26 to 50 of 775 Use Case Jobs in England

build and deliver. Required Skills Experience in using GenAI in Test Automation e.g. GitHub Copilot or equivalent Excellent Problem-Solving skills and interpersonal skills. Ability to convert business use cases and problems into technical test solutions. Proven history of being accountable for the overall quality of the product and services within that product. Experience in working closely with More ❯

build and deliver. Required Skills Experience in using GenAI in Test Automation e.g. GitHub Copilot or equivalent Excellent Problem-Solving skills and interpersonal skills. Ability to convert business use cases and problems into technical test solutions. Proven history of being accountable for the overall quality of the product and services within that product. Experience in working closely with More ❯

the enterprise data landscape within SAP Analytics Cloud, ensuring scalable, secure, and high-performance data environments. * Design and implement complex data models that support both operational and analytical use cases, leveraging advanced features such as spaces, views, and semantic modelling. * Lead data integration initiatives, orchestrating seamless ingestion and harmonization of data from SAP (e.g., S/4HANA, BWS More ❯

maintain the enterprise data landscape within SAP Datasphere, ensuring scalable, secure, and high-performance data environments. * Design and implement complex data models that support both operational and analytical use cases, leveraging advanced features such as spaces, views, and semantic modelling. * Lead data integration initiatives, orchestrating seamless ingestion and harmonization of data from SAP (e.g., S/4HANA, BWS More ❯

various systems such as databases, APIs, and cloud platforms. Your work will directly support batch processing, real-time streaming, and event-driven data pipelines across a variety of use cases. Were looking for candidates with over 3 years of relevant experience in data engineering, platform engineering, or a related field, with demonstrated hands-on expertise in NiFi and More ❯

various systems such as databases, APIs, and cloud platforms. Your work will directly support batch processing, real-time streaming, and event-driven data pipelines across a variety of use cases. Were looking for candidates with over 3 years of relevant experience in data engineering, platform engineering, or a related field, with demonstrated hands-on expertise in NiFi and More ❯

supporting secure access and identity workflows, such as SSO and role-based access. Building and maintaining custom data pipelines that enable structured and unstructured onboarding for high-value use cases. Troubleshooting client issues and delivering elegant solutions with a sense of urgency and professionalism. Collaborating cross-functionally with Product, Intelligence, Growth, and Client Success to shape the roadmap More ❯

supporting secure access and identity workflows, such as SSO and role-based access. Building and maintaining custom data pipelines that enable structured and unstructured onboarding for high-value use cases. Troubleshooting client issues and delivering elegant solutions with a sense of urgency and professionalism. Collaborating cross-functionally with Product, Intelligence, Growth, and Client Success to shape the roadmap More ❯

Agile and Waterfall methodologies. Ability to manage multiple priorities and work independently. Knowledge & Experience: Proven experience in business analysis within complex environments. Familiarity with business modelling techniques (e.g., use cases, process models). Experience with MS Dynamics 365 and tools like Azure DevOps or JIRA. Understanding of housing management systems (e.g., Orchard, Asprey) - desirable. Knowledge of regulatory frameworks More ❯

to discuss this opportunity with you further. Transferable skills and experience: Design Modelling, ideally with Archimate (BizzDesign preferred) Requirements Modelling/Capture techniques such as User Stories and Use Cases AWS and Azure Cloud usage VMWare usage Technical Leadership & Design DevSecOps tooling and practices Application Security Testing SAFe (scaled agile) Processes Data Integration Focused: Data Pipeline Orchestration and More ❯

requirements. Lead and facilitate structured workshops, stakeholder interviews, and working groups to extract detailed requirements for new and existing strategic initiatives. Translate complex business needs into user stories, use cases, and functional specifications, ensuring alignment with development team capabilities. Provide regular updates to stakeholders through status reports, dashboards, and presentations, ensuring transparency and accountability. Display a strong delivery More ❯

other facets of your life outside of work. In this role, you'll get to Provide ThreatConnect platform training for software admins and analyst users while supporting various use cases of the product Have the ability to map customer processes, intelligence requirements, and infrastructure into ThreatConnect's capabilities/data modeling Eliminate any customer or internal bottlenecks impeding More ❯

to end - from discovery through to implementation - across client environments. What You'll Be Doing: Designing and implementing conceptual, logical, and physical data models for analytical and streaming use cases Collaborating with engineers, architects, and stakeholders to gather requirements and define scalable solutions Establishing and enforcing data architecture standards, lineage documentation, and governance frameworks Providing expert input on More ❯

