SCOR is seeking a senior Head of Life & Health (L&H) Data Foundation to lead the design and delivery of a robust, trusted, and business-aligned data foundation for the Life & Health domain. The mission is to ensure that Life & Health data is reliably sourced, clearly structured, and consistently represented in Analytical Data Models (ADMs) that reflect the reality of the business. The role operates at the intersection of business, data, and technology to enable reliable analytics, consistent KPIs, and scalable AI use cases.
Tasks
- Own the ADM and business ontology roadmap for the L&H domain, aligning with business priorities and the broader data strategy.
- Ensure that data is correctly sourced from upstream systems, with aligned definitions, structure, and ownership.
- Establish robust controls and validation mechanisms at ingestion and transformation stages to ensure data accuracy and completeness.
- Drive the design of Analytical Data Models that reflect L&H business processes (underwriting, claims, actuarial), not system structures.
- Ensure that ADMs provide a consistent and trusted representation of key business metrics and KPIs across the Life & Health domain.
- Ensure end-to-end consistency from source systems to ADM, including transformation logic, lineage, and reconciliation.
- Manage data quality across the full lifecycle, including root-cause analysis and remediation of upstream issues.
- Lead and coach cross-functional agile squads, driving a product-based delivery model with clear backlog prioritization and continuous value delivery.
- Act as the primary interface between business and data teams, ensuring strong validation, ownership, and alignment with business processes.
- Drive experimentation with AI and AI agents to improve efficiency in data sourcing, modeling, validation, and overall delivery processes.
Requirements
- +7 years of proven experience as a Data Product Owner, Data Product Manager, or Data Foundation Lead in a data-driven environment.
- Strong experience in end-to-end data flows, including sourcing, transformation, and data modeling.
- Expertise in data modeling concepts and building Analytical Data Models or similar structures.
- Proven ability to ensure data quality and correctness across data pipelines, including upstream dependencies.
- Strong understanding of business processes and how data supports performance measurement and decision-making.
- Prior experience in Life & Health insurance or reinsurance, and familiarity with key KPIs and financial metrics (such as premiums, claims, reserves, or profitability indicators), is a strong advantage.
- Actuarial background or experience working closely with actuarial teams is a strong advantage, particularly in relation to modeling and interpreting business metrics and KPIs.
- Experience working with modern data platforms (e.g., Databricks, Palantir Foundry or similar).
- Experience leading agile delivery in cross-functional teams.
- Strong communication and stakeholder management skills.
- Solid understanding of data governance principles and data management frameworks.
- Strong analytical and problem-solving skills, with a focus on root-cause analysis.
- Excellent organizational skills, systematic thinking, and objective-driven mindset.
- Strong dedication to quality and client orientation.
- Proficiency in English; French is a plus.
- Willingness to travel.
Benefits
SCOR supports inclusion and the diversity of talents, and all positions are open to people with disabilities.
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Das Team
Working at SCOR means engaging with actuaries, data scientists, underwriters, risk modelers, engineers, and other experts to find solutions to pressing challenges facing societies.