Delivery Assurance Lead – Flutter

Role Overview

• Facilitate all core agile ceremonies (stand-ups, sprint planning, reviews, retrospectives)
• Ensure teams are operating effectively within agile frameworks (Scrum/Kanban), driving continuous improvement
• Support the transition from AI use case discovery and experimentation into structured, production delivery
• Support delivery of AI initiatives, including LLM-based capabilities, agent workflows, and data-driven features
• Help teams manage the lifecycle of AI products (experimentation → evaluation → productionisation → scaling)
• Ensure alignment between platform development, data dependencies, and platform engineering deliverables
• Coordinate activities such as testing, capability iteration, evaluation metrics, and release readiness
• Manage dependencies across platform, data, security, and AI engineering teams
• Align multiple squads contributing to the AI platform to shared milestones and outcomes
• Enable collaboration between technical and non-technical stakeholders (e.g. Product, Governance, Security)
• Proactively identify and remove impediments, particularly across data access, environment readiness, and governance processes
• Drive focus on prioritised outcomes, reducing inefficiencies and delivery friction
• Improve team velocity, predictability, and flow across iterative AI development cycles
• Act as a bridge between engineering teams and leadership, providing clear updates on delivery progress, risks, and dependencies
• Support governance processes (architecture, security, responsible AI) while maintaining delivery momentum
• Ensure alignment to business outcomes and measurable value
• Work closely with Product Owners and Architecture to maintain a prioritised, well-defined backlog in Jira
• Ensure user stories (including AI-related work such as model integration, data pipelines, and evaluation criteria) are clear, actionable, and appropriately sized
• Support roadmap planning, sprint forecasting, and incremental delivery of platform capabilities
• Own and maintain delivery tracking within Jira (boards, workflows, reporting)
• Utilise planning and collaboration tools (e.g. Confluence, Miro, roadmap tools) to support transparency and alignment
• Track and report on key delivery metrics (velocity, throughput, cycle time, predictability, AI experiment success rates where applicable)
• Provide concise updates for leadership and steering forums

Requirements

• Proven experience as a Scrum Master in complex, cross-functional engineering environments (platform, data, or AI-focused teams preferred)
• Strong understanding of agile methodologies (Scrum, Kanban, scaled delivery models)
• Experience supporting delivery of AI/ML or data-driven products (e.g. LLMs, automation, analytics platforms)
• Proficiency with Jira for backlog management, sprint planning, and reporting
• Familiarity with planning and collaboration tools (e.g. Confluence, Miro, roadmapping tools)
• Understanding of cloud platforms (preferably AWS) and modern software delivery practices
• Ability to manage multiple stakeholders and navigate organisational complexity
• Strong facilitation, communication, and problem-solving skills
• Experience in governance-heavy or regulated environments is advantageous

Tech Stack

• AWS
• Cloud

Benefits

• Hybrid & remote working options
• €1,000 per year for self-development
• Company share scheme
• 25 days of annual leave per year
• 20 days per year to work abroad
• 5 personal days/year
• Flexible benefits: travel, sports, hobbies
• Extended health, dental and travel insurances
• Customized well-being programmes
• Career growth sessions
• Thousands of online courses through Udemy
• A variety of engaging office events