Jobs at Marks and Spencer

As a Customer Data Solution Architect, you will design secure and scalable customer data solutions, providing thought leadership and ensuring compliance with design principles while collaborating across teams to enhance data strategies and analytics capabilities.

Lead design, development, and production deployment of scalable, secure Data & AI solutions on Databricks and Microsoft Foundry. Define AI technical roadmap, mentor an AI engineering squad, partner with stakeholders to prototype and scale use cases, and enforce AI governance, security, and ethical practices.

Support delivery of digital marketing plans across Financial Services (Credit, Travel Money, Insurance). Manage website content, coordinate financial promotion approvals, monitor and optimise digital performance using analytics, and manage agency/partner relationships to drive commercial results.

Design and build scalable Azure-based AI platform capabilities (APIs, integrations, model serving) to support Agents, RAG, and LLMs. Produce high-quality technical designs, develop reusable platform components (AI gateways, orchestration services), optimize performance, cost and scalability, and collaborate with architecture, engineering, and product teams to enable enterprise AI adoption.

Perform backstage store operations: receive and process deliveries, manage and restock inventory, keep the shop floor clean and stocked, use digital tools to track deliveries and stock, work quickly and accurately across store functions, and adapt to varied shift patterns.

Work as a physically demanding, fast-paced back-of-store team member handling stock, deliveries and store replenishment. Use digital tools to track deliveries and manage stock, support colleagues across the store, adapt to early-morning and weekend shifts, and maintain product availability and store readiness.

Operate behind-the-scenes store operations: handle stock and deliveries, use digital tools to track inventory, keep the shop floor stocked and clean, work fast and accurately, and support colleagues across the store with flexible shift availability.

Build and maintain Power BI dashboards, develop automated data pipelines and reporting solutions in Databricks using SQL and PySpark, support commercial and trading teams, partner with M&S Online stakeholders, present actionable insights, and improve reporting and analytics capabilities.

Design, build and evolve backend-focused experimentation platform capabilities (APIs, services, automation, developer tooling). Set technical direction and standards, enable a self-service model, partner with product and engineering teams, mentor engineers, and ensure production readiness with observability, resilience, and clear documentation.

Operate behind-the-scenes store operations: manage stock and deliveries, use digital tools to track inventory, keep the shop floor full and clean, adapt to flexible shifts, and support colleagues across functions.

Perform back-of-store operations: receive and process deliveries, manage stock, replenish the shop floor, and use digital tools to track inventory. Work fast in a physically demanding, team-focused environment, maintaining store availability, cleanliness, and efficiency to support customer experience.

Perform physically demanding, high-intensity backstage store operations: receive and track deliveries, move and replenish stock, use digital tools to manage inventory, maintain a clean, stocked shop floor, and support colleagues across the store during assigned shifts.

Lead design, build, test, and operate cloud-based services for the Customer Data Platform. Deliver complex features end-to-end, improve code quality, support on-call operations, mentor engineers, collaborate with Product/Design, and drive reliability, observability, and secure engineering practices.

The Supply and Demand Planner will forecast demand, support product launches, improve processes, and manage supplier relationships to ensure customer satisfaction.

Provide high-energy customer service in the Food section: sell and recommend products, stock and refill, use digital tools (Sparks/in-store devices), work under pressure, adapt across store areas, and contribute to a positive team environment to drive sales.

Lead design and build of scalable AI platform capabilities on Azure and Databricks, including data lakes, integration, model hosting, APIs, and IaC. Produce technical designs, reusable platform components, optimize performance/cost, and collaborate across engineering, architecture, and product to drive operational excellence.

Operate backstage retail operations: receive and process deliveries, manage stock and availability, use digital tools to track inventory, maintain a clean, efficient shop floor, adapt to changing tasks and work patterns, and collaborate with colleagues to keep store operations running smoothly.

The Project Insights & Automation Lead will create Power BI dashboards, automate processes, and utilize AI to support decision-making for M&S Foods project delivery teams.

Own day-to-day delivery of Data & AI marketing products: translate vision into executable plans, manage cross-functional teams, remove blockers, track risks, maintain evolving ways of working, and deliver measurable business impact while engaging stakeholders.

Lead M&S payment acceptance strategy and partnerships across acquirers, schemes and providers. Drive payment cost optimisation, approval rate improvements and customer payment experience via routing, tokenisation, wallets and emerging payment technologies. Manage multi-million-pound budgets, supplier performance, regulatory change and incident response while influencing stakeholders and developing business cases and roadmaps for future payment capabilities.