476 to 500 of 710 Remote/Hybrid Use Case Jobs

regular part of the job. The role regularly evaluates and demonstrates Alteryx capabilities for AI-driven workflows and AI/ML use cases. Its broader focus also includes analytics, automation, cloud platforms, and technical sales.## Full descriptionMeet the Moment with AlteryxWe're living through a once … opportunity strategy for complex deals.• While the primary emphasis is on new logo acquisition, support expansion opportunities within existing customers by identifying additional use cases, mapping customer pain points to Alteryx capabilities, and helping account teams drive broader platform adoption where appropriate.• Stay current on Alteryx products, competitive ...

conclusions using appropriate formats, including data visualisations and reports* Support architecture and technical delivery teams to ensure data products meet business requirements* Use **agile delivery methodologies**, leveraging **Azure DevOps** to manage user stories, tasks, dependencies, risks, and issues* Perform end-to-end analytical activities including data discovery, profiling … multidisciplinary teams*** Proven ability to analyse complex business processes and identify data gaps using structured techniques (e.g. As-Is/To-Be, swimlanes, use cases, decision modelling)* Strong experience performing end-to-end analytical work, including data discovery, validation, analysis, and communication* Working knowledge of **SQL**, sufficient ...

Management) Business Analyst acts as a key bridge between the Business and IT by translating Business needs into detailed requirements and technology-enabled use cases. They develop a deep understanding of the opportunities, risks, and issues facing the Business, and advise on how technology solutions can be used … addressed by technology. Experience in analysing business challenges using structured frameworks and methodologies. Strong analytical and problem-solving skills for developing technology-enabled use cases and analysing Business needs. Experience in modelling system processes; knowledge of common notational standards is beneficial (e.g., BPMN). Able to design ...

Management) Business Analyst acts as a key bridge between the Business and IT by translating Business needs into detailed requirements and technology-enabled use cases. They develop a deep understanding of the opportunities, risks, and issues facing the Business, and advise on how technology solutions can be used … addressed by technology. Experience in analysing business challenges using structured frameworks and methodologies. Strong analytical and problem-solving skills for developing technology-enabled use cases and analysing Business needs. Experience in modelling system processes; knowledge of common notational standards is beneficial (e.g., BPMN). Able to design ...

crypto transactions card spends Optimize list sources for sanctions, PEP and adverse media aligned with Ebury’s different compliance frameworks and risk appetite. Use data and research to identify pain points, improve fuzziness scores. Leverage AI to improve screening precision, including risk-based matching, prioritization and alert scoring … have: Bachelor’s degree in Engineering, or a related technical field. Nice to have: Experience building platforms that serve both B2B and B2B2C use cases. What success looks like Screening controls that scale across products, volumes, and geographies. Measurable reduction in false positives without increased regulatory risk. High ...

make it more efficient. Help shape how machine learning engineering is done at PureGym, creating patterns and standards that can scale as our use of ML grows. The Person You’re an engineer who enjoys the challenge of making machine learning work reliably in the real world. … supporting them once live. Experience with MLflow or similar model lifecycle tooling, including deploying models for batch and/or near real-time use cases. Experience building or working with CI/CD pipelines, for example GitHub Actions or Azure DevOps. The ability to communicate clearly with both ...

successful delivery of platform capabilities.* Help define the platform capabilities, data foundations, customer experiences, and workflows required to support multiple products and future use cases.* Identify opportunities to use AI, data, and modern platform capabilities to transform customer workflows and decision-making.* Bring customer insight, market … formal authority. + Partner with Commercial, Marketing, Operations, and customer-facing teams on launch, enablement, adoption, and go-to-market plans. + Use customer research, product analytics, adoption data, support insights, and commercial results to assess performance and guide future investment. + Connect product decisions to measurable customer ...

purely governance‐focused project management role. The successful candidate will be comfortable working directly with AI tools, developing and refining prompts, testing use cases, supporting rapid prototyping, and translating business needs into practical solutions. The role will manage a portfolio of AI‐driven projects, Proofs of Concept (POCs … Inspection and Certification (TIC) industry is strongly preferred, as it would support a faster understanding of Business Assurance processes, audit workflows, and operational use cases. Our Strategic Pillars Operational Efficiency Customised Audit Each pillar is led by a dedicated IT Manager responsible for delivery within their area. This ...

