Delivery Lead - Job Description Job Title: Delivery Lead Location: UK - Remote Role Summary We are looking for a skilled Delivery Lead to manage BAU operational delivery and smaller project execution across a portfolio of B2B partners within a fast-paced iGaming platform business. This is a hands-on delivery role suited to someone already operating at Project Manager / Delivery Lead level, with strong stakeholder management experience and the ability to drive delivery across multiple internal teams. You will be responsible for ensuring partner requests, operational priorities, and project deliverables are managed effectively, with clear communication, strong governance, and a focus on quality outcomes.

Key Responsibilities

Lead end-to-end delivery across BAU operations and project workstreams for B2B partners, ensuring high-quality execution and clear stakeholder communication. Act as the delivery lead for partner-facing operational requests, platform changes, enhancements, and delivery initiatives, managing priorities and ensuring timely outcomes. Lead delivery of small to medium projects, and workstreams within larger programmes, owning end-to-end planning, coordination, governance, documentation and release readiness activities. Manage delivery across internal teams including Product, Engineering, QA, and Compliance, ensuring dependencies, risks, and blockers are proactively identified and resolved. Managing day-to-day partner communications, operational check-ins, and escalation management, ensuring expectations are managed effectively and issues are handled professionally. Support incident and change delivery processes, ensuring work is triaged, tracked, prioritised, and progressed through to resolution. Drive continuous improvement of delivery processes, helping mature BAU delivery, improve reporting, and strengthen operational ways of working. Skills & Experience Required Proven experience working as a Project Manager, Delivery Manager, or Delivery Lead in a fast-paced environment. Strong experience managing BAU operational delivery, alongside project delivery responsibilities. Demonstrable experience working in a B2B environment, dealing directly with external partners or clients. Confident stakeholder management skills, including managing escalations and senior partner relationships. Strong ability to manage multiple priorities across BAU and project workstreams simultaneously. Experience working with cross-functional teams across technology and business functions. Strong knowledge of delivery governance, including planning, RAID management, reporting, and delivery tracking. Experience using tools such as Jira and Confluence (or similar delivery management platforms). Excellent communication skills with the ability to translate delivery progress into clear partner updates. Desirable Experience Experience within iGaming, gambling platforms, sportsbook/casino suppliers, fintech, or regulated SaaS environments. Exposure to PAM platforms, wallet, bonus, CRM, or regulatory delivery environments. Understanding of incident management, release processes, and operational readiness practices. Experience working in Agile delivery environments (Scrum/Kanban). Experience supporting partner onboarding, integration delivery, or multi-market rollouts. Key Attributes Highly organised, delivery-focused, and comfortable taking ownership. Calm under pressure, able to manage escalations and shifting priorities. Proactive communicator who can confidently manage partner expectations. Strong attention to detail with the ability to see the bigger picture. Collaborative and relationship-driven, able to influence without authority.

What We Offer

Competitive salary and equity package Flexible working arrangements Learning and development budget Modern tech stack and the autonomy to make real impact A team that values doing things properly over just doing things quickly If this sounds like you, we'd love to hear from you. Send us your CV and tell us about a time you tracked down a gnarly production issue—bonus points if it involved creative use of observability data.