Head of Data

Our Data team brings together engineers, scientists, and analysts who play a critical role in how the business grows. We work with large volumes of marketing and performance data, support data-hungry stakeholders across the company, and help turn complexity into clear, high-impact decisions. As Head of Data, you'll shape how data is managed, activated, and trusted across the company - while also helping unlock smarter automation through AI where it creates real value.

Responsibilities

Lead and develop a team of 11 data professionals across engineering, science, and analytics, with a mix of direct and indirect leadership; Set the direction for how data is managed across the company, ensuring it is reliable, scalable, and useful for decision-making; Own the data roadmap across infrastructure, analytics, and data science, aligning priorities with business needs and growth goals; Partner closely with marketing and other data-heavy stakeholders to ensure the team is solving the right problems and delivering real impact; Strengthen the company's data foundations so teams can make faster, better, and more confident data-driven decisions; Guide technical decisions around data architecture, tooling, workflows, and platform development without needing to be the main hands-on builder; Drive a high standard across data quality, delivery, and team execution, while keeping the team practical and focused; Act as a key partner to senior leadership, translating business goals into a clear and commercially relevant data strategy; Lead cross-functional data related AI initiatives with a company-wide mindset, ensuring strong solutions are communicated well, adopted by the right teams, and translated into real business usage; Identify and push forward opportunities where AI and automation can improve internal workflows, efficiency, and decision-making across the business

Requirements

Strong leadership experience managing data teams that include a mix of engineers, scientists, and analysts; Background in data engineering or data science, with enough technical depth to guide architecture and delivery decisions credibly; Experience working with large-scale data environments and supporting business-critical, data-driven decision-making; Strong understanding of analytics, data platforms, and modern data tooling such as Snowflake, dbt, Airflow, Python, or AWS; Ability to work cross-functionally and drive adoption of data or AI solutions beyond the boundaries of the data team; Experience building trust with demanding stakeholders and translating business needs into clear data priorities; Ability to balance strategic thinking with execution, and structure with speed; Good judgment on where process helps and where it only slows things down; Strong interest in AI and automation, with a practical view on how they can improve workflows, decisions, and business performance; Strong communication skills and the ability to make complex data topics clear, relevant, and actionable for non-technical stakeholders

Benefits

Private health insurance with mental health coverage (including psychotherapy sessions); In-house physiotherapy; Access to premium wellness apps and fitness resources; Paid sick days; Extra vacation days that grow the longer you're with us; 70/20/10 development model and L&D initiatives; Access to courses, conferences, books, subscriptions, and regular knowledge-sharing sessions; Work anniversaries and celebrations for personal milestones; Quarterly team events, company workations, wellness challenges, and marathons; Modern workspace at the CyberCity campus with gyms, coffee spots, restaurants, and Pet Thursday