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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.
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.
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.
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.
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.