Jobs at MS Companies

Design, build and support scalable Salesforce Loyalty Cloud solutions. Lead development of member lifecycle, promotions, rewards processing and personalized experiences. Implement integrations using REST APIs and Platform Events. Collaborate with architects and product teams, drive code quality, observability, CI/CD and best engineering practices to ensure secure, reliable production systems.

Lead a small team to own inbound compliance across suppliers, logistics partners and depots. Use data and stakeholder engagement to improve stock accuracy, supplier performance and payment integrity. Drive root-cause analysis and continuous improvement, support network transformation and embed new systems and processes into day-to-day operations, ensuring operational standards and availability while managing competing priorities.

Develop and deliver store resource plans, forecasts, and scheduling demand curves; optimise workforce management systems; produce planning reports and MI; give resourcing recommendations; support change and transformation with store and central stakeholders.

Lead architecture strategy for Central domain (Finance, HR, Property); define target states and roadmaps; drive multi-year technology blueprints, governance and standards; ensure solutions meet enterprise, security and platform requirements; advise domain leadership and align Product and Engineering to deliver transformation.

Design scalable AI solution patterns, operating models, governance, and architectures for content and marketing. Assess platforms and vendors, translate prioritized AI use cases into platform requirements, solution designs, and delivery roadmaps, and define reusable standards to enable rollout across teams.

Partner with International Online and Logistics teams to provide commercial finance insight, lead weekly trade reporting, build driver-based models, manage budgeting/forecasting and P&L, analyse fulfilment and inventory costs, develop business cases, and standardise finance processes to support profitable growth and operational excellence.

Handle stock, deliveries and back-of-store operations to keep the shop floor stocked, clean and operational. Use digital tools to track deliveries and manage inventory, work at pace across store functions, and support colleagues while adapting to early-morning and weekend shifts.

Lead technical direction and modernise international commerce platforms. Design scalable integrations for product, pricing, fulfilment, marketplace and partner flows. Champion engineering excellence, DevOps practices, reliability, observability and run-first ownership. Mentor engineers, align multi-team delivery and shape technology strategy to support international growth.

Lead and grow a high-performing software engineering team to deliver scalable, secure, and maintainable solutions aligned to business goals. Oversee delivery, enforce technical standards, drive architecture and DevOps best practices, and manage stakeholders, vendors and partners to achieve successful outcomes.

Lead and coordinate the store fill operation and opening/closing tasks, allocate and coach colleagues, ensure a clean, safe and well-presented salesfloor, handle cash and key-holder duties, support nearby stores when needed, and role model excellent customer service and M&S behaviours.

Early-morning retail operations role handling stock, deliveries, and back-of-house tasks. Operate mechanical equipment, use digital tools to track deliveries and manage stock, keep the shop floor stocked and clean, and work flexibly across store teams with speed, accuracy and physical stamina.

Investigate and resolve escalated customer queries and complaints via phone, email and web chat. Gather information from customers, stores, suppliers and internal teams, write clear responses, aim for first-time resolution, and flag brand-risk issues while providing insights to influence business decisions.

Lead design, development, and deployment of scalable Data & AI solutions on Databricks and Microsoft Foundry. Define AI technical roadmap, mentor an AI engineering squad, partner with stakeholders to prototype and scale AI products, and ensure governance, security, and ethical AI practices across enterprise platforms.

Handle back-of-house operations: receiving and stocking deliveries, managing stock availability, using digital tools to track inventory, and supporting colleagues across the store during varied shifts.

Use customer and transactional data on the Azure platform to deliver actionable insight for M&S Food. Support analytics projects, build automated reporting and Power BI dashboards, apply statistical techniques (regression, clustering), create clear visual outputs and recommendations, and partner with stakeholders to drive customer-led decisions.

Operate behind-the-scenes store operations: handle deliveries, stock, and digital stock-tracking tools. Perform physically demanding tasks, maintain cleanliness and product availability, adapt to changing store needs, and collaborate across teams to support store performance.

Lead a shop-floor team to deliver excellent customer service, strong commercial results and operational excellence. Coach, develop and performance-manage colleagues, maintain standards, embrace digital tools, and drive a motivated, multiskilled team.

Lead the Financial Services & Payments analytics strategy, own end-to-end reporting and MI capability, build scalable dashboards and data solutions, partner on data governance and infrastructure, generate customer and commercial insight, and lead a high-performing analytics team to influence senior stakeholders and drive business growth.

Perform physically demanding back-of-store duties: receive and process deliveries, replenish stock, maintain a clean, full shop floor, and use digital tools to track inventory. Work flexibly across store functions, collaborate with colleagues, and maintain speed, accuracy and urgency to support customer availability.

Lead design and governance of customer data solutions for retail: identity resolution, MDM, integration, and modern data platforms (lakes/lakehouses). Create design artefacts, enforce design principles, review solutions for compliance, collaborate with stakeholders, and apply industry trends to improve personalization and analytics.