Digital Waffle
Chief Data Officer
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Chief Data Officer (CDO)
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.
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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.
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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.
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