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oracle

Head of Data Platform

SCOR
London, GBR
Director · 8+ years experience
Onsite
Discovered 3 days ago
databrickssparksql

Full Job Posting

Qualifications

  • Required experience & competencies
  • +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
  • Required Education:
  • BSc in computer or data science, software or computer engineering, applied math, physics, statistics, or a related field or equivalent experience
  • Technical Skills:
  • 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
  • Behavioral & Management Skills:
  • 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

Key duties and responsibilities

  • Under the responsibility of the Head of Data Platform, your mission will be to:
  • Platform Strategy & Ownership
  • 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
  • Platform Enablement & Adoption
  • 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
  • Governance, Security & Compliance
  • 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)
  • Cost Management & FinOps
  • 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
  • Excellence & Best Practices
  • Lead the definition of reference architectures, reusable patterns, and canonical datasets / data products
  • Establish platform observability, monitoring, and operational excellence practices
  • Leadership & Stakeholder Management
  • 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.

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