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Head of L&H Data FoundationSCOR • Zürich, Zürich, Switzerland
Head of L&H Data Foundation

Head of L&H Data Foundation

SCOR • Zürich, Zürich, Switzerland
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Stellenbeschreibung

Description

Data is at the core of SCORs strategic plan Forward 2026 as one of its key enablers. The Chief Data Officer organization plays a central role in delivering a governed trusted data platform acting as a Single Version of Truth across the organization.

As Head of L&H Data Foundation you are accountable for the end-to-end data foundation for the Life & Health domain ensuring that data is correctly sourced validated transformed and modeled into robust Analytical Data Models.

Your primary responsibility is to ensure that data accurately reflects the business reality from underwriting to claims and actuarial processes and that this consistency is maintained across the full data lifecycle. This includes ensuring that data supports the consistent calculation and interpretation of key business metrics such as premiums claims reserves and performance indicators.

You lead agile cross-functional squads driving a product-based delivery approach focused on continuous value delivery. You act as the key interface between business analytics and engineering teams ensuring that data solutions are both technically sound and business relevant.

While contributing to governance and platform evolution your core focus is to ensure that the foundations are built correctly to enable scalable analytics and AI use cases with ADMs serving as the trusted representation of the business.



Responsibilities

  • 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

  • Ensure data quality is managed 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



Qualifications

  • 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




Required Experience:

Director


Employment Type : Contract
Experience: years
Vacancy: 1

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Head of L&H Data Foundation • Zürich, Zürich, Switzerland

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