> Markdown version of [/jobs/ext/4109453-discovery-solutions-architect](https://www.wearedevelopers.com/jobs/ext/4109453-discovery-solutions-architect). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Discovery Solutions Architect - **Company:** John Lewis Partnership - **Location:** London, United Kingdom (Remote available) - **Salary:** £36,000 - £45,000 - **Contract:** Permanent contract - **Skills:** HTML, JavaScript (Programming Language), A/B Testing, Artificial Intelligence, Data Analysis, Big Data, Cascading Style Sheets (CSS), Data Presentation, Python (Programming Language), Automation of Marketing, Scrum Methodology, Software Engineering, Data Processing, Large Language Models, Web Architecture, Programming Languages - **Published:** October 15, 2026 - **Apply:** https://uk.fashionjobs.com/job/john-lewis/Discovery-solutions-architect,12232774.html ## About the Role * Technical & Architectural Expertise: Proven experience in a technical SEO, digital solutions architecture, or data analytics role within a large-scale, enterprise-level e-commerce environment. * Workflow Automation: Demonstrated track record of developing lightweight tools, scripts, or automated workflows to solve real business problems. * Data Diagnostics & Analysis: Mastery of enterprise digital analytics and SEO/GEO diagnostic tools or advanced data handling . * Demand-Led Systems & SEO: Practical knowledge of automated demand-led commerce platforms, web architecture, crawl dynamics, rendering, and programmatic internal linking frameworks. * Experimentation & AI Discovery: Experience building, executing, and analysing digital A/B tests or split-testing frameworks, alongside a deep understanding of LLMs and AI Discovery developments. * Inquisitive Problem-Solving & Storytelling: Natural curiosity to diagnose root causes and design systemic solutions, paired with the ability to turn data into compelling narratives for stakeholders. Desirable skills/experience you may have * Foundational knowledge of programming languages used for automation and data manipulation (e.g., Python or JavaScript). * Experience working within an agile product management or software development framework (Scrum/Kanban). * Hands-on familiarity with agile product and software development teams (understanding of HTML, CSS, and JavaScript framework rendering). #LI-HEADOFFICE ## Description As a Discovery Solutions Architect, you will play a critical, data driven, and forward-thinking role within the Discovery Content Systems team. You will focus on understanding data infrastructure, and digital systems that allow our content and commercial pages to achieve maximum organic visibility and scale. Rather than authoring content directly, you will build and optimise technical bridges, internal linking mechanisms, and demand-led commerce solutions, while owning and maintaining the team's experimentation frameworks., Agile Tool & Workflow Development: Proactively identify emerging digital opportunities and develop creative, automated solutions, scripts, and internal tools that empower content and commercial teams to work smarter and faster. * Data Storytelling & Stakeholder Enablement: Manipulate and analyse large datasets to uncover structural trends and technical opportunities, translating complex metrics into clear, visual, and narrative-driven project plans for non-technical Partners. * Demand-Led Commerce Management: Own the technical configuration, scaling, and performance of our demand-led commerce platforms and internal linking solutions, leveraging automation to capture discovery demand at scale. * Content Team Support & Tooling: Act as the dedicated technical consultant for content creators, providing automated solutions, insights, and structural guardrails without authored content output being required from this role. * Discovery Experimentation Framework: Design, execute, and monitor technical SEO and content experiments (split-testing and observational studies) to validate hypotheses and mitigate risk prior to sitewide rollouts. * Partnership Contribution: Contribute positively to team culture, peer development, and the democratic principles of the Partnership, taking shared co-ownership of team goals.