know our name, but companies like eBay, Spotify, Klarna, Uber, and Sony do, because we’re behind many of the digital experiences you use every day. We are where the world checks out, enabling over 10 billion transactions yearly for more than one billion global shoppers. Whether … shaping the future of fintech – and we’re just getting started. There are a myriad of opportunities to use AI/ML as part of business processes in checkout, and we’re looking for an expert to help us make these a reality. Unlike many such roles, this ...

execution. This role is responsible for overseeing Novartis' strategic rare disease data partnerships within SPT to ensure compliance, quality, business relevance, and effective use of external data assets. The Associate Director will bring depth in healthcare and rare disease data, including experience working with or for a data … organization's rare disease data partnership strategy, including the identification of critical data needs across US Commercial rare disease brands, functions, and priority use cases. Establish, manage, and strengthen strategic rare disease data partnerships with external data providers, platforms, and vendors to maximize the value of external rare ...

customer experience. Partner with Marketing, CRM Marketing, Sales, Operations, IT, Compliance, vendors, and other stakeholders to translate business needs into technical requirements, workflows, use cases, user stories, and acceptance criteria-and to enable targeted, integrated campaigns through effective use of customer data, tracking, preference management ...

third-party solutions. You will develop the AI team and work with suppliers, partners and the wider pensions industry to advance the use of AI. A bit about us: Local Pensions Partnership Administration (LPPA) is a multi-award-winning organisation and one of the UKs leading pension administration … clear AI implementation pipeline, assessing potential value, feasibility, risk and resource requirements. - Drive AI adoption, training and awareness across LPPA, supporting colleagues to use AI tools confidently, safely and effectively. - Oversee AI capability within existing and future software solutions, including Microsoft Copilot, Civica UPM, UiPath ...

applications. Generative AI Engineer Role Overview As a Generative AI Engineer, you will work on the development of practical AI solutions that use large language models, retrieval-augmented generation, AI agents, automation, and intelligent search. You will help move AI use cases from prototype into production ...

quality and accountability across strategic data domains, helping ensure that data is trusted, discoverable, reusable and fit for operational, analytical and AI-driven use cases. You will work across business and technology teams to strengthen governance practices, improve data quality and advance data product adoption. Your contributions will … joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at our client. Guidance on AI use for candidates Here, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. ...

quality and accountability across strategic data domains, helping ensure that data is trusted, discoverable, reusable and fit for operational, analytical and AI-driven use cases. You will work across business and technology teams to strengthen governance practices, improve data quality and advance data product adoption. Your contributions will … joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at our client. Guidance on AI use for candidates Here, AI has long been part of how we work enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. ...

quality and accountability across strategic data domains, helping ensure that data is trusted, discoverable, reusable and fit for operational, analytical and AI-driven use cases. You will work across business and technology teams to strengthen governance practices, improve data quality and advance data product adoption. Your contributions will … joiner, you can count on this hybrid model to accelerate your learning and onboarding experience here at our client. Guidance on AI use for candidates Here, AI has long been part of how we work – enhancing decision-making, improving operations, and helping us deliver better outcomes for clients. ...

roadmap. Working across business units, you will define target architectures, orchestrate AI components, and create reusable patterns that accelerate delivery of high-value use cases. Your work will directly influence how AI is embedded into the data, knowledge and process layers of the enterprise, ensuring solutions are robust … layers, covering internal business processes, reporting, frontline operations and customer experience. Design and deliver proof-of-concept AI solutions that validate target architectures, use cases and reusable patterns at enterprise scale. Define and document AI solution blueprints, including integration patterns for APIs, microservices, orchestration and cloud-native components. ...

