801 to 825 of 2,052 Use Case Jobs in England

discovery with engineers and executives, build demos that land, design and run workshops and proofs of concept, and make the technical case for Exa against alternatives. When a deal needs specialist depth, you pull in our Forward Deployed Engineers. When a deal closes, you hand the customer … technical side of new opportunities alongside Account Executives, from first call through technical win Run discovery to understand a prospect's use case, architecture, data needs, and success criteria, and qualify where Exa fits Build and deliver tailored demos , sample apps, and prototypes that show what ...

cost data to uncover trends and inform pricing strategy. Collaborate with Pricing Strategy, Competitive Intelligence, and Deal Desk teams to identify and test use cases. Create dashboards and visualisations that enable real‐time insights into pricing performance and deal behaviour. Implementation & Enablement: Help translate models into tools … decision aids for use by sales, finance, and pricing teams. Work with the Business Intelligence and Data Engineering teams to ensure access to clean, structured data pipelines. Participate in A/B testing and pilot deployments of pricing or recommendation engines. Behaviors and Competencies Analytical Thinking: Can apply ...

Track and report benefits transparently throughout the delivery lifecycle, intervening where adoption or value is below expectation and ensuring corrective actions are agreed. Use evidence from delivered outcomes to refine priorities, scale successful solutions and continuously improve the return on Data & Analytics investment. 4. AI & Innovation Execute … identify, prioritise and deliver high‐value AI use cases across the pharmaceutical supply chain, commercial and operational activities, with a clear business case for each. Ensure AI is adopted responsibly, with appropriate controls for ethics, transparency, security, regulatory compliance and human oversight, working with Legal, Compliance, Information ...

with a range of clients to develop AI adoption strategies, and collaborate with them to support the development, procurement and deployment of AI use cases in capital delivery, major programmes and portfolio management. … seeking an exceptional, senior AI professional to lead this transformation for some of our key clients. You will own AI use-case strategy and enterprise change across capital delivery and infrastructure functions which involves mapping and re‐engineering processes, deploying proven AI tools, and scoping and shaping ...

business and the value we want to create. Working closely with the Product Manager, Data Platform and Lead Data Engineer, you’ll use your data management and architecture expertise to design robust, scalable data foundations and structures that support clearly defined business outcomes. You’ll help to translate … business priorities. Support strong data governance by ensuring data structures align with agreed policies, are appropriately catalogued and enable secure and compliant use of first and third-party data. Partner with data science and analytics teams to design environments and structures that support advanced analytics, machine learning ...

capability, we are exploring how emerging technologies, including GenAI, can support the processing and structuring of this data at scale. This includes example use cases such as document enrichment and classification to improve data accessibility for stakeholders. You’ll receive a range of excellent benefits when you join … cloud infrastructure. Working with a range of structured and unstructured data, including text-based data, to support analytical and data science use cases. Using GitHub Actions to automaterepositoryevents. Both ensuring and contributing to standards around engineering. Developing and optimising code,toolsand services that enable people to use ...

pipelines to models, quality and documentation. Once these foundations are in place, ARC expects to develop more advanced analytics and potentially data science use cases. Experience in forecasting, machine learning or AI would be welcome, but is not essential for success in the initial phase of the role. … analytics or data science could add measurable business value. Support appropriate experimentation with statistical modelling, machine learning or AI when the data and business case are ready. Person Specification Experience in a data management, data engineering, data architecture, analytics engineering or BI leadership role, with a track record ...

hands‐on, outcome-focused role combining statistical, data science and analytical expertise with strong commercial curiosity. The Data Scientist will own selected use cases across the full lifecycle—from problem definition, data exploration and feature engineering through to model development, deployment, monitoring and continuous improvement and will … measurable business value. Evaluate model effectiveness and monitoring model drift. Develop and maintain governed, trusted datasets for BI/analytics and data science use cases. Ensure appropriate data quality, lineage and governance controls are considered throughout the analytical lifecycle. Work closely with Data Engineers to ensure data pipelines ...

hands-on, outcome-focused role combining statistical, data science and analytical expertise with strong commercial curiosity. The Data Scientist will own selected use cases across the full lifecycle—from problem definition, data exploration and feature engineering through to model development, deployment, monitoring and continuous improvement—and will … measurable business value. Evaluate model effectiveness and monitor model drift. Develop and maintain governed, trusted datasets for BI/analytics and data science use cases. Ensure appropriate data quality, lineage and governance controls are considered throughout the analytical lifecycle. Work closely with Data Engineers to ensure data pipelines ...

