1 to 25 of 847 Use Case Jobs in England

modern data engineering tech stack and working knowledge of modern database (SQL, NoSQL) with Google Cloud Key responsibilities: Product knowledge transfer: Document existing product knowledge including use case, usage metrics, business processes, technical spec and documentation Document non-functional product knowledge Business analysis: Analyze AS-IS product landscape, use cases, business processes, and customer needs … Fulfil Product Manager responsibility during product development phase. Attend planning sessions, stand-ups, and Agile ceremonies Key skills/knowledge/experience: 8+ Years Experience Business use case analysis User interviews Stakeholder mapping Requirements documentation writing Working knowledge of software product development Working knowledge of Cloud Excellent verbal and written communication Proven agile development experience Experienced user More ❯

modern data engineering tech stack and working knowledge of modern database (SQL, NoSQL) with Google Cloud Key responsibilities: Product knowledge transfer: Document existing product knowledge including use case, usage metrics, business processes, technical spec and documentation Document non-functional product knowledge Business analysis: Analyze AS-IS product landscape, use cases, business processes, and customer needs … Fulfil Product Manager responsibility during product development phase. Attend planning sessions, stand-ups, and Agile ceremonies Key skills/knowledge/experience: 8+ Years Experience Business use case analysis User interviews Stakeholder mapping Requirements documentation writing Working knowledge of software product development Working knowledge of Cloud Excellent verbal and written communication Proven agile development experience Experienced user More ❯

identification and delivery of opportunities to apply Generative AI and Agentic AI tools across business and operational processes Collaborate with business stakeholders and technology partners to assess potential use cases for AI adoption and automation Support the implementation of AI-driven solutions within cloud or SaaS ecosystems Maintain awareness of emerging technologies, particularly around AI and digital transformation More ❯

identification and delivery of opportunities to apply Generative AI and Agentic AI tools across business and operational processes Collaborate with business stakeholders and technology partners to assess potential use cases for AI adoption and automation Support the implementation of AI-driven solutions within cloud or SaaS ecosystems Maintain awareness of emerging technologies, particularly around AI and digital transformation More ❯

POS , ERP , CRM , and loyalty systems . Demonstrated experience with cloud-native architectures (AWS, Azure, GCP), microservices , APIs , DevOps , and data platforms . Familiarity with AI/ML use cases in retail and knowledge of GenAI advancements relevant to customer experience and operations. Strong understanding of agile delivery models , product management practices , and enterprise architecture. Excellent communication and More ❯

new indicators and alternative datasets; formalise feature engineering and signal decay/robustness analysis; implement model risk controls , documentation, and reproducibility. Scale and commercialise proprietary metrics for investment use‐cases and new revenue lines (e.g., indices, APIs/subscriptions, data products). 2) Data Operations & Quality Control (Automation‐First) Work with systematic team and IT to automate ingestion More ❯

manufacturing, logistics, and consumer goods. Contribute to long-term goals such as establishing a Centre of Excellence and embedding AI into planning and forecasting cycles. 2. Use Case Discovery & Prioritization Identify and assess AI use cases with the greatest potential for impact. Balance quick-win projects with strategic initiatives that support long-term transformation. 3. More ❯

environment, in which considered risks taking can occur and innovation thrives Exposure and awareness of modern-day programming languages Demonstrable understanding of PaaS/SaaS/IaaS and use cases and best practices in public cloud Proven awareness of the latest developments in today's public cloud industry (AWS/Azure etc) and related industry benchmark/best More ❯

key part in designing, delivering, and optimising data pipelines and architectures. Your focus will be on enabling robust data ingestion and transformation to support both operational and analytical use cases. If you're passionate about data engineering and want to make a meaningful impact in a collaborative, fast-paced environment, we want to hear from you !! Role and More ❯

databases, and streaming data. Optimize performance, scalability, and cost efficiency of Databricks clusters and workflows. Collaborate with cross-functional teams to support analytics, machine learning, and business intelligence use cases. Implement data governance, lineage, and observability best practices using tools such as Unity Catalog, DataHub, or Collibra. Mentor junior engineers, fostering best practices in data engineering, testing, and More ❯

databases, and streaming data. Optimize performance, scalability, and cost efficiency of Databricks clusters and workflows. Collaborate with cross-functional teams to support analytics, machine learning, and business intelligence use cases. Implement data governance, lineage, and observability best practices using tools such as Unity Catalog, DataHub, or Collibra. Mentor junior engineers, fostering best practices in data engineering, testing, and More ❯

databases, and streaming data. Optimize performance, scalability, and cost efficiency of Databricks clusters and workflows. Collaborate with cross-functional teams to support analytics, machine learning, and business intelligence use cases. Implement data governance, lineage, and observability best practices using tools such as Unity Catalog, DataHub, or Collibra. Mentor junior engineers, fostering best practices in data engineering, testing, and More ❯

integrity of our platform. What You'll be Doing: Deep Product Knowledge: Gain and maintain an extensive understanding of our product suite, including its technical limitations. Use Case Analysis: Assess needs to determine applicable use cases our platform can address. Recommend optimal product configurations and program implementations. Proposal Development: Collaborate with stakeholders to create the … technical feasibility and alignment with client requirements. Client Escalation: Act as an escalation point and offer expert advice to clients on the product's functionalities, limitations, and best use scenarios where this cannot be resolved in-market. Technical Liaison: Act as a bridge between other markets and our product and engineering teams, understanding and translating technical requirements and … solutions to complex problems Highly interpersonal and able to present confidently to regional technical stakeholders Solid analytical and problem-solving skills to understand client problems and identify standard use cases that our product supports, and at the same time satisfy the client's needs Experience delivering consultancy services, presales support and advice to clients Experience resolving complex and More ❯

