Head of Product Analytics & Experimentation

Job description

Why qlub The end of a great meal shouldn't be the slow part. Waiting for the check, finding someone to take payment, splitting a bill by hand. qlub removes that friction. Guests scan a QR code and pay in seconds. No app, no download, no waiting. From Pay-at-Table and Digital Menus to Order-and-Pay, Payment Links, and SoftPOS terminals, we handle the full payment experience so restaurants can focus on what they do best: great hospitality. Less friction means faster table turnover, smoother operations, and higher profit. We're a fast-scaling fintech backed by Mastercard, Mubadala, e& and Shorooq. $72M raised, live across multiple markets worldwide, and headcount doubled in the past year. We're building the teams that take us to the next stage. The role You'll lead product analytics at qlub and build the experimentation engine behind our growth, scaling to 50+ A/B tests a month. You'll set the standard for how our data is modelled so analytics and AI can trust it, and lead a team of BI analysts working closely with Product, Operations, Tech and Data Engineering. What you’ll own Own experimentation end to end: configure and scale our existing A/B testing platform, set standards for test design, sample sizing, metrics and guardrails, and review results. Train product managers and operations leads to run sound experiments themselves, and build the playbooks, templates and review rituals that make this routine. Define the analytical data model: entity and event design that joins consistently across product flows, slowly changing dimensions, a semantic layer, and metric definitions. Introduce data contracts and governance standards with Tech and Data Engineering, so that new events and tables are designed correctly from the start. Coach and grow a team of three junior analysts and one senior analyst. Who you are You've built and scaled an experimentation culture, and you're rigorous on test design while pragmatic about when evidence is enough to decide. You love teaching, turning PMs and ops leads into confident experimenters and growing analysts through direct, kind coaching. You think in systems and care about data models, definitions and governance, because reliable analytics and AI depend on them. You drive change through influence and clear reasoning, partnering well across Product, Operations, Tech and Data Engineering. You communicate clearly with executives…