client sites, and your home.Your RoleAI Strategy & Business TransformationPartner with business leaders to identify, prioritize, and develop high-value AI and Generative AI use cases.Translate business challenges into scalable AI solution roadmaps and implementation plans.Drive AI innovation and support enterprise-wide digital transformation initiatives.Develop business cases, success metrics … Responsible AIPromote responsible AI practices, including fairness, transparency, privacy, security, and regulatory compliance.Establish AI governance frameworks, standards, and best practices.Ensure ethical and compliant use of enterprise and customer data. Leadership & Team DevelopmentLead cross-functional teams consisting of AI engineers, data scientists, architects, and business analysts.Mentor team members ...

your home.## Your Role**AI Strategy & Business Transformation*** Partner with business leaders to identify, prioritize, and develop high-value AI and Generative AI use cases.* Translate business challenges into scalable AI solution roadmaps and implementation plans.* Drive AI innovation and support enterprise-wide digital transformation initiatives.* Develop business … responsible AI practices, including fairness, transparency, privacy, security, and regulatory compliance.* Establish AI governance frameworks, standards, and best practices.* Ensure ethical and compliant use of enterprise and customer data.**Leadership & Team Development*** Lead cross-functional teams consisting of AI engineers, data scientists, architects, and business analysts.* Mentor team ...

your home.## Your Role**AI Strategy & Business Transformation*** Partner with business leaders to identify, prioritize, and develop high-value AI and Generative AI use cases.* Translate business challenges into scalable AI solution roadmaps and implementation plans.* Drive AI innovation and support enterprise-wide digital transformation initiatives.* Develop business … responsible AI practices, including fairness, transparency, privacy, security, and regulatory compliance.* Establish AI governance frameworks, standards, and best practices.* Ensure ethical and compliant use of enterprise and customer data.**Leadership & Team Development*** Lead cross-functional teams consisting of AI engineers, data scientists, architects, and business analysts.* Mentor team ...

technologies. The challenge isn't greenfield experimentation; it's building robust production systems, operationalising AI capabilities, improving what exists, and helping teams use data and AI safely, effectively, and at scale. We're particularly interested in engineers who have helped organisations establish the foundations for AI-led development … native data platforms that support analytics, machine learning, and AI workloads Develop robust data pipelines supporting both traditional analytics and AI/ML use cases Work directly with technical and non-technical stakeholders to translate operational problems into scalable data and AI solutions Design data models, integration patterns ...

ability to influence technology strategy across Ratings Technology AI-forward innovation culture - The opportunity to champion responsible AI adoption, identify practical use cases, drive proofs of concept, and help teams translate experimentation into repeatable, trusted ways of working that create measurable business value Continuous learning and career growth … architecture AI adoption leadership - Experience championing AI, generative AI, intelligent automation, or developer productivity tooling in an engineering organization; ability to identify practical use cases, define guardrails, coach peers, measure outcomes, and scale successful practices across teams Leadership trajectory - Experience in principal engineer, tech lead, or architect roles ...

ability to influence technology strategy across Ratings Technology AI-forward innovation culture - The opportunity to champion responsible AI adoption, identify practical use cases, drive proofs of concept, and help teams translate experimentation into repeatable, trusted ways of working that create measurable business value Continuous learning and career growth … architecture AI adoption leadership - Experience championing AI, generative AI, intelligent automation, or developer productivity tooling in an engineering organization; ability to identify practical use cases, define guardrails, coach peers, measure outcomes, and scale successful practices across teams Leadership trajectory - Experience in principal engineer, tech lead, or architect roles ...

transform, and aggregate data from multiple sources Build resilient data products that support lineage, traceability, and trusted analytics for resiliency and recovery risk use cases Develop and evolve logical and physical data models that represent user flows, system dependencies, resiliency signals, and risk measures Translate business, risk … outputs to support explainability and operational decision-making Apply modern architecture patterns to support scalable and, where needed, near real-time data requirements Use structured and non-relational database technologies to optimize performance and operational stability Embed engineering best practices such as version control, automated testing, code review ...

