> Markdown version of [/jobs/ext/1418944-data-analytics-platform-manager](https://www.wearedevelopers.com/jobs/ext/1418944-data-analytics-platform-manager). 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). --- # Data & Analytics Platform Manager - **Company:** Mitchells & Butlers plc - **Location:** Birmingham, UK - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Microsoft Azure, Continuous Integration, Data Infrastructure, DevOps, Performance Tuning, DataOps, SQL Databases, Data Streaming, Data Lakes, AI Platforms, Data Analytics, Data Management, Machine Learning Operations - **Published:** July 24, 2026 - **Apply:** https://uk.indeed.com/viewjob?jk=b4c12bf99f5dec30 ## About the Role * An individual who combines outstanding technical expertise with exceptional stakeholder management skills and the ability to communicate complex information clearly and confidently to a wide range of audiences * Microsoft Azure data platform, including Data Factory, Synapse Analytics, Fabric, and Data Lake * Enterprise semantic layer, ontology and knowledge graph awareness, SQL, relational, non-relational, lakehouse, graph and streaming data patterns and techniques * DevOps, DataOps, MLOps and CI/CD for data, analytics and AI platforms Monitoring, alerting, performance tuning, and cost management across data platforms ## Description * Define and own the Data & Analytics Platform strategy, roadmap and investment plans. * Build compelling business cases that demonstrate value, capability maturity and measurable outcomes. * Lead the delivery and optimisation of modern data platform capabilities across Azure. * Champion best practice across DataOps, MLOps, platform engineering and AI readiness. * Drive platform performance, resilience, scalability and cost optimisation. * Partner with Architecture, Security, Governance, Engineering and business stakeholders to establish consistent standards and ways of working. * Enable trusted, governed AI and advanced analytics capabilities across the organisation. * Establish clear ownership models and operating principles spanning central teams and business domains. * Manage strategic technology partners and vendors, holding them accountable for agreed outcomes and delivery.