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Portfolio Lead

Office
Market range (est.) $90k–$180k
◆ 8/10 bettingigamingOtheroffice
About this role

Join Entain as a Portfolio Lead to oversee delivery performance across multiple pods in a dynamic technology environment, leveraging AI and agile methodologies to drive value outcomes.

Description

There's nothing like a career at Entain India. We're the technology powerhouse helping Entain – a world leader in sports and gaming – create products and experiences used by millions of customers across the globe. Whether you're an engineer, product owner or customer care professional, unlock a world of new possibilities – for you and the future of sports and gaming.

Responsibilities

Pod Performance & Accountability

  • You are responsible for pod delivery performance across the sub-domain.
  • 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

  • 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.
  • Communicate delivery performance to both technical and non-technical audiences.

Commercial Awareness

  • Understand the commercial context of the sub-domain.
  • Connect delivery decisions to revenue, cost, and customer impact.
  • Support prioritisation trade-offs with a business lens.

Capacity Planning

  • Forecast capacity across pods based on team composition, skills mix and upcoming demand.
  • Identify resourcing gaps and support hiring/allocation decisions.
  • Balance workload across pods to prevent burnout and underutilisation.
  • Support realistic planning by ensuring pods have clear understanding of available capacity.

Risk & Dependency Management

  • Manage risks through regular assessment and execution of controls.
  • Ensure cross-pod dependencies are visible, tracked and managed.
  • Track dependency cost (time blocked, items affected) and lead mitigations such as contract-first development and feature flags.
  • Support issue escalations, ensuring intervention by the dependency escalation protocol.

Coach & Capability Development

  • Provide hands-on coaching at pod level.
  • Build capability in workflow management, flow thinking, estimation, planning, and data-led decision-making.
  • Support teams in understanding and improving their own performance.
  • Strengthen a culture of continuous improvement and learning.

Outcome & Value Focus

  • Align delivery to always ensure outcomes and value.
  • Help teams understand the why behind their work and how their outputs contribute to value.
  • Challenge work that does not link to outcomes.
  • Support measurement of delivery against OKRs and value indicators.

Centre of Excellence (CoE) Contribution

  • Be an active contributor to the CoE.
  • Share best practices, delivery insights and improvement opportunities from pods.
  • Support adoption of standards, playbooks and tools.
  • Help evolve delivery practices based on experience.
Requirements

Specialist Experience

  • 7+ years in delivery/agile roles, with at least 3 years operating across multiple teams simultaneously in a technology environment.
  • Expert in flow-based delivery approaches (Kanban, lean, continuous delivery) — not limited to Scrum.
  • Experience enabling multiple teams/pods simultaneously at scale.
  • Strong understanding of AI tooling and its application to software delivery (coding assistants, automation, intelligent analytics).
  • Experienced in capacity planning, demand forecasting and resource optimisation across multiple teams.
  • Use data to solve complex problems; can interpret and communicate complex data sets clearly.
  • Previous experience of organisational transformation and change management.
  • Good knowledge of Objectives and Key Results (OKR) strategy.
  • Experience in a regulated industry (gaming, fintech, or similar) desirable.

Competencies & Behaviours

  • Versatile, curious, and able to operate with autonomy in a high-trust environment.
  • Uses AI tooling; experiments; iterates with AI as a collaborator.
  • Owns outcomes, not just tasks; directs itself.
  • Sees patterns across pods and addresses causes, not symptoms.
  • Builds working relationships across pods and leadership.
  • Raises the bar through data and experimentation.
  • Comfortable operating beyond their primary discipline.
  • Connects their work to customer and outcomes.
  • Invests in developing pods, individuals and self.
Conditions & Benefits

Benefits

  • Safe home pickup and home drop.
  • A regular bonus and great pension.
  • 24 days annual leave.
  • Extra paid leave, including wellbeing and development days.
  • Life assurance and Income Protection.
  • Private healthcare and wellbeing support.
  • INR 3,000 per month Communication allowance.
  • Up to INR 16,000 per year in Crèche expenses (children under 3).
  • Equal Opportunities. If you need any reasonable adjustments at any stage of the recruitment process, please contact us and we'll support you.
  • We're committed to creating a diverse, equitable and inclusive workplace where everyone feels valued, respected and able to be themselves. We're an equal opportunities employer.
Job Details
Market range (est.)$90k–$180k
LocationOffice
AI Score★★★★★★★★☆☆ 8/10
Riskhigh-risk
PostedOct 8, 2026 (4d ago)
Tags & Skills
bettingigamingOtheroffice

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