Allwyn Lottery Solutions

Product Manager

• Define the vision for how data and AI capabilities are standardised and scaled across operating companies.
• Identify and prioritise high-impact opportunities for:
• Data products (reports, analytics, dashboards, APIs, data services)
• AI/ML use cases (e.g. personalisation, forecasting, player insights, fraud detection)
• Align platform evolution with business priorities across multiple jurisdictions.
• Build business cases and define measurable value (e.g. revenue uplift, operational efficiency, customer engagement).
• Partner with stakeholders across operating companies to identify key business problems and translate them into Data and AI solutions.
• Define and validate use cases using data, experimentation, and hypothesis-driven approaches.
• Establish clear KPIs for our data platform (adoption, usage, model performance, business impact).
• Drive a data-driven decision-making culture across the organisation.
• Own and manage the roadmap, balancing:
• Group standardisation vs local market needs
• Platform scalability vs speed of delivery
• Coordinate data engineers, data scientists, and architects for them to define:
• Data pipelines and ingestion frameworks
• Data models and semantic layers
• AI/ML pipelines and model lifecycle
• Ensure the platform is built using modern, scalable architectures on AWS.
• Oversee the full lifecycle of data products—from ingestion to consumption and continuous improvement.
• Coordinate to define and enforce standards for data quality, consistency, and reliability
• Collaborate with security and RG to define data privacy regulations, security, and responsible gaming principles
• Drive the adoption of AI capabilities across the product, including machine learning models, predictive analytics and AI use cases where applicable
• Identify opportunities to leverage AI to enhance:
• Player experience
• Marketing effectiveness
• Operational efficiency
• Act as the bridge between:
• Business stakeholders (group and local markets)
• Data engineering and data science teams
• Technology leadership
• Align multiple operating companies on shared priorities and platform adoption.
• Drive clarity and decision-making in a complex, multi-market environment.

Senior Data Product Manager

Manager

• Protect commitment credibility across concurrent deployments.
• Ensure demand is capacity-backed before commitments are made.
• Engineer cross-portfolio sequencing rather than react to conflict.
• Provide a single, trusted view of delivery confidence to executive leadership.
• Strengthen decision-making through structured trade-offs and scenario modelling.
• Own the integrated master portfolio view across all major initiatives (iLottery, CLS, iGaming, Technical Transformations and future strategic programmes).
• Define and enforce clear distinctions between shaping, intent, discovery and committed delivery.
• Validate that all commitments are capacity-backed before executive approval.
• Surface explicit trade-offs where demand exceeds available capacity.
• Protect executive confidence in milestone integrity and delivery predictability.
• Reduce volatility and reactive re-planning across the portfolio.
• Own the structured intake and validation of all new portfolio demand.
• Ensure initiatives are clearly defined and appropriately sized before entering discovery or delivery.
• Validate cross-portfolio impact before commitments are formalised.
• Prevent shadow commitments entering execution without governance visibility.
• Provide structured trade-off scenarios when new demand displaces existing priorities.
• Ensure demand governance protects delivery credibility while enabling innovation.
• Own portfolio-level capacity validation across all delivery verticals (Gaming, Product, Customer).
• Establish and maintain clear capacity envelopes and saturation thresholds.
• Translate roadmap ambition into realistic, risk-aware delivery capacity.
• Identify structural overload early and support informed hiring or sequencing decisions.
• Ensure contingency is transparent and not hidden within estimates.
• Support scenario modelling to enable robust executive decision-making.
• Maintain integrated dependency mapping across a shared, multi-product technology stack.
• Identify cascading risks across concurrent deployments and product layers.
• Ensure integrated milestone confidence across programmes.
• Provide a single, authoritative view of portfolio-level RAID themes.
• Reduce systemic friction caused by unmanaged cross-team and cross-product dependencies.
• Own the structure, integrity and evolution of executive and SteerCo reporting packs.
• Ensure reporting reflects portfolio-level risk, capacity and trade-off reality rather than isolated narratives.
• Standardise milestone confidence and risk classification across verticals.
• Provide actionable insight and recommendations to leadership forums.
• Ensure executive conversations focus on decisions, not data reconciliation.
• Line manage and develop the Portfolio Analyst.
• Define portfolio reporting standards, analytical priorities and tooling discipline.
• Ensure data integrity and signal clarity across portfolio systems.
• Continually evolve portfolio maturity in line with organisational growth and complexity.
• Build a pragmatic, disciplined portfolio capability that balances control with delivery velocity.

