Key AccountabilitiesStrategic Leadership
• Define, own and deliver the organisations geospatial strategy, ensuring alignment with Asda’s wider business objectives.
• Develop and maintain a multi-year geospatial roadmap, balancing short-term business priorities with long-term capability development.
• Champion geospatial across the organisation, driving adoption and awareness at all levels.
Business Partnership & Influence
• Build strong relationships with senior leaders across Property, Online, Customer, Express, Tech and other business functions.
• Identify opportunities where geospatial analytics and data science can improve decision making and deliver measurable business outcomes.
• Provide trusted strategic advice and recommendations to senior stakeholders,
influencing investment decisions and business priorities.
Team Leadership & Capability Development
• Lead, coach and develop a team of managers, analysts and technical specialists, fostering a high-performance and collaborative culture.
• Create clear development pathways, supporting both technical growth and leadership capability within the team.
• Ensure appropriate prioritisation and resource allocation across the geospatial
portfolio.
Analytics, Data Science & Product Delivery
• Oversee the delivery of geospatial analytics, modelling, insight generation and locationbased decision support solutions.
• Lead the development of innovative geospatial products and analytical capabilities that can be scaled across the business.
• Ensure analytical outputs are robust, accurate and aligned to business requirements.
• Promote best practice in analytical methodologies, data science and geospatial modelling.
Data & Technical Governance
• Provide leadership over geospatial data assets, ensuring effective governance and ongoing development.
• Oversee the technical design and delivery of geospatial solutions, ensuring alignment with enterprise data and technology strategies.
• Drive continuous improvement in tools, processes and ways of working to maximise efficiency and impact.
Portfolio Management
• Establish clear success measures and value tracking to demonstrate the commercial impact of geospatial investments.
• Ensure delivery risks, dependencies and priorities are effectively managed and
communicated.
Knowledge, Skills & ExperienceEssential
• Strong experience leading analytics, geospatial or data science functions within a large and complex organisation.
• Demonstrable expertise in geospatial analytics and the application of location
intelligence to business challenges.
• Strong technical knowledge of SQL, Python and modern cloud-based data platforms, including Databricks.
• Experience developing and deploying analytical solutions using advanced statistical and data science techniques.
• Significant experience working with ESRI technologies across both desktop and webbased GIS environments.
• Proven ability to define and execute strategic roadmaps and capability development plans.
• Strong understanding of data management, governance and scalable analytical architectures.
• Experience leading multidisciplinary technical teams and developing talent.
• Exceptional stakeholder management and communication skills, with the ability to influence senior leaders and drive organisational change.
• Strong commercial awareness with a track record of delivering measurable business value through analytics.
Desirable
• Experience of retail analytics, network planning, property analytics or customer insight.
• Exposure to AI-enabled analytics and machine learning applications.
• Experience leading product development and operationalisation.