Head of Data

<div class="content-intro"><p><strong>ABOUT TALON.ONE:</strong></p> <p> </p> <p>Talon.One is the most powerful incentives engine that unifies loyalty, promotions and gamification into one holistic platform. Backed by enterprise-grade security and scalability, Talon.One empowers companies to build personalized, profitable promotions and loyalty programs using any data.</p> <p>Today, over 250 of the world’s most-loved brands including Adidas, Sephora and Carlsberg work with Talon.One to drive deeper engagement and lasting loyalty with their customers.</p> <p> </p></div><p><strong>ABOUT THE TEAM:</strong></p> <p>As the <strong>Head of Data</strong>, you will be the visionary leader responsible for defining and executing our company data strategy. You will lead our data team to build a world-class data platform that bridges the gap between technical engineering and business value.</p> <p>Your focus will be on evolving our data function into a strategic powerhouse to stakeholders from across the whole organization. You will own and drive the roadmap that aligns our data engineering capabilities with measurable business impact, ensuring our data infrastructure not only scales with our global client base but also becomes a key differentiator in how we make decisions, demonstrate product value and power future innovations.</p> <p>We seek a strategic leader with demonstrated experience in a B2B SaaS environment. The ideal candidate must be capable of developing a clear strategy, securing alignment with key stakeholders including the CTO, VP of Product and VP of Customer Success, and executing with a high degree of autonomy.<br><br>For this position, we need professionals who are already based in Berlin or willing to move to Berlin.</p> <p> </p> <p><strong>ONCE YOU ARE HERE YOU WILL:</strong></p> <ul> <li>Own the data roadmap, transitioning the team from a hands-on setup phase to a scalable, strategic function that supports the entire organization.</li> <li>Directly manage, mentor, and grow a cross-functional team of 4 individuals consisting of a Data Engineer, an Analytics Engineer, and Analysts, focusing on maximizing team efficiency, fostering greater ownership, and promoting the capabilities and professional fulfillment of your direct reports.</li> <li>Partner with the Post-Sales team to make QBRs reliable, self-service and automated, ensuring we can clearly demonstrate the value of our product through insights for our global clients such as H&M, Sephora and Adidas.</li> <li>Oversee the transition toward a unified data platform that integrates Product Analytics, Business Decision Making and Machine Learning workloads.</li> <li>Set the stand