will be responsible for leading the full AI delivery lifecycle across enterprise transformation programmes. This includes defining AI strategy, identifying high-value use cases, designing governance frameworks, overseeing implementation, and ensuring successful business adoption. The role will suit someone who can combine strategic AI leadership with practical delivery … GenAI delivery programmes from strategy to implementation. Define AI adoption roadmaps, business cases, delivery plans, and governance models. Identify and shape AI use cases across enterprise automation, predictive analytics, document intelligence, compliance monitoring, fraud detection, payments, lending, customer service, and workflow optimisation. Oversee the delivery ...

with Data Science leadership, engineers, analysts, and business stakeholders to develop and deploy machine learning solutions across a range of customer and commercial use cases. Responsibilities include: Building, validating, and deploying predictive and machine learning models Developing customer segmentation and customer lifetime value models Supporting forecasting initiatives … improve commercial planning Delivering targeted customer and personalisation use cases Working across the full Data Science lifecycle from problem definition through to production deployment Collaborating with technical and non-technical stakeholders to translate business challenges into analytical solutions Contributing to the development of a scalable Data Science platform ...

enabled capabilities, understanding how these technologies deliver value to project centric businesses. Stay informed about emerging project technologies, industry trends, value drivers, operational use cases and best practices. Participate in internal enablement, training and certification programs, contributing knowledge and best practice back into the team. Technical Expertise Respond … RFXs, scope projects, and support proposal development Configuring software for customer specific demonstrations and use cases Contribute to team development initiatives and continuous improvement activities Industry Thought Leadership Actively participate in internal and external industry forums focused on project management, project delivery and professional services Translate emerging market ...

enabled capabilities, understanding how these technologies deliver value to project centric businesses. Stay informed about emerging project technologies, industry trends, value drivers, operational use cases and best practices. Participate in internal enablement, training and certification programs, contributing knowledge and best practice back into the team. Technical Expertise Respond … RFXs, scope projects, and support proposal development Configuring software for customer specific demonstrations and use cases Contribute to team development initiatives and continuous improvement activities Industry Thought Leadership Actively participate in internal and external industry forums focused on project management, project delivery and professional services Translate emerging market ...

experienced AI & Data Engineer to work across the Balance Sheet Modelling, Data and AI Working Groups. You will be responsible for turning business use cases into scalable, production-ready AI and data solutions. This will include building AI agents, developing RAG capabilities, automating workflows and creating data products … Responsibilities Design and build production-ready AI agents and agentic workflows. Develop RAG solutions and AI-powered applications. Translate business requirements and use cases into scalable technical solutions. Build and maintain data pipelines and reusable data components. Develop balance sheet modelling data products and supporting integrations. Build workflow ...

that platform. This is a genuinely full-stack role: you'll own applications end-to-end, the interfaces chemists and operations staff use every day, the services behind them, and the data pipelines that feed them. The platform spans seven domains, chemical identity and registration, chemical safety, inventory … abstractions you choose will outlive the code. Data pipelines and orchestration. Dagster pipelines feeding a versioned data lake and a warehouse serving multiple use cases, with the reproducibility and governance that scientific data demands. Reconciling sources that disagree. External datasets, vendor systems, and instruments that each claim ...

drive measurable business value from AI investments by partnering with business, Finance, and the AI CoE to develop, evaluate, and track AI use cases. You will document value assumptions, estimate benefits, and report realized outcomes to guide prioritization and governance. You help move AI initiatives from experimentation … benefits such as productivity gains, cost avoidance, cost reduction, revenue impact, and risk mitigation Apply ROI frameworks and benefit-calculation methodologies to evaluate use cases Prioritize AI opportunities based on alignment, value, feasibility, and effort Track realized benefits against original commitments Collect, analyze, and validate data for value ...

development, CMC (all drug modalities), or product quality testing. Proven track record of defining, designing, prototyping, and implementing productized AI/ML-driven use cases in cloud environments Collaborated with cross-functional teams, including product managers, software engineers, and scientific stakeholders. Performed extensive exploratory data analysis and workflow … data challenges and requirements, and accelerating solutions. Design and implement extensible, reusable data models that efficiently capture and organize scientific data for scientific use cases, ensuring scalability and future adaptability. Translate scientific data workflows into robust solutions leveraging the Tetra Data Platform. Own, scope, prototype, and implement solutions ...