Chief Data Officer

A fast-growing ecommerce and lifestyle brand is looking for a Chief Data Officer (CDO) to shape the future of data across the organisation. This is a board-level leadership opportunity to define and execute the company's data strategy, transforming how data is used to improve customer experience, optimise operations and accelerate commercial growth. You'll lead a multidisciplinary data function spanning Data Engineering, Analytics, Data Science and Machine Learning, helping embed a truly data-driven culture across the business. Working closely with the executive team, you'll ensure data becomes a strategic advantage across marketing, ecommerce, merchandising, operations and customer experience. Role: Chief Data Officer (CDO) Salary: Competitive + Benefits Location: London (Hybrid) What you'll be doing * Develop and execute the company's enterprise-wide data strategy, ensuring it supports long-term commercial objectives. * Build and lead high-performing teams across Data Engineering, Analytics, Data Science and Machine Learning. * Create a modern, scalable data platform capable of supporting advanced analytics, AI and real-time decision making. * Partner with executive stakeholders across Ecommerce, Marketing, Product, Operations and Finance to unlock commercial value through data. * Champion a data-driven culture by improving data literacy, governance and accessibility across the business. * Drive innovation through predictive modelling, customer segmentation, recommendation engines, forecasting and personalisation. * Oversee data governance, security, privacy and regulatory compliance across all customer and business data. * Evaluate emerging AI, machine learning and analytics technologies that can create competitive advantage. * Establish KPIs and reporting frameworks that provide clear visibility into business performance and customer behaviour. What you'll need * Previous experience as a Chief Data Officer, VP Data, Head of Data or another senior data leadership role within an ecommerce, retail, marketplace or consumer-focused business. * A proven track record of building and scaling multidisciplinary data teams. * Strong commercial understanding with the ability to translate complex data into measurable business outcomes. * Deep knowledge of modern cloud-based data platforms and analytics architectures. * Experience leading Data Engineering, Data Science, Business Intelligence and Analytics functions. * Strong understanding of machine learning, predictive analytics, experimentation and AI applications within ecommerce. * Hands-on knowledge of modern data technologies including Python, SQL, dbt, Snowflake, Databricks and Apache Spark. * Experience working with cloud platforms such as AWS, Azure or Google Cloud Platform. * Knowledge of orchestration and workflow technologies such as Airflow and containerised environments using Docker and Kubernetes. * Experience building modern BI environments using tools such as Power BI, Tableau or Looker. * Excellent stakeholder management skills with the ability to influence board-level decision making. * Experience operating within Agile product and engineering environments. Nice to have * Experience implementing recommendation engines, pricing optimisation or customer lifetime value modelling. * Knowledge of Generative AI, LLMs and AI-powered customer experiences. * Experience supporting international ecommerce growth and multi-market operations. * Background in subscription, loyalty or omnichannel retail businesses. This role would suit a commercially minded data leader who enjoys combining technical excellence with strategic leadership, building world-class data capabilities and helping a growing consumer brand unlock the full value of its data.