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Metro location and broad delivery+AI skill requirements create moderate competition for mid-senior candidates.
Delivery and agile skills are transferable, but regulated-industry preference increases domain sensitivity.
Explicit 7+ years and multi-team delivery experience create strict hiring filters.
Own delivery performance and flow of value across 4-6 pods spanning Engineering, Quality, and Product.
Lead and communicate pod delivery health, risks, and outcomes to senior leadership while coaching pods on accountability and problem-solving.
Drive AI-augmented delivery improvements, capacity planning, risk management, and data-driven decision-making at sub-domain level.
7+ years in delivery/agile roles, with at least 3 years leading multiple teams/pods concurrently in technology.
Expertise in flow-based delivery methods (Kanban, lean, continuous delivery); not limited to Scrum.
Strong understanding and experience with AI tools applied to software delivery (coding assistants, automation, analytics).
Experience in capacity planning, demand forecasting, and organisational transformation/change management.
Experienced delivery leader skilled in flow efficiency and scaling agile across multiple technology teams or pods.
Data-driven problem solver with strong systems thinking to identify and address cross-team bottlenecks and systemic issues.
Practitioner of AI-augmented delivery methods, leveraging AI tools to accelerate delivery and improve decision-making.