Set the strategy, roadmap and operating model for Arch’s enterprise data platform. Lead the design, build and operation of a scalable, secure and resilient modern data platform. Drive modern engineering practices across DataOps, CI/CD, observability, service management, data quality and production support. Create AI-ready data foundations by ensuring data is governed, well modelled, permission-aware and suitable for advanced analytics and AI use cases. Develop platform capabilities that support AI workloads, including retrieval patterns, feature and vector stores, MLOps, model deployment, monitoring and cost control. Ensure the platform meets security, privacy, regulatory, data governance and responsible-AI expectations. Lead strategic data programmes and platform change, managing scope, cost, risk, quality, dependencies and stakeholder expectations. Partner with senior business, technology, architecture, governance and change stakeholders to prioritise outcomes that support business strategy. Define engineering, testing, integration, data management and continuous improvement standards across the platform. Manage consumption, budgets, business cases, suppliers, contracts and commercial performance. Build, coach and develop a high-performing data engineering and platform team.