10 of 10 Use Case Jobs in West Yorkshire

methodologies Defining modelling standards, governance frameworks, and data feed specifications Supporting the design of semantic layers that enable reporting, analytics, and future AI use cases Collaborating closely with Data Engineers and Analytics Engineers in an agile delivery environment Producing architecture documentation, diagrams, and technical designs Influencing wider business ...

build scalable data lake and data warehouse solutions on AWS. Develop data ingestion, transformation and storage pipelines to support reporting, analytics and operational use cases. Work with AWS services including S3, Redshift, Glue, Lambda, Lake Formation, Athena and EventBridge. Implement Bronze, Silver and Gold data layers using Medallion ...

engagement; the discipline is the same. Models: Multi-LLM via the kit (e.g. Claude on Bedrock, Gemini, Azure OpenAI), selected per use case for quality, latency and cost. Interfaces: Tools and Model Context Protocol (MCP) for integration; standards-based APIs and secure auth for client systems. What … build reusable agent components, skills, tool libraries and templates; add guardrails so agent behaviour is predictable, safe and repeatable. Prototype and iterate quickly: use the kit's scaffolding to prototype, then harden to production-grade, well-tested Python. Run eval-driven development: build evaluation harnesses and test suites ...

initiatives. Contribute to educating and enabling Enterprise Capabilities areas, including Integration and Automation, by providing guidance, training, and best practices, e.g., on effective use of n8n agents. Engage with business stakeholders to understand requirements, constraints, and key drivers, identifying and implementing high‐value AI opportunities across Waystone. … current with emerging AI tools, frameworks, and techniques to identify opportunities for innovation and improvement. Apply sound judgment to determine when not to use AI, ensuring traditional deterministic solutions are chosen when they are safer, simpler, or more cost effective. Ensure AI-enabled solutions consider full total cost ...

expertise to help us continue pushing the organisation’s analytical frontier to inform policymaking. DAT is leading the transformation of the Bank’s use of data and analytics in order to make the most of the revolutionary opportunities brought about by technological progress and the explosion … Advanced Analytics (AA) AA is a centre of excellence in data science. It supports all areas of the Bank to make the best use of cutting‐edge techniques to get the most out of the data at the Bank’s disposal and broaden the range of analytical ...

capabilities become embedded into enterprise applications and business workflows, IT needs strong regional business partners who can identify practical, value-driven use cases. EMEA requires a role that can understand regional business realities, ensure enterprise platforms are being used effectively, and represent business needs clearly to global application … intelligent agents, workflow automation and enterprise data capabilities to improve business efficiency and decision-making. Partner with business stakeholders to define practical AI use cases, expected outcomes, adoption considerations and measurable value. Promote responsible and effective use of Qualcomm-approved AI capabilities within enterprise business processes. ...

technical debt. Where required, provide advice to, and learn from, other Member Firms, client teams and clients seeking to implement or improve their use of HR applications and people and resourcing capabilities. Maintain awareness of emerging workforce, HR technology, AI and automation trends and assess their relevance, business … release governance. Good understanding of architectural risk, technical debt and legacy decommissioning. Experience assessing cloud, automation and AI capabilities for people and resourcing use cases, including responsible AI and appropriate human oversight. Essential - Other Experience working with Agile software development lifecycle methods. Understanding of common business analysis techniques ...

reusable guidance, examples and guardrails. Guide the transition of user-developed automations into supported enterprise solutions when they outgrow personal or team productivity use cases. Review automation designs to identify fragility, unnecessary complexity, security risks, control gaps and long-term support issues. Evaluate emerging automation technologies, including computer … use agents and successors to traditional RPA, and maintain a roadmap for automation capability maturity. Uplift automation capability across the business through coaching, knowledge sharing and practical guidance, and promote automation-first thinking, complementing the broader AI literacy and enablement agenda led by AI Engineering. REQUIREMENTS Deep understanding ...

decision‐maker for supplier‐led delivery, ensuring priorities and requirements are clearly understood. Translate business and regulatory requirements into user stories, use cases and acceptance criteria. Interpret solution designs and ensure solutions meet the required business outcomes. Work closely with the external development partner throughout delivery. Support … delivery partner, ideally in a supplier‐led environment. Strong Business Analysis skills, including requirements gathering and documentation. Excellent experience with user stories, use cases and acceptance criteria. Ability to translate complex business and regulatory requirements into clear technical requirements. Ability to interpret solution designs and work effectively with ...

hands‐on senior individual contributor role, acting as the bridge between the technical teams developing and implementing AI solutions and the people who use them. You will lead learning initiatives end‐to‐end, from identifying capability gaps and designing engaging learning experiences through to delivery, measurement, and continuous … experiences, including workshops, hands‐on labs, office hours and self‐service learning content. Develop prompt engineering guidance, best‐practice materials and role‐based use cases that drive meaningful adoption. Embed responsible AI, security and data governance principles into all training and enablement activities. Partner with business and technology ...