Head of Data Platform

About Us

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.

Responsibilities

Define and execute the enterprise data platform vision, architecture, and roadmap across Databricks and Palantir Foundry, aligned with SCOR’s business and AI strategy Own the end-to-end platform architecture, including ingestion, transformation, storage, analytics, and AI enablement layers Ensure the data platform scales in line with business growth, increased data volumes, and expanding AI use cases, while maintaining performance, resilience, and cost efficiency Lead the modernization and consolidation of legacy data systems into a unified, scalable platform ecosystem Build and lead a Data Platform Center of Excellence (CoE) to drive adoption, onboarding, and enablement Support business to empower self-service analytics and AI Act as a strategic partner to business and domain teams to prioritize, industrialize, and scale high-value use cases in line with platform capacity and business demand Establish and enforce enterprise-wide governance frameworks covering access control, and regulatory compliance Define and operate platform governance models Ensure alignment with regulatory requirements (e.g. data privacy, auditability, AI governance) Own platform cost management (FinOps) across data and AI workloads, ensuring transparency, accountability, and optimization Implement cost control mechanisms Drive a culture where cost efficiency is embedded into engineering and data usage practices Lead the definition of reference architectures, reusable patterns, and canonical datasets / data products Establish platform observability, monitoring, and operational excellence practices Lead and grow a high-performing global team (platform engineers, architects, governance, FinOps) Collaborate with executive stakeholders to align platform investments with business priorities. Act as the enterprise authority on data platforms, advising on strategy, innovation, and risk.

Qualifications

+8 years in platform management or architecture with management experience Proven experience leading enterprise data platforms at scale Strong experience with Databricks and/or Palantir Foundry (incl. governance, platform ops, and architecture) Experience in financial services, insurance, or other regulated industries is a strong plus BSc in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience Deep expertise in modern data platforms (Databricks Lakehouse, Palantir Foundry, cloud ecosystems) Strong knowledge of distributed data processing (Spark, PySpark, SQL) Expertise in data governance, metadata management, lineage, and data modeling Experience with AI/ML platforms and AI-driven architecture Proven ability to define, implement, and enforce enterprise-wide data platform standards, ensuring consistent engineering practices, data models, governance policies, and scalable usage across the organization Strong understanding of FinOps principles and cost optimization for data platforms Experience with CI/CD, DevOps, and infrastructure-as-code Familiarity with APIs, integration patterns, and data contracts Proven experience scaling data platforms in line with business growth, increasing data volumes, and expanding AI workloads, while continuously optimizing performance, cost efficiency, and resource utilization Strategic thinker with strong execution capability Entrepreneurial mindset and strong sense of ownership Ability to balance innovation (AI) with governance and risk management Excellent stakeholder management at executive level Strong leadership and people development capabilities Ability to drive cultural transformation toward data and AI adoption

Fähigkeiten

ML / AIArchitectICTSparkPySparkSQL

Gehaltsspanne

Auf Anfrage

Dieser Arbeitgeber nennt die Gehaltsspanne im ersten Gespräch.

Kontakt