Digital Optimisation Manager - Maternity Cover

The Digital Optimisation Manager will be responsible for leading site-optimisation focused experimentation within the Digital Trade team. They will utilise existing tooling and be the focal point for Trade team recommendations for digital product improvements. Responsible for understanding customer journeys and performance of our website and sharing data and insights with all internal stakeholders. They are expected to analyse the site experience from both a category-agnostic and category-specific viewpoint. They are expected to collaborate closely with the Category Trade Managers to translate these insights into practical site optimisation activities in conformance with our digital strategy. Key responsibilitiesSite Optimisation & ExperimentationLead the work to determine and action category-agnostic site optimisation improvements (e.g. search optimisation through Algolia)Collaborate with the Category Managers to determine category-specific site optimisation activities, challenging category discrepancies without a clearly understood purposeProvide project management for trade-led initiativesLead site optimisation focused experimentation activityWork with category managers to collate experiment ideas into a single prioritised backlogManage the experiments through their lifecycle ensuring they are setup correctly and the results analysed in a standardised mannerTraining & SupportContinued training and development for our key trading tools: Algolia, ContentSquare Dynamic Yield, Pyramid BI, Power BIEnsure we are getting maximum value from existing optimisation, and analytical tools. Data & ResearchUse data and analytics to understand site performance and our customer’s behaviour and share insights with relevant teamsUnderstand internal and external benchmarks to identify risks and opportunitiesProvide regular site mappings and updates in ContentSquare for internal stakeholders.Collaborate with relevant 3rd parties or internal IT and Analytics teams to request enhancements to our data & tooling capability or request specific research and insights Provide insights to support the Product/UX teams when investigating new experiencesProduct developmentContribute to data led business cases, presenting back to internal stakeholders for backlog considerationUse insights to recommend new experiments or digital product improvements to the Digital Product/UX teamsCollate Trade team recommendations for new experiments or digital product improvements and be the main contact point for the Product/UX teamsKnowledge, skills & abilitiesGoogle AnalyticsPower BI AnalyticsContentsquareDynamic YieldAlgoliaWeb trade/merchandising backgroundDetail orientedQualitative and quantitative researchUnderstanding of multivariate/split testingProject management

Created: 2025-08-03