Finance Data Architect

This is not a traditional technical modeling role. We are looking for a professional who understands how Finance and Actuarial processes operate within a reinsurance company and can translate that understanding into a scalable governed and business-aligned data architecture and data models.

You will work at the intersection of Finance Actuarial Data and Technology teams to define the future-state Finance data model and establish the semantic foundation that supports enterprise-wide decision making.

Key duties and responsibilities

Your mission will be to:

• Design and own the enterprise Finance data architecture and data model supporting Reserving Closing Performance Management Investments Treasury and Financial Reporting.

• Define and evolve conceptual logical data models within SCORs Data Foundation.

• Establish common business definitions semantics and canonical data structures across Finance Actuarial Risk and Corporate functions.

• Lead the design of the Finance Analytical Data Model ensuring consistency traceability reconciliation capability and alignment across source systems and business processes.

• Work closely with Finance Actuarial and Business stakeholders to translate complex reinsurance and finance requirements into scalable and reusable data structures.

• Ensure appropriate handling of granularity historical tracking time dimensions accounting perspectives and regulatory requirements.

• Drive alignment between operational data analytical data products reporting requirements and AI-enabled use cases.

• Define standards and best practices for Finance data architecture information modeling metadata management and data governance.

• Support enterprise initiatives related to IFRS 17 Solvency II Technical Closing Reserving Planning Forecasting and Performance analytics.

• Partner with Data Engineers Solution Architects and Domain Leads to ensure consistent implementation of target-state data models across the Finance ecosystem.

Required experience & competencies

• 5 years of experience in Data Architecture Information Architecture Enterprise Data Modeling or related disciplines.

• Strong experience within the insurance or reinsurance industry.

• Deep understanding of Finance and Actuarial data domains including several of the following: IFRS 17 Solvency II Technical Closing Reserving Financial Planning & Analysis Performance Management General Ledger Accounting structures Reinsurance contracts and treaty data

• Proven experience designing enterprise-scale conceptual and logical data models used across multiple business functions.

• Experience defining canonical data models business semantics and data standards.

• Strong understanding of Finance data lineage reconciliation controls and data quality requirements.

• Ability to engage effectively with senior Finance Actuarial and Technology stakeholders.

• Excellent communication skills with the ability to bridge business and technical domains.

Required Education

• Degree in computer or data science software or computer engineering applied math physics statistics or a related field or equivalent experience