OverviewSCOR is entering a decisive phase of Technology, Data and AI transformation. The Chief Enterprise Architect is accountable for the coherent, controlled and future-ready evolution of SCOR's enterprise technology landscape, enabling a simplified, data-centric and AI-powered operating model at Group scale. Reporting to the Chief Technology, Data & AI Officer, the role acts as a strategic peer and close partner to Engineering leaders of Business Units, and Group Functions & Core Platforms, as well as Data, Analytics & AI leaders.As a leading global reinsurer, SCOR offers its clients a diversified and innovative range of reinsurance and insurance solutions and services to control and manage risk. Applying "The Art & Science of Risk," SCOR uses its industry-recognized expertise and cutting-edge financial solutions to serve its clients and contribute to the welfare and resilience of society in around 160 countries worldwide.Working at SCOR means engaging with some of the best minds in the industry - actuaries, data scientists, underwriters, risk modelers, engineers, and many others - as we work together to find solutions to pressing challenges facing societies.As an international company, our common culture is defined by "The SCOR Way." Serving both to build momentum that drives the Group forward and as a compass to guide our actions and choices, The SCOR Way is anchored by five core values, reflecting the input of employees at all levels of the Group. We care about clients, people, and societies. We perform with integrity. We act with courage. We encourage open minds. And we thrive through collaboration.SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.The Chief Enterprise Architect translates SCOR's Technology, Data & AI Strategy into a clear, enforceable and governable enterprise architecture, balancing mission-critical legacy platforms, core systems and modern digital, data and AI-native capabilities. At the same time, he/she is preserving robustness, regulatory compliance, operational resilience and long-term optionality.The Chief Enterprise Architect leads a team of domain and transversal architects who execute the enterprise vision across business areas and platforms. This team translates the Group architecture blueprint into domain-level evolution roadmaps, ensuring coherence and consistency at scale.This is a top-tier strategic technology leadership role, combining transformative ambition with deep engineering credibility, strong executive influence, and a pragmatic understanding of complex, regulated environments.Key Responsibilities
1. Enterprise Architecture Leadership & Partnership
Drive the architectural transformation of the landscape aligned with SCOR's strategic priorities.
Act as a peer and trusted advisor to BU/Group Engineering Leads and Data & AI Chiefs, shaping architectural choices in support of business outcomes.
Ensure tight alignment between engineering roadmaps, data & AI platforms, and enterprise architecture principles.
Influence senior stakeholders across Technology, Finance, Risk and Operations with clear architectural direction and trade-off analysis.
Provide a clear, multi-year enterprise architecture roadmap.
Internal. Access limited to SCOR users, authorized trusted partners and clients.
2. Modernize and Simplify the Core Landscape
Lead pragmatic modernization of SCOR's critical core platforms, including its integral pricing, administration and sub-ledger backbone.
Leverage state-of-the-art agentic frameworks as an accelerator of legacy and core platform modernization.
Use agent-based orchestration to simplify integration, reduce structural complexity and rationalize legacy dependencies.
Explore and institutionalize new architecture patterns enabled by AI agents.
Balance modernization ambition with operational resilience, evolving the landscape in a structured, risk-aware manner.
Position SCOR as an intelligent adopter of next-generation enterprise architecture approaches.
3. AI-Enabled & Data-Centric Enterprise Architecture
Seamlessly integrate the IT landscape with a unified enterprise "single version of truth," embedding Data & AI platforms across both structured and unstructured data domains.
Evolve core IT systems into modern, AI-powered workbenches built on this shared data foundation, enabling augmented workflows, intelligent decision-making and automation across core value chains.
Promote agent-based architectures to orchestrate processes and reduce structural complexity across the landscape.
Establish consistent enterprise data models across underwriting, risk and finance, ensuring interoperability and semantic alignment.
Strengthen governance, lineage, transparency and regulatory robustness, including architectural support for reporting (incl. IFRS17) and broader regulatory requirements.
4. Governance, Authority & Architectural Standards
Chair and lead key Architecture and Technology, Data & AI governance forums.
Hold decision rights to approve, arbitrate or block major architectural evolutions and platform choices impacting the Group landscape.
Ensure all significant architectural changes are deliberately designed, formally governed and clearly communicated.
Define and enforce enterprise-wide architecture principles, standards, reference models and guardrails.
Drive convergence, simplification and reuse across Business Units and Core, enabling coherence while allowing disciplined flexibility where justified by business value.
Required experience & competencies
15+ years in senior technology and enterprise architecture roles with ownership of complex, enterprise-wide scope.
Proven leadership of large-scale modernization programs in regulated financial services environments; reinsurance highly valued.
Demonstrated integration of Data & AI platforms into mission-critical landscapes.
Strongly preferred: Experience with Azure cloud architectures, SAP, Databricks, Palantir or comparable enterprise data/AI platforms.
Experience operating within formal governance frameworks with architectural decision authority.
Architectural & Technical Capability
Mastery of enterprise architecture across business, application, data and technology domains.
Strong experience modernizing legacy core systems using pragmatic, risk-aware approaches.
Fluency in cloud-aligned, API-driven and event-based architectures, including AI-native and agent-based patterns.
Ability to design consistent enterprise data models and a "single version of truth" (domain-driven / data mesh data architectures).
Balanced approach to innovation, resilience, security and regulatory compliance.
Leadership & Personal Profile
Engineering-rooted credibility with strong executive influence.
Systems thinker able to zoom out strategically and dive deep technically.
Bridge-builder across legacy and AI-native worlds, and across Technology, Data and AI domains.
Pragmatic transformation leader with a track record of reducing structural complexity at scale.
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