· Own the architecture and operational roadmap for an assigned platform portfolio, prioritising reliability, security, data quality, scalability, technical debt, modernisation, and product dependencies.
· Deliver and operate production-grade foundations across pipelines, integrations, data platforms, governance controls, or shared agent services, with monitoring, support, change control, and lifecycle management.
· Set and enforce technical standards for data modelling, ETL or ELT, APIs, testing, deployment, observability, lineage, access, retention, auditability, resilience, and production support, as relevant to the assigned portfolio.
· Provide architecture assurance and engineering oversight to internal teams and delivery partners, reviewing designs, implementation quality, non-functional requirements, testing evidence, security, and production readiness.
· Enable Compliance Risk Analytics and AI product teams by translating risk analytics data, integration, security, and infrastructure needs into scalable platform capabilities.
· Lead enterprise technical relationships with Technology, Privacy, source-system owners, and delivery partners to resolve dependencies, secure approvals, and coordinate complex operational change.
· Improve reuse, automation, and cost efficiency by standardising patterns, reducing manual support, simplifying the estate, and strengthening engineering and governance capability through documentation, coaching, and knowledge transfer.