About the Role Grade Level (for internal use): 11 The Team This role is part of the Demand Generation function within Enterprise Marketing, reporting into the Director responsible for In-bound lead management and account-based marketing (ABM). As marketing at S&P Global embraces AI across the funnel, the AI Enablement & Operations Lead will drive the … of prompt frameworks for generative AI tools - including S&P Global's in-house SparkAssist - to ensure outputs are brand-aligned, operationally effective, and tailored for internal marketing use cases. Establish usage standards, best practices, and automation governance policies to ensure scalable, secure, and compliant deployment. Assist in developing and communicating the strategic vision for AI integration in … Develop and execute internal training programs to drive adoption and responsible use of AI tools across the global marketing organization. Create toolkits, playbooks, and use-case documentation tailored to different user groups (e.g., SDRs, campaign managers, content teams). Train marketers and content creators in prompt engineering best practices to improve generative AI output quality More ❯

and objectives. Conduct detailed analysis of business processes, systems and data to identify opportunities for improvement and optimisation. Facilitate workshops and interviews to gather requirements, user stories and use cases. Analyse and document business processes, workflows and system interactions to ensure alignment with business goals. Translate business requirements into functional specifications and user stories to ensure clarity and … and problem-solving skills, with the ability to translate complex business needs into actionable requirements. Proficiency in business analysis techniques, such as process modelling & lean practices, use case development and requirements elicitation. Experience with Agile delivery and knowledge of methodologies and tools, such as Scrum, Kanban, SAFe 5.0, LeSS. Excellent communication and presentation skills, with the ability More ❯

to enhance the Business Analysis framework About You You’ll bring: • At least 2 years’ experience in a Business Analyst role • A formal BA qualification • Strong understanding of use cases, user stories, and activity diagrams • Proficiency with Microsoft Office and document assembly tools • Familiarity with PRINCE2 or Agile project delivery methodologies • Excellent analytical, communication, and stakeholder management skills More ❯

enable real-time analytics, and ensure robust data governance and quality frameworks. The engineer will collaborate with cross-functional teams to support AI/ML, GenAI, and IIoT use cases in manufacturing and industrial environments. Key Responsibilities Architect and implement cloud-native data pipelines on AWS or Azure for ingesting, transforming, and storing industrial data. Integrate data coming More ❯

Work closely with cross-functional teams — HR, IT, and Data Governance — to ensure data consistency and compliance with GDPR and privacy standards. Support HR reporting and workforce analytics use cases, including attrition, diversity, headcount, compensation, and talent management analytics. Key Skills & Experience: Technical Skills: Deep expertise in SAP Datasphere/SAP Data Warehouse Cloud Strong experience in SAP More ❯

Work closely with cross-functional teams — HR, IT, and Data Governance — to ensure data consistency and compliance with GDPR and privacy standards. Support HR reporting and workforce analytics use cases, including attrition, diversity, headcount, compensation, and talent management analytics. Key Skills & Experience: Technical Skills: Deep expertise in SAP Datasphere/SAP Data Warehouse Cloud Strong experience in SAP More ❯

world applications ⚙ Build and support AI pipelines — from data preprocessing to model deployment and monitoring 💬 Collaborate with cross-functional teams to integrate AI solutions into production environments 🔍 Explore use cases in NLP, computer vision, and generative AI using frameworks such as PyTorch, TensorFlow, and Hugging Face 🔒 Contribute to model governance, compliance, and responsible AI practices What’s in More ❯

analytics, and automation capabilities. • Cleanse, transform, and integrate data from oneAdvanced, legacy systems, and external data sources into central data platforms (EDW/Azure). • Implement machine learning use cases such as cashflow forecasting, working capital optimisation, fraud detection, and HR analytics. • Ensure compliance with GDPR, SOX, and internal governance when handling sensitive financial and HR data. • Support More ❯

city centre Birmingham office with a hybrid workstyle. Role & Responsibilities Working closely with colleagues in IT and other internal teams, notably Finance to build a roadmap of business use cases to ingest into the data warehouse to fuel reporting & dashboards. Own, monitor, and evolve the current Azure Data warehouse, developing and implementing data engineering best-practice (e.g., source More ❯

analytics). Support rationalisation and integration of fragmented technology estates resulting from mergers, acquisitions, or platform expansion. AI & Data Strategy Enablement Identify and drive AI and data-driven use cases relevant to investment advisory, client servicing, risk management, and operational automation (e.g., hyper-personalisation, RPA, document intelligence, GenAI for regulatory reporting or client communications). Collaborate with data More ❯

masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s More ❯

masking, and policies/entitlement understanding Build and optimise ELT pipelines (using tools such as dbt, Airflow, Fivetran, or native Snowflake tasks) to support batch and real-time use cases Collaborate with Kubrick and client stakeholders to inform delivery planning, data strategy, and architecture decisions Promote engineering excellence through code reviews, reusable patterns, and contribution to Kubrick’s More ❯