Portfolio Lead

There's nothing like a career at Entain. We're a leading, global sports betting and gaming company and we're upping the excitement and increasing player safety. We're a FTSE company with iconic brands including Ladbrokes, Coral, BetMGM, Eurobet and bwin, and we have an energy that drives us to perform at the height of our potential. Whether you're an engineer, marketer or retail specialist, a career here is a complete game changer.

The Portfolio Lead is accountable for delivery performance across a sub-domain of 4-6 pods (Engineering, Quality, Product). They lead the flow of value from idea to production, ensuring pods deliver with pace, predictability and understanding to outcomes. They combine hands-on delivery leadership with AI-augmented ways of working and data-driven decision-making. They do not prescribe a single framework - instead they adapt approaches that best serve each pod's context. They partner with Engineering and Product leadership to reduce waste, improve throughput and help pods achieve Autonomy, Accountability and Agreement to value outcomes.

Pod Performance & Accountability You are responsible for pod delivery performance across the sub-domain. You will lead and communicate delivery health, risks and performance to leadership Ensure pods operate as, self-organising units delivering value outcomes Support pod leads with coaching, facilitation and conflict resolution Ensure cross-pod agreement on priorities, dependencies and shared goals Facilitate communication and collaboration between pods to promote knowledge sharing Problem Solving You will be an expert; deploy root cause analysis, systems thinking and structured techniques to analyse and guide out resolutions. Be an escalation point for cross-pod blockers and systemic impediments Identify patterns across pods that indicate deeper organisational or process issues AI-Augmented Delivery Champion AI agent adoption across pods - including coding agents, test generation, story creation, board health and deployment automation Identify opportunities where AI can reduce toil, accelerate delivery or improve decision-making Apply AI to improve delivery effectiveness, including workflow insights, risk prediction, and automation of reporting Track and demonstrate the impact of AI on delivery performance Flow & Efficiency Monitor and improve delivery flow (lead time, cycle time, WIP, throughput) using Kanban and lean principles Ensure WIP limits are respected and surface ageing items through Board Walks Identify bottlenecks, ageing work and sources of delay across pods. Improve through regular assessment and experimentation. Support teams in breaking down work into deliverable, value-driven increments Agile Ways of Working Support and evolve the agile operating model for a pod-based environment focused on pace, not ceremony. Adapt delivery approaches (Kanban, flow-based, lean) appropriate to each pod's needs Ensure consistency of practice across pods without being prescriptive Promote outcome-driven delivery vs output-driven activity Guide teams to operate with autonomy and accountability Metrics & Reporting Define and maintain delivery metrics: cycle time, flow efficiency, lead time of initiative, PDLC compression, dependency reduction, rework rate, team satisfaction, and AI effectiveness Build dashboards (cumulative flow diagrams, throughput charts, WIP ageing) that provide leadership visibility and lead informed decision-making Analyse performance data to identify trends, patterns and areas for improvement Use data to facilitate conversations and coach pods — not just track output Stakeholder Management Partner with Engineering and Product leadership at sub-domain level Represent delivery health and risks in leadership forums Build trusted relationships that allow fast decision-making