DXC Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Have experience designing Cloud/Data Platforms & AI solutions and insurance use cases, including Gen AI; and are inquisitive and keen to explore areas of emerging technologies Set yourself apart (we're very interested in hearing from you if you have More ❯

DXC Have proven stakeholder management and communication skills, leveraged to influence and persuade on key architectural decisions Have experience designing Cloud/Data Platforms & AI solutions and insurance use cases, including Gen AI; and are inquisitive and keen to explore areas of emerging technologies Set yourself apart (we're very interested in hearing from you if you have More ❯

processes, and ensuring successful implementation of IT change. Key responsibilities include: Leading workshops and interviews to gather and validate business and system requirements Documenting functional specifications, user stories, use cases, and business process flows Creating and maintaining accurate business requirements documents (BRDs) throughout the lifecycle of each project Collaborating with business users, testers, developers, and project managers to More ❯

and work completed. Select appropriate tools and infrastructure for visual quality testing. Debug, identify root causes, and resolve defects within our test frameworks. Launch testing campaigns for various use cases to evaluate our codec releases and integration scenarios. Review design and development work of peers within the test group. Participate actively in agile ceremonies, providing input during planning More ❯

maintain the enterprise data landscape within SAP Datasphere, ensuring scalable, secure, and high-performance data environments. Design and implement complex data models that support both operational and analytical use cases, leveraging advanced features such as spaces, views, and semantic modelling. Lead data integration initiatives, orchestrating seamless ingestion and harmonization of data from SAP (e.g., S/4HANA, BW More ❯

functional specifications for an IT solution. Explore AI and Gen AI interventions in the solution design • Document AS-IS and TO-BE business processes and enablers • Design Business Use cases, lead Functional Architecture, re-engineer process models and integrate disparate services for end-to-end solution delivery • Work with Product Owners and business stakeholders to analyse requirements and More ❯

a trusted advisor and thought leader for key, strategic customers Acting as a technical authority within customers to advise them on complex technical issues Triaging customer requirements/use cases and assembling the right team of experts to deliver Engaging with senior customer stakeholders to steer their data platform strategy in alignment with business needs Qualifications REQUIREMENTS Experienced More ❯

latest advancements in Large Language Models (LLMs) to help shape the future of financial services. Responsibilities Collaborate with product owners and business stakeholders to identify pain points, define use cases, and translate business needs into AI/ML solutions. Develop, test, and optimize AI models, ensuring they align with business goals and regulatory requirements. Work closely with MLOps More ❯

Responsibilities Develop Customer Data Strategies: Design strategies to enable personalised customer experiences across online and offline channels. Product Management: Define and manage customer data products, including use case prioritisation, roadmap development, and value measurement. Data Modernisation: Apply modern data principles to transform legacy systems into scalable, cloud-native architectures. Customer Data Architecture: Collaborate with architects to design More ❯

WHAT YOU'LL DO Key Responsibilities: 1. Own ETF's technology and innovation roadmap Maintain a consolidated view of ETF's technology and innovation needs across user personas, use cases, and function. Maintain a consolidated view on ETF innovation roadmap, incl. process innovation initiatives across functions Prioritize technology initiatives based on business impact, user experience improvements, and alignment More ❯

BI). Knowledge of data governance, quality frameworks, and compliance requirements. Familiarity with data mesh, domain-driven design, or federated data product models. Exposure to AI/ML use cases and responsible AI principles. Demonstrated success mentoring other product managers or leading small product teams. Our Culture At SharkNinja, we don't just raise the bar-we push More ❯

sources and external APIs using advanced prompt engineering and retrieval-augmented generation (RAG) Fine-tune and optimize pre-trained large language models and multi-modal models for targeted use cases, ensuring high performance and low latency in production. Implement distributed training and scalable MLOps pipelines for continuous model improvement Collaborate with cross-functional teams-research, product, and engineering More ❯