Director of Data Intelligence

Take the clearer route to smart career growth.At , we're reimagining eCommerce by enhancing search, discovery, and customer engagement through a standout suite of innovative apps. Our mission is straightforward yet powerful: to empower our partners with solutions that streamline their operations, foster customer trust, and drive sustainable growth. We're not just about technology - we're about making eCommerce smarter, simpler, and more impactful, delivering solutions that inspire confidence and create real results.With fresh investment and rapid growth, this is the perfect time to join our journey. When you become part of , you step into a role where your work truly matters. Here, you'll have the opportunity to own your projects, drive outcomes, and make an impact within a supportive, diverse team of professionals dedicated to customer success. We value clarity, results, and a customer-centric approach that keeps us focused on delivering real value to our partners every step of the way.If you're ready to cut through the clutter and focus on what really matters in a dynamic eCommerce landscape, is the place to grow, lead, and shape the future of online retail. Join us, and be part of a team that's committed to making eCommerce clearer, more efficient, and more rewarding for everyone.Your Impact:AsDirector of Data Intelligence, you will lead 's data enablement and governance strategy building scalable models, analytics processes, and frameworks that define how data is structured, accessed, and used across the business. You'll act as the company's data steward and governor, ensuring consistency, clarity, and accountability in every data decision and tool selection. Beyond mentorship, you'll set the data philosophy and operating standards that guide how teams interpret, trust, and act on data. This role is ideal for a leader who thrives at the intersection of data, product, and technology, translating complexity into clarity and enabling every team to make smarter, faster decisions through data.You'll report directly to the CTO and be part of a team that values quality, communication, and continuous learning. This is a hybrid role based in our Leicester city center office. Most of the team works on site four days a week, with one flexible work from home dayWhat you'll do:Build scalable analytics and data science capabilities that others can maintain and extendPartner with Product, GTM, and Engineering teams to define data requirements and key performance metrics. Continually update and improve as our business evolvesTranslate business needs into technical models, pipelines, and reusable data productsOversee the design and implementation of predictive analytics and AI models that deliver internal and customer-facing insightsEstablish and enforce data quality standards, governance frameworks, and best practicesDrive a culture of data literacy, ensuring teams are empowered to use data responsibly and confidentlyCollaborate across business and technical domains, enabling data driven product innovationRequirements:Widely recognized as a technical expert and thought leader in the industryExtensive experience designing and building large-scale, complex, distributed systemsDeep understanding of multiple technology domains and architectural patternsExceptional communication, collaboration, and leadership skillsProven ability to influence and drive consensus at all levels of the organizationExperience with a wide range of technologies and platformsStrong track record of innovation and technical leadershipExperience working with and influencing executive leadershipSignificant contributions to the software engineering community (e.g., peer-reviewed publications, open-source projects, conference presentations)Success Measures:90% reduction in manual data reconciliation by Q2 202695% of product and GTM teams using governed dashboards or models weekly at minimum (ideally daily)Launch of at least 3 cross-functional predictive models or automated analytics workflows per quarterMaintain >99.95% data accuracy across systems75% of data and product teams trained in applied data literacy and model interpretationWhat you'll need:Bachelor's or Master's degree in Data Science, Computer Science, Statistics, or a related field10+ years of experience in data and analytics, with 5+ years in leadership rolesProven success in scaling analytics from the ground up and with data science teams in a SaaS or technology environmentStrong experience with data platforms, cloud architectures (AWS, GCP, or Azure), and modern analytics stacksDatabricks for data management and DB Notebooks for rapid developmentExperience with any/all PyTorch, HuggingFace, LangChain, LangGraph, Smolagents, LlamaIndex, ONNX, TensorRT, vLLM, Airflow, AWS Batch, Qdrant, Elasticsearch a huge plusExperience implementing predictive models, data pipelines, and governance frameworks at scaleDemonstrated experience partnering effectively with other functions to drive business outcomesQualitiesWhat other characteristics do we look for? Leadership for sure. But what does that mean?Strategic thinker with a passion for enabling others through dataExceptional communication and storytelling skills with both technical and business audiencesEffective mentor who builds and empowers high-performing data teamsStrong focus on operational excellence, quality, and continuous improvementAdept at balancing innovation with governance and reliabilitywhy Customers at the heart: We make our customers the stars of our show and help them thrive. When they grow, so do we. We obsess over their needs so we can dream big on their behalfPurposeful progress: We harness our ingenuity to keep leveling up and growing stronger. We take initiative, think boldly, and don't settle for the status quo. Every risk teaches us something newEndless innovation: We take action, refine our work, and drive meaningful growth for each other and our customers. Humble in our pursuit, we continuously seek to improve. We ask 'How can we help?' striving always to make a meaningfulAlways open: With transparency we simplify the complex, collaborate globally and empower everyone. We believe openness in our communication - with customers, partners, and team members - is essential for building strong relationshipsClear Benefits: Private medical BenefitsWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.