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Entain

Global sports betting and online gaming

Portfolio Lead

Program ManagementConfirmed live in the last 24 hours
Full-timeVienna, Austria

About the Job

Requirements

  • At least 7 years in delivery or agile roles, including at least 3 years operating across multiple teams simultaneously in a technology environment.
  • Expertise in flow-based delivery approaches, including Kanban, lean, and continuous delivery, beyond Scrum alone.
  • Experience enabling multiple teams or pods simultaneously at scale.
  • Strong understanding of AI tooling and its application to software delivery, including coding assistants, automation, and intelligent analytics.
  • Experience in capacity planning, demand forecasting, and resource optimization across multiple teams.
  • Ability to use data to solve complex problems and interpret and communicate complex data sets clearly.
  • Previous experience with organizational transformation and change management.
  • Good knowledge of Objectives and Key Results strategy.
  • Ability to use AI tooling, experiment, and iterate with AI as a collaborator.
  • Ability to own outcomes, self-direct, and demonstrate accountability.
  • Ability to identify patterns across pods and address underlying causes through systems thinking.
  • Ability to build working relationships across pods and with leadership.
  • Ability to improve performance through data and experimentation.
  • Ability to work across functions beyond one's primary discipline.
  • Ability to connect work to customer needs and outcomes.
  • Ability to develop pods, individuals, and oneself.

Responsibilities

  • Own delivery performance across a sub-domain of 4–6 engineering, quality, and product pods, and lead value flow from idea to production so pods deliver with pace, predictability, and outcome awareness.
  • Lead and communicate delivery health, risks, and performance to leadership.
  • Ensure pods operate as self-organizing units that deliver value outcomes.
  • Coach pod leads through facilitation and conflict resolution.
  • Ensure cross-pod agreement on priorities, dependencies, and shared goals.
  • Facilitate communication and collaboration between pods to promote knowledge sharing.
  • Use root-cause analysis, systems thinking, and structured techniques to analyze problems and guide resolution.
  • Act as an escalation point for cross-pod blockers and systemic impediments.
  • Identify patterns across pods that indicate organizational or process issues.
  • Champion adoption of AI agents across pods, including coding agents, test generation, story creation, board health, and deployment automation.
  • Identify opportunities for AI to reduce toil, accelerate delivery, and improve decision-making.
  • Apply AI to improve delivery effectiveness through workflow insights, risk prediction, and reporting automation.
  • Track and demonstrate AI's impact on delivery performance.
  • Monitor and improve delivery flow, including lead time, cycle time, work in progress, and throughput, using Kanban and lean principles.
  • Ensure work-in-progress limits are respected and surface aging items through board walks.
  • Identify bottlenecks, aging work, and sources of delay across pods; improve performance through regular assessment and experimentation.
  • Help teams break work into deliverable, value-driven increments.
  • Support and evolve the agile operating model for a pod-based environment focused on pace rather than ceremony.
  • Adapt delivery approaches, including Kanban, flow-based, and lean methods, to each pod's needs.
  • Ensure consistency of practice across pods without being prescriptive.
  • Promote outcome-driven delivery rather than output-driven activity.
  • Guide teams to operate with autonomy and accountability.
  • Define and maintain delivery metrics, including cycle time, flow efficiency, initiative lead time, PDLC compression, dependency reduction, rework rate, team satisfaction, and AI effectiveness.
  • Build dashboards, including cumulative flow diagrams, throughput charts, and work-in-progress aging views, to provide leadership visibility and support informed decisions.
  • Analyze performance data to identify trends, patterns, and areas for improvement.
  • Use data to facilitate conversations and coach pods rather than merely track output.
  • Partner with engineering and product leadership at the sub-domain level.
  • Represent delivery health and risks in leadership forums.
  • Build trusted relationships that enable fast decision-making.
  • Communicate delivery performance to technical and non-technical audiences.
  • Understand the sub-domain's commercial context and connect delivery decisions to revenue, cost, and customer impact.
  • Support prioritization trade-offs with a business perspective.
  • Forecast capacity across pods based on team composition, skills mix, and upcoming demand.
  • Identify resourcing gaps and support hiring and allocation decisions.
  • Balance workload across pods to prevent burnout and underutilization.
  • Support realistic planning by ensuring pods understand available capacity.
  • Manage risks through regular assessment and execution of controls.
  • Ensure cross-pod dependencies are visible, tracked, and managed.
  • Track dependency cost, including blocked time and affected items, and lead mitigations such as contract-first development and feature flags.
  • Support issue escalations and ensure intervention through the dependency escalation protocol.
  • Provide hands-on coaching at pod level.
  • Build capability in workflow management, flow thinking, estimation, planning, and data-led decision-making.
  • Help teams understand and improve their own performance.
  • Strengthen a culture of continuous improvement and learning.
  • Align delivery with outcomes and value.
  • Help teams understand why work is being done and how outputs contribute to value.
  • Challenge work that does not link to outcomes.
  • Support measurement of delivery against Objectives and Key Results and value indicators.
  • Contribute actively to the Centre of Excellence.
  • Share best practices, delivery insights, and improvement opportunities from pods.
  • Support adoption of standards, playbooks, and tools.
  • Help evolve delivery practices based on experience.

Desired Qualifications

  • Experience in a regulated industry, such as gaming, fintech, or a similar sector.

About the Company

Entain

Global sports betting and online gaming

Entain plc is a global sports betting and online gaming company with brands such as bwin, Coral, Ladbrokes, PartyPoker and Sportingbet. It operates online and retail betting and gaming, earning revenue from sports betting, online casino games, and B2B technology services via a proprietary technology platform. It differentiates itself through a large multi-brand portfolio, strong presence in regulated markets, and a BetMGM joint venture that expands its North American reach. Its goal is to grow further in regulated markets worldwide while maintaining responsible gaming and leveraging its technology and brand mix to offer a broad, compliant gaming experience.

Company size
10,001+
Company stage
IPO
Headquarters
London, United Kingdom
Founded
2004

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