Senior Portfolio Manager

• Own the integrated master portfolio view across all major initiatives (iLottery, CLS, iGaming, Technical Transformations and future strategic programmes).
• Define and enforce clear distinctions between shaping, intent, discovery and committed delivery.
• Validate that all commitments are capacity-backed before executive approval.
• Surface explicit trade-offs where demand exceeds available capacity.
• Protect executive confidence in milestone integrity and delivery predictability.
• Reduce volatility and reactive re-planning across the portfolio.
• Own the structured intake and validation of all new portfolio demand.
• Ensure initiatives are clearly defined and appropriately sized before entering discovery or delivery.
• Validate cross-portfolio impact before commitments are formalised.
• Prevent shadow commitments entering execution without governance visibility.
• Provide structured trade-off scenarios when new demand displaces existing priorities.
• Ensure demand governance protects delivery credibility while enabling innovation.
• Own portfolio-level capacity validation across all delivery verticals (Gaming, Product, Customer).
• Establish and maintain clear capacity envelopes and saturation thresholds.
• Translate roadmap ambition into realistic, risk-aware delivery capacity.
• Identify structural overload early and support informed hiring or sequencing decisions.
• Ensure contingency is transparent and not hidden within estimates.
• Support scenario modelling to enable robust executive decision-making.
• Maintain integrated dependency mapping across a shared, multi-product technology stack.
• Identify cascading risks across concurrent deployments and product layers.
• Ensure integrated milestone confidence across programmes.
• Provide a single, authoritative view of portfolio-level RAID themes.
• Reduce systemic friction caused by unmanaged cross-team and cross-product dependencies.
• Own the structure, integrity and evolution of executive and SteerCo reporting packs.
• Ensure reporting reflects portfolio-level risk, capacity and trade-off reality rather than isolated narratives.
• Standardise milestone confidence and risk classification across verticals.
• Provide actionable insight and recommendations to leadership forums.
• Ensure executive conversations focus on decisions, not data reconciliation.
• Line manage and develop the Portfolio Analyst.
• Define portfolio reporting standards, analytical priorities and tooling discipline.
• Ensure data integrity and signal clarity across portfolio systems.
• Continually evolve portfolio maturity in line with organisational growth and complexity.
• Build a pragmatic, disciplined portfolio capability that balances control with delivery velocity.
• Within the first 90 days:
• A single, integrated and trusted portfolio view is in place across all major initiatives.
• Engineering, Product and Delivery are aligned on a single, realistic view of capacity, and it is being used to sequence commitments.
• All new demand is being entered through a structured Front Door, with no material shadow commitments.
• Cross-deployment dependencies are clearly visible and openly shared.
• A new portfolio toolset is implemented and actively used across ALS.
• Leadership has confidence in what we’ve committed to and when.

Platform Engineer

• Lead and coordinate delivery across 4 cross-functional platform engineering teams, ensuring alignment to strategic platform roadmaps and organisational priorities.
• Drive execution of large-scale infrastructure and reliability initiatives (e.g. platform migrations, Kubernetes upgrades, networking changes, resilience improvements).
• Facilitate agile ceremonies (planning, stand-ups, reviews, retrospectives) promotes meaningful outcomes rather than process for process’ sake.
• Maintain accurate, transparent delivery plans and dashboards, reflecting real progress, risks, and operational impact.
• Track delivery across scope, timelines, dependencies, and operational risk, raising issues early and driving resolution.
• Act as a technically credible delivery partner to Platform Engineers and SREs, able to engage confidently on topics such as Kubernetes and container orchestration, Cloud infrastructure, Load balancing, CI/CD pipelines, Observability, and reliability concepts.
• Understand the operational impact of change in production systems and help teams plan delivery in a way that minimises risk and downtime.
• Support delivery of work that spans multiple teams, services, and layers of the stack, often with non-linear dependencies.
• Work with Product and Engineering to ensure delivery readiness - valid PRDs, tech designs, assets, and capacity in place before work begins.
• Proactively identify and manage risks, blockers, and cross-team dependencies, escalating early and coordinating mitigation.
• Monitor team velocity and ensure delivery plans remain realistic and aligned to team capacity.
• Act as the delivery point of contact for your teams - building trusted relationships with team members and leadership.
• Provide clear, timely updates on delivery progress, risks, and decisions - ensuring visibility at every level.
• Champion a culture of continuous improvement - challenging the status quo and ensuring retro outcomes are actioned.

Senior Data Product Manager

Senior Portfolio Manager

Senior Portfolio Manager

Delivery Lead – Platform Engineering