Data & Analytics Architect Lead

About the role

MS Reinsurance, a global reinsurer domiciled in Switzerland, is looking for a Data & Analytics Architect Lead to shape enterprise-wide data architecture, data products and information flows, and represent the team across initiatives. Working with business, data, technology and architecture stakeholders, you will translate business needs into scalable, trusted and reusable solutions, define the target-state architecture and guide data product design while embedding architecture principles, governance and design standards.

Key responsibilities

• Define and maintain target-state data architecture, principles, standards and design patterns across domains, platforms and consumption workflows.
• Translate business priorities into architecture decisions on platforms, integration, storage, semantic models, lineage, quality, security and operations.
• Maintain the Data Product framework covering ownership, consumers, data contracts, quality, lineage, metadata, service expectations and lifecycle management.
• Support data product identification, definition and lifecycle management, promoting reusable, scalable and discoverable patterns.
• Map business processes, data creation, transformation, consumption and ownership, and design future-state flows and system interactions.
• Represent data architecture in strategic initiatives from inception to delivery, partnering with the Data Governance Lead on metadata, lineage, ownership, quality and governance.
• Lead architecture discussions and decisions, document outcomes for executive, business and technical audiences, and lead functional teams and set skills and priorities (acting as CoE).

Required profile

• Approximately 8 years of data architecture experience in a regulated environment, with strong documentation skills and a solid understanding of architecture governance and design quality.
• Approximately 8 years of reinsurance business and data knowledge.
• Approximately 8 years of experience in data engineering and business intelligence, with a strong understanding of the data delivery journey.
• Experience in business process modelling and information design, and in defining data products and data contracts.
• Strong stakeholder engagement and communication skills, and experience leading teams and managing priorities.
• Experience in agile or product-oriented environments, with a focus on practical delivery and continuous improvement.

Required skills

• Knowledge of Microsoft Fabric, Azure, Databricks or comparable modern cloud-based data platforms.
• Practical experience in data modelling, integration, data quality, lineage, metadata and governance.

Applicants must be eligible to work in Switzerland. Applications are made through the company's careers page.