into scalable technical designs and well-defined data products. Provide trusted Gold-layer datasets and semantic-ready structures for BI, ML and AI use cases. Identify and deliver improvements to engineering standards, automation, deployment practices and platform efficiency. Evaluate new Microsoft Fabric capabilities and recommend adoption where they … Experience translating business requirements into technical solutions and working with analysts, developers, data owners and stakeholders. Experience supporting Power BI, analytics or AI use cases and helping a growing data function establish engineering standards. What's in it for you Competitive salary Holiday allowance starting at 26 days ...

into scalable technical designs and well-defined data products. Provide trusted Gold-layer datasets and semantic-ready structures for BI, ML and AI use cases. Identify and deliver improvements to engineering standards, automation, deployment practices and platform efficiency. Evaluate new Microsoft Fabric capabilities and recommend adoption where they … Experience translating business requirements into technical solutions and working with analysts, developers, data owners and stakeholders. Experience supporting Power BI, analytics or AI use cases and helping a growing data function establish engineering standards. What's in it for you Competitive salary Holiday allowance starting at 26 days ...

value of the Databricks architecture for AI and agentic workflows. Lead the design and implementation of high-profile, high-value agentic AI use cases on Databricks, leveraging Databricks Agent Framework, AgentBricks, and other Databricks AI capabilities to accelerate production adoption and deliver measurable business outcomes. Drive agentic … technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical use-cases. Establish and refine the sales qualification and POC intake process, ensuring well-scoped engagements that maximize customer success and minimize friction ...

Delivery, taking ownership of the day-to-day execution and coordination of data science and AI delivery across strategic projects and standalone use cases. You will play a hands-on leadership role — driving technical delivery, managing workstreams, and stepping in for the Head of when required. This … Oversight & Contribution: Provide technical guidance on solution design, model selection, and architecture decisions, ensuring the team is taking the right approach for each use case. Review code and technical outputs to maintain quality standards, and contribute hands‐on to Python-based development when needed, particularly during critical delivery ...

Role Want to help turn AI opportunities into real business value? As AI Deployment Lead, you’ll manage Sonnedix’s portfolio of AI use cases from initial request through delivery and into production. Working directly with business subject matter experts, you’ll shape opportunities into clearly defined pieces … portfolio based on value, cost and feasibility. You’ll work closely with the Forward Deployed Engineering team to prepare each use case for delivery, making sure the right business ownership, data and governance are in place. After launch, you’ll monitor adoption and value, support training ...

tooling, and appropriate low-code platforms. Explore and profile data to understand quality, coverage, structure, limitations, and suitability for the intended use case. Use prototypes to test product concepts with users, expose assumptions, and generate evidence before significant engineering investment. Work with data engineers, architects, analysts … with data-engineering and architecture teams. Experience integrating generative AI or machine learning into business products. Familiarity with regulated environments and the responsible use of commercially sensitive data. Guidant, Carbon60, Lorien & SRG - The Vertage Group Portfolio are acting as an Employment Business in relation to this vacancy. ...

primarily Epic Systems) and also integrates with ancillary systems (PACS, web portals, etc.). 2026 reality: each customer will have ~10+ use cases , many are net-new and variable. What You’ll Do This person will independently own the customer lifecycle across multiple use cases: Discovery … FHIR app (OAuth2 background user, security points, etc.); guide SMART on FHIR where relevant. Writebacks: implement best writeback channel per use case (FHIR create APIs, HL7 Z-segments, portal APIs, SMART workflows). Execution: build and enforce plan, manage risks/dependencies, drive internal engineering + customer ...

Pipeline creation is yours to own. Lead enterprise sales cycles end to end. Run complex, multi-threaded deals from first conversation through discovery, business case, security and procurement review, negotiation, and close. Sell across the C-suite. Engage General Counsel, Chief Procurement Officers, CFOs, and CIOs/CAIOs, often … concept that prove value quickly, even in organizations with messy data or legacy ERP environments. Land and expand. Win an initial use case in one function and grow it across Legal, Procurement, and Finance into a platform relationship. Work the ecosystem. Collaborate with strategic partners, including global ...

than aligned to a specific site) but will utilise site insight to validate value and feasibility, then standardises integration patterns, data models, AI-use cases and deployment … approaches for re-use across products, sites and external partners. The role leads end-to-end outcomes from opportunity shaping and business case through design, delivery, adoption, transition to service and value realisation. Key Responsibilities (include..,): Lead the global External Manufacturing digital & technology roadmap, aligning CMC/ ...