Head of Data
il y a 2 semaines
We are looking for a Head of Data to take on one of WeWard's biggest challenges: turning a massive stream of data (25M+ users, billions of tracked events) into a strategic lever to fuel our international growth and AI transition.
Reporting directly to Tanguy (Co-founder), you will have full ownership of the company's data vision and strategy. You'll have the freedom to set the standards, choose the technologies, and build a robust and scalable organization capable of supporting a fast-growing consumer mobile app.
Your mission will be to expand and structure the Data team — which already includes a Senior Data Scientist (PhD) and an Analytics Engineer — by rapidly hiring Data Engineers, Analysts, and Fraud specialists to meet business needs. You will lead a team of 5+ people, and position WeWard as a data-first company.
You will also play a central role in exploring and integrating AI across all departments and within the product itself. Your role will involve leading the company's transition to effectively utilize AI in both its products (personalization, automation, fraud prevention) and its operations (support, growth, finance).
At the heart of strategic decisions, you will directly shape initiatives around revenue optimization, personalization, fraud detection, LTV projection, A/B testing, and AI-driven projects.
By joining WeWard, you will step into a role with massive impact, high autonomy, and the opportunity to design both a world-class data stack and data team.
MissionsDrive the global data strategy in alignment with business objectives.
Lead and grow a multidisciplinary team (Data Engineers, Data Analysts, Data Scientists, Fraud Analysts).
Ensure the quality, reliability, and accessibility of data across all teams.
Oversee the design, development, and maintenance of the data infrastructure (pipelines, cloud, monitoring).
Foster a strong data-driven culture, enabling decision-making based on trusted insights.
Lead high-impact analytical and scientific projects (LTV projection, fraud detection, personalization, A/B testing).
Ensure compliance with data protection regulations (GDPR, privacy, security).
Put AI at the heart of the product and team processes, by developing AI-powered features, automation, and internal agents to accelerate impact and unlock new user experiences.
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