Referential Service Lead

At SCOR, we combine the Art and Science of risk to help build more resilient societies. Technology is a vital resource and partner in every step of our journey. We are seeking innovators to join our dynamic tech team of over 200 professionals across three global hubs. Guided by our corporate values-Collaboration, Courage, Care, Open-Mindedness, and Integrity-our teams develop technology that insures the world. Join us and make a difference!

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.

SCOR is seeking a Referential Service Lead to lead the strategy, governance, delivery, and continuous improvement of SRDS (SCOR Reference Data Service) application and other enterprise referential applications.

The role owns the Referential Service capability end to end, ensuring that key reference data domains, golden sources, data quality rules, lifecycle management, and integration patterns are consistently defined, governed, and operated across consuming applications.

As SCOR strengthens its data foundation and modernizes business applications, this leader will ensure that referential data is governed, reliable, reusable, auditable, and fit for purpose across domains, tools, and processes.

The position acts as the primary technology partner for business and data stakeholders on referential data needs, ensuring alignment with enterprise architecture, data governance, security, integration standards, and product delivery practices.

The Head of Referential Service will coordinate multidisciplinary contributors across product, engineering, architecture, data governance, operations, and business domains to deliver trusted referential services and drive adoption across SCOR.

Beyond service ownership and delivery coordination, the role is expected to provide strong engineering leadership, challenge technical decisions, promote modern software engineering practices, and ensure that referential platforms are scalable, secure, maintainable, observable, and resilient by design.

Referential Service Strategy and Ownership

• Define and maintain the strategy, roadmap, and operating model for the Referential Service, including SRDS and other referential applications.
• Own the service vision for enterprise reference data, ensuring consistency, reuse, scalability, operational reliability, and measurable business value.
• Prioritize service backlog items, MVP scope, enhancements, run activities, and technical debt remediation in collaboration with business and IT stakeholders.
• Ensure referential applications support critical domains such as Life & Heath, P&C, Finance and others.

Business Engagement and Data Governance

• Act as the main point of contact for business stakeholders requiring new or improved referential data capabilities.
• Translate business needs into clear functional requirements, data models, governance rules, and delivery priorities.
• Promote ownership, stewardship, data quality controls, approval workflows, auditability, and lifecycle management for reference data.
• Challenge fragmented local referentials and drive convergence toward trusted enterprise sources.

Engineering Leadership and Technical Excellence in collaboration with de Domain Lead

• Lead engineering practices across referential applications, ensuring robust solution design, maintainable code, scalable integration patterns, and reliable production operations.
• Challenge technical decisions and contribute hands-on to architecture reviews, API design, data model definition, troubleshooting, and complex delivery topics when required.
• Promote software engineering best practices, including code quality, testing strategy, CI/CD, DevSecOps, observability, documentation, and technical debt management.
• Ensure non-functional requirements such as performance, security, resilience, auditability, maintainability, and supportability are properly addressed from design to production.

Service Delivery and Integration Leadership

• Lead end-to-end delivery of SRDS features, referential service enhancements, and operational improvements from discovery to production adoption.
• Coordinate solution design across data modeling, APIs, user interfaces, workflows, permissions, audit trails, and operational support.
• Ensure smooth integration with consuming applications, data platforms, analytics products, and enterprise services.
• Drive release planning, user acceptance testing, change management, documentation, service onboarding, and run support readiness.
• Remain hands-on when needed by actively contributing to analysis, solution design, backlog refinement, testing, troubleshooting, and delivery activities.

Technology Modernization and Innovation

• Evaluate alternative solutions leveraging:

• AI Workbench capabilities

• Agentic AI platforms

• Data Foundation services

• Analytics and Data productsDomain-owned workflow and orchestration capabilities

• Drive innovation initiatives designed to improve productivity and operational efficiency.

• Ensure new solutions are aligned with enterprise architecture principles and strategic technology standards.

Leadership and Delivery Management

• Lead and develop developpers and specialists located across multiple delivery centers.
• Establish objectives, priorities, performance expectations, and development plans.
• Drive delivery excellence across support, maintenance, enhancement, and transformation initiatives.
• Foster strong collaboration across business, engineering, architecture, AI, and data organizations.

Governance and Risk Management

• Define and monitor KPIs related to automation value realization, efficiency gains, platform usage, and portfolio health.

• Ensure compliance with security, operational resilience, architecture, and regulatory requirements.

• Contribute to IT strategy, investment decisions, and technology governance forums.

• 8+ years of experience in enterprise technology, data management, master/reference data, application delivery, or digital transformation domains.

• Proven experience delivering referential, master data, or data governance solutions.

• Strong experience with software engineering practices, data modeling, APIs, application integration, cloud or enterprise data platforms, workflow-enabled governance, and product delivery practices.

• Demonstrated experience coordinating multidisciplinary teams, vendors, business stakeholders, data owners, and technology

• Strong track record in application modernization, data quality improvement, referential convergence, and enterprise data transformation programs.

• Experience working with business stakeholders and cross-functional leadership teams.

• Data governance, stewardship, quality controls, and lifecycle management

• Data modeling, APIs, application integration, and enterprise data platforms

• Agile product delivery, backlog management, MVP definition, and release planning

• Software engineering practices, including CI/CD, DevSecOps, automated testing, code quality, observability, documentation, and technical debt management

• Enterprise architecture principles, security, auditability, and operational resilience