Posted May 13, 2026
ABOUT TALON.ONE:
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. 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. ABOUT THE TEAM:
As the Head of Data, 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. 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. 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. For this position, we need professionals who are already based in Berlin or willing to move to Berlin.
Own the data roadmap, transitioning the team from a hands-on setup phase to a scalable, strategic function that supports the entire organization. - 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. - 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. - Oversee the transition toward a unified data platform that integrates Product Analytics, Business Decision Making and Machine Learning workloads. - Set the standards for data governance, reliability, and resilience across our modern data stack (with tools including BigQuery, DBT and Kafka). - Act as the key bridge between R&D and business stakeholders, ensuring data is a first-class citizen in all decision-making. WHAT WE NEED YOU TO BRING TO THE TABLE:
7-10 years of leadership experience managing data teams, ideally having managed through a "scale-up" phase in at least two different companies. - The ability to utilize and transform hands-on experience into focus on project management, team health, and high-level architectural planning. - A deep understanding of B2B-the SaaS business models and experience working with cross-functional business stakeholders. - While this is not a hands-on role, a strong grasp of data lakes, streaming architectures and modern DWH concepts are must have. - Strong ability to translate complex data infrastructure challenges into business impact for non-technical leadership
OUR TECH STACK:
WHAT'S IN IT FOR YOU:
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