Lead Manager - Geospatial
Listed on 2026-10-16
-
IT/Tech
Data Analyst, Data Science Manager, Data Engineering
Lead and evolve Asda's geospatial capability, defining and delivering a strategic roadmap that enables data-driven decision making across the business. Responsible for geospatial intelligence, advanced analytics and data science into measurable commercial value, ensuring geospatial capabilities are embedded within key business decisions.
Job TitleLead Manager
- Geospatial
Asda House
Employment TypeFull time
Contract TypePermanent
Hours per Week37.5
SalaryCompetitive Salary plus benefits
CategoryMarket Research
Closing Date15 October 2026
Lead Manager- Geospatial
Lead and evolve Asda's geospatial capability, defining and delivering a strategic roadmap that enables data-driven decision making across the business. Responsible for geospatial intelligence, advanced analytics and data science into measurable commercial value, ensuring geospatial capabilities are embedded within key business decisions. The role combines strategic leadership, stakeholder engagement and technical oversight. Working closely with senior stakeholders across multiple functions, the role is accountable for identifying opportunities, shaping the geospatial agenda and maintaining a portfolio of projects that support Asda's growth and operational efficiency.
KeyAccountabilities Strategic 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.
- 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.
- 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.
- Oversee the delivery of geospatial analytics, modelling, insight generation and location based 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.
- 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.
- 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.
- 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…
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