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• Develop and maintain the Business Capability Map and ensure its alignment with strategic objectives.
• Collaborate with business stakeholders to model value streams, business processes, and operating models.

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build AI solutions for intelligent document understanding

• Designing security solutions based on BT’s security portfolio technologies
• Implementing security solutions
• Testing security solutions
• Handing over security solutions to service
• Creating value through technology for security design across complex multiple platforms and/or technology areas

You will work with the existing utilities product portfolio with focus on market communication in the (intelligent) metering area. The product needs to be enhanced continuously along with legal changes that are defined by the German Federal Network Agency. You will work independently on designing...

• Drive pioneering technical advances to the field of foundation models on structured data, as well as exploring world models for solving business problems.
• Expand the horizon of what is possible by bringing together rich semantic context with large scale business data

Provide strategic cloud architecture and technical governance leadership, defining roadmaps, standards, best practices that optimise the landscape and align with business objectives and long-term sustainability....

Drive the product strategy for the Agentic Offerings Domain; AI Hub: focusing on Discoverability and conversion and and AgentSPHERE; focusing on Agent governance and control leading to the creation of an Agent Marketplace...

• Design and develop normalized and denormalized data models to support reporting and data integration needs
• Apply dimensional modelling techniques to create efficient, scalable, and business-oriented data models
• Develop and maintain data transformations and models using SQL and dbt

• Analysis of existing QM processes to identify potential areas for AI applications
• Research and evaluation of AI technologies and tools to support the automation and optimization of QM tasks
• Support in developing and refining AI use cases, e.g. for error analysis and process monitoring

• Design, development, and deployment of robust development tools and scalable infrastructure
• Collaboration between stakeholders and engineering team for translating business requirements into technical specifications
• Automation of manual processes and optimization of CI/CD pipelines

• Implementation and improvement of business objects for mobile network infrastructure in backend systems up to the API layer
• Development and maintenance of business objects including data models, backend logic, and APIs

• Selling complex service-based solutions across Big Data, Cyber Security, Salesforce, and broader IT service portfolios
• Identifying client business challenges and translating them into tailored solution proposals and value propositions

• Data pipeline development
• Data integration
• Data warehousing
• Data modelling
• Data quality and governance
• Performance optimization
• Collaboration with data scientists and analysts
• Technology selection
• Security and compliance
• Monitoring and troubleshooting

• Development, maintenance and support of cloud-based data operation infrastructure and production data pipelines
• Design, implementation, operation and optimization of Azure data services and Databricks workloads

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• Engage closely with customers and SAP stakeholders to understand goals, challenges, and opportunities, translating them into a clear SAP AI architecture vision
• Design and deliver scalable, reliable end-to-end SAP AI solutions based on SAP AI Foundation and SAP Build Suite

• Architect cloud-native AI applications integrating LLMs vector search and real-time data
• Design end-to-end web solutions from frontend to backend
• Implement RAG pipelines model serving and AI agents in production
• Lead cross-functional teams (Full-stack AI Data)

• Define sovereign cloud strategies that balance innovation, security, compliance, and operational excellence.
• Build transformation roadmaps that guide customers from their current landscape to a future-ready cloud operating model.

Track and synthesise Industry AI strategy inputs — continuously monitor market, customer, and technology developments; distil findings into structured strategic insights that keep the Industry AI strategy current, differentiated, and well-grounded in external reality...