Senior Manager, Product Data Science & Analytics

Checkout.com · London

This is a live UK-based role at Checkout.com, a UK Skilled Worker sponsor tracked by Sponsorly AI against the Home Office register. Posted 28 April 2026. Listed as open until 8 November 2026.

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About this role

Company Description We’re http://checkout.comCheckout.com http://Checkout.com. You might not know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether you want to book a holiday, order food, renew a subscription, or check out online, there’s a good chance our tech powers the payments behind the scenes. Our platform helps the most ambitious businesses deliver effortless digital experiences, at scale. If you want to do career-defining work, you’ve come to the right place. We move fast, think globally, and believe great teams are built by hiring exceptional people with conviction, curiosity, and the desire to make an impact. With 20 offices across six continents and London as our HQ, we’re shaping the future of fintech – and we’re just getting started. Leading Data and Analytics for Payment Performance: We pride ourselves on being the best payment platform for achieving market leading acceptance rates through our Intelligent optimisation and fraud detection engine. As Senior Data Analytics Manager, you will own the data analytics delivery underpinning multiple products that define our competitive edge. Being the strategic partner for engineering, product and design leaders, you will provide direction for product’s success through insights, build data products that measure success and ROI our payment performance engine. As a senior leader within the Data Analytics function, you will manage a team of Product Data Scientists and Analytics Engineers. How you'll make an impact: - Leadership: Own the data and analytics strategy for the product vertical, end-to-end delivery of insights and data products. - Product Measurement & Insights: Working closely with the pillar leaders you will set the bar for how data is used in product decision making and measuring

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Listing tracked by Sponsorly AI from Checkout.com's own job posting. Apply directly with the employer — Sponsorly does not process applications.