About the Role
This is a specialist, significant leadership role responsible for building AI, Data Science, and Machine Learning solutions. The Head of AI, Data Science and Machine Learning will enable the business to leverage data effectively and deliver measurable ROI through the commercial application of data science to customer and business problems. The role involves managing stakeholders across Strategy, Commercial, Ecommerce, Marketing, Customer, Supply Chain, and Technology. Rapidly increasing Asda's data and data science capability is a critical area of transformation, and this role holder's knowledge and experience will be crucial in shaping the future.
Your Role
- Evangelise data and data science thinking, educating and supporting colleagues to identify opportunities for applying data science.
- Develop a machine learning strategy, with a focus on engineering requirements and Customer priorities, scanning for opportunities to apply data science/machine learning within the business.
- Ensure and embed a consistent approach and standards in Data Science and Machine Learning, reducing duplication and collaborating with the wider data community.
- Champion Asda's data science needs (e.g., tooling or resourcing) within the wider business and the data community.
- Develop and implement strategies to attract and maintain a highly skilled and engaged workforce, leading a high-performing team, identifying skill gaps, recruiting, selecting, and developing talent.
About You
- Extensive knowledge of AI, Data Science, and Machine Learning, with experience leading a high-performing team to deliver against corporate and functional objectives.
- Ability to create and embed data strategies, contributing to and driving improvement within AI and data science.
- Strong relationship-building skills with other data, data science, and analytics teams within Asda to foster learning, sharing, and benefiting from a wider data community.
- Up-to-date with current trends in AI, Data Science, and Machine Learning, leading the Data Science community within Asda, and engaging key stakeholders to influence, create, and embed change.
- Ability to further Asda's competitive advantage in data science by leading new R&D into data science methods and technology stack, and empowering data teams across the business to develop their capabilities.
- High degree of autonomous thinking to set and deliver strategy, supported by a team and guided by the principles of the broader Customer strategy.
- Proven line management and leadership experience of high-performing data scientists who have built and operationalised solutions.
- Extensive experience of statistical analytics and data visualisation.
- Extensive knowledge of the full ML development lifecycle including: experiment design, feature engineering, HPO, validation, deployment and monitoring.
- Demonstrable knowledge of data science languages: SQL, R, Python, Alteryx, Spark and experience of using mainstream machine learning frameworks.
Hybrid Working
Our hybrid way of working gives you the choice to work where it works. This enables you to complete your daily tasks where you'll be the most effective. It offers a mix of working from home and in an office environment that works best for you and your team.