Lead Manager - Geospatial

Lead Manager - Geospatial

Role Purpose

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 geospatialagenda and maintaining a portfolio of projects that support Asda's growth and operational efficiency.

Key Accountabilities

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.

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 & Experience

Essential

• 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.

you'll love

To ensure we balance moments where we know we need to collaborate together and the need for flexibility, Asda has a hybrid way of working with a minimum 3 days a week in one of our Home Offices. Over and above this, each area of Asda may have additional requirements which may require spending more days in the office, visiting suppliers, stores or depots.

You will also get an excellent benefits package including:

• Discretionary company bonus

• Company pension up 1.5 times colleagues' contribution (Max 15%)

• Company Car allowance of £8000

• 15% colleague discount in store and online

• Free access to wellbeing services such as Stream, 24/7 virtual GP, counselling, health and dental cash plans and a 24/7 employee assistance helpline, alongside discounts across a range of services and activities, from airport parking, enhanced to theme parks and cinemas.

• Asda Allies Inclusion Networks – helping colleagues to make sure everybody is included and that our differences are recognised and celebrated

• Excellent parental leave policies, including maternity & adoption leave, paternity leave, shared parental leave, neonatal care leave, and support for those doing fertility treatments.

We want all colleagues to be able to bring their best and true selves to work, every day. Simply put, we want our colleagues to be Proud to be Asda and proud to be themselves