Jobs at IAG Loyalty

Lead the pre-booking product area to drive commercial KPIs (conversion, AOV, LTV). Set vision, build and coach an agile product team, embed insight-driven testing, manage budgets, navigate re-platform governance, and deliver customer-focused, revenue-generating outcomes.

Lead finance transformation and reporting for IAG Loyalty, owning controls, month-end close, reconciliations, audits, accounting assessments and cashflow forecasting. Improve processes and SAP configuration, partner with commercial and group stakeholders, and support external/internal audit and governance to build a scalable finance function.

Lead transformation of the Holidays Product & Sourcing function by redesigning operating models, processes and governance. Build and manage an Enablement team, embed AI/automation and smarter technology, drive supplier onboarding and product readiness, partner with senior stakeholders to scale capability and improve operational performance.

Lead either the Long Haul or Short Haul destination portfolio, define and execute destination and sourcing strategy, drive profitable growth, lead partner negotiations, embed new ways of working and technology, and develop a high-performing team through transformation.

As a Full Stack Engineer, you will develop features for the Avios App, enhancing the user experience while collaborating with a mobile product team. Responsibilities include building scalable solutions, code reviews, mentoring, and maintaining performance across mobile and backend technologies.

As a Senior Full Stack Engineer, you'll design and deliver complex features for the Avios App, collaborating with engineers and other roles to enhance mobile experiences and scale the platform.

Deliver customer and CRM analytics for Avios Retail: build segmentation and audiences, analyse campaign performance across Email/SMS/Push, design A/B tests, partner with Product, Trading, Engineering and Data to capture and activate customer data, and create reporting frameworks to drive personalised marketing and commercial decisions.

Lead a team of Data Scientists to deliver production-ready machine learning and advanced analytics solutions that drive measurable commercial value across personalization, recommendations, pricing, experimentation and customer lifetime value. Balance hands-on technical delivery with coaching, roadmap prioritisation, stakeholder engagement and responsible AI to ensure solutions are deployed, measured and optimised for business outcomes.