Head of Data & AI Platform & Infrastructure

Scientific Games is the global leader in lottery games, sports betting and technology, and they are seeking a Head of Data & AI Platform & Infrastructure. The role involves architecting the Sovereign Platform to provide a seamless environment for Data Science and analytics while managing infrastructure and ensuring technical efficiency.

Responsibilities:

• Architect "Maturity-Grade" Data & AI environment specifically enabling:
• Ingestion Services: Partner with key technical stakeholders to define "Contract" between extraction/collection and platform ingestion
• Unified Medallion Lifecycle Management: Low-latency landing zone coupled with transformation pipelines for silver and gold layer data processing
• Semantic Layer Architecture: Design and maintain a semantic layer that standardizes business logic across the enterprise
• Self-Service Analytics Tooling: Deploy automated, self-service environments that empower downstream business users to create reports and analysis without engineering intervention
• MLOps Lifecycle: Automated pipelines for training, shadow deployment, and live production serving
• Inference Engines: Low-latency infrastructure for real-time model scoring in digital and retail environments
• FinOps & Strategic Cost Management: Act as the primary steward of the technology budget
• Cloud Economics: Implement rigorous tagging, monitoring, and automated scaling to manage Databricks/Cloud consumption and drive high ROI
• Technical Efficiency: Relentlessly pursue the goal of infrastructure savings through modernization
• Legacy Retirement & Technical Debt: Lead the "Sunset Program" for legacy analytics platforms
• Identify, migrate, and decommission redundant systems to simplify footprint and redirect maintenance spend toward innovation
• Ensure the Sovereign Platform integrates seamlessly with the diverse array of digital gaming, retail lottery, and supply chain systems
• Governance & Sovereignty: Ensure that every data asset is governed, discoverable, and secure
• Leadership: Recruit and mentor top class talents across ensuring high technical standards and a focus on commercial outcomes