and implement scalable data architectures that meet business goals. Key responsibilities include collaborating with stakeholders, leading data governance, and integrating new technologies. The ideal candidate will have experience in the insurance sector and strong communication skills to effectively engage with both technical and non-technical teams. This role is critical in driving data strategy and improving data quality across the organization.

Qualifications

• Proven experience as a lead data architect with insurance sector experience.
• Experience in future state data architectures aligned with business needs.
• Ability to communicate strategies across technical and non-technical audiences.

Responsibilities

• Collaborate with business stakeholders to understand needs.
• Design scalable data architectures for data warehousing and lakes.
• Lead evaluation and integration of new data tools.

Skills

Data architecture

Leadership

Collaboration with stakeholders

Data governance

Cloud technologies (MS Azure)

Machine Learning awareness

Job description

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!