1 to 25 of 1,278 Permanent Use Case Jobs

bridge between legal professionals, product teams, and technologists. You’ll help translate real-world legal practices into digital workflows, optimizing how lawyers and firms leverage AI-driven tools for case management, billing, and client engagement. Key Responsibilities Stakeholder Engagement Conduct workshops, interviews, and surveys with legal staff and practice managers to understand current processes, challenges, and user needs. Requirement … Gathering & Analysis Elicit and document detailed requirements (functional, non-functional, system integrations) and map them to use cases, journeys, and workflows specific to legal matter handling, CRM, and billing processes. Process Modelling Develop current & future state process flows (e.g., client matter onboarding, fee estimation, document lifecycle) and propose improvements leveraging Tsuro’s low-code solution. Solution Design & Validation … years’ experience as a BA or Product Analyst in SaaS, especially legal tech, legal services, or professional services domains. Proven track record of translating legal workflows (e.g., client onboarding, case management, billing) into digital solutions. Strong process modelling skills (BPMN or equivalent). Excellent communication and stakeholder management, especially with end?users like lawyers, paralegals, and business managers. Experience More ❯

research, architecture, and design development across the innovations portfolio, and analyze government customer requirements to develop system requirements specifications. Perform data gathering, requirements definition and analysis, use case development, gap analysis, dependency analysis and management, develop functional and design specifications, and provide measurable input to new solutions, processes, or standards to achieve functional/project objectives. Facilitate More ❯

Prefect or cloud-native tools Backend software development (Java, APIs, Scalability, Logging and Monitoring etc.) MLFlow and other MLOps/Machine Learning Engineering processes to support advanced analytical use cases LLMs and Agentic AI BI tools such as Tableau/Power BI Other desirable skills and experience Strong stakeholder management Ability to act as a senior mentor and More ❯

and tools like AI Foundry, Copilot Studio, Vertex AI Studio, and Databricks Mosaic AI. • Design and deploy AI/ML models and LLM-powered applications to support business use cases and enhance decision-making. • Integrate AI/ML models and LLM capabilities into BI platforms to enable natural language querying, automated insights, and conversational analytics. • Evaluate and optimize More ❯

to work comfortably using SQL, BI Tools (e.g. Quicksight/Tableau/PowerBI), and scripting languages (e.g. Python). Additionally, experience with designing data schemas for specific reporting use cases will be very valuable in this role. Key job responsibilities • Organization skills - demonstrated ability to work independently to make complex investigations, have self-discipline and motivation, follow best … Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally More ❯

growth mindset needed to build a successful team A strong customer centric mindset especially within an internal customer base with the purpose of driving value creation, adoption and use … Strategic thinking, problem solving and innovation, with the ability to anticipate and navigate challenges and opportunities. Ensure compliance with analytics standards, including tailoring methodologies to specific use case needs such as ML, AI, and descriptive analytics. Ability to translate business needs into analytical frameworks & superior verbal and written communication skills Working understanding of ML Ops and DevOps More ❯

identify suspicious activity. Security Tool Management: Manage and optimise SIEM tools, ensuring they are properly configured and updated to maximize effectiveness. Own the development and implementation of SOC Use Cases Evaluate new security technologies and recommend enhancements to the security infrastructure. Collaboration: Collaborate with cross-functional teams, including IT, legal, and management, to address security incidents and implement More ❯

identify suspicious activity. Security Tool Management: Manage and optimise SIEM tools, ensuring they are properly configured and updated to maximize effectiveness. Own the development and implementation of SOC Use Cases Evaluate new security technologies and recommend enhancements to the security infrastructure. Collaboration: Collaborate with cross-functional teams, including IT, legal, and management, to address security incidents and implement More ❯

stakeholders. 5. Data Requirements Work with internal and customer teams to define precise data requirements Ensure data collection and modelling approaches align with key business objectives and analytical use cases. 6. Data Capture Perform data wrangling and data mining to prepare high-quality datasets for advanced modelling and analysis Proactively identify and resolve data capture issues, collaborating with More ❯

Our data engineers create pipelines that support our data scientists and power our front-end applications. This means we do data-intensive work for both OLTP and OLAP use cases. Our environments are primarily cloud-native spanning AWS, Azure and GCP, but we also work on systems running self-hosted open source services exclusively. We strive towards a More ❯

agile tool), ensuring timely and high-quality deliverables. Advanced knowledge of state-of-the-art algorithms, with a demonstrated ability to match technique selection to complex domain-specific use cases. Demonstrated capability to optimize models for performance, scalability, and low latency in production settings, employing rigorous testing and iterative improvements. Experience leading or mentoring technical teams, providing guidance More ❯

intersection of business needs and cutting-edge AI technologies, collaborating with multidisciplinary teams to turn complex challenges into smart, efficient solutions. YOUR TASKS: Develop end-to-end AI use cases, from business understanding to solution deployment. Quickly prototype AI-driven scenarios and user-facing features. Engineer effective prompts to optimize AI agent behavior and performance. Collaborate closely with … for AI projects. Stay up to date with AI and machine learning trends, experiment with emerging techniques, and incorporate relevant advancements into your projects. Contribute to use case definition in a co-creation mode with business and product stakeholders. HOW WE IMAGINE OUR FUTURE CONSULTANT? You hold at least a Bachelor's degree in Computer Science, Engineering More ❯

legacy suite of cloud-based applications used by the Intelligence Community Chief Financial Officer to produce the annual budget. Responsibilities Work with end users to produce data analytics use cases based on business processes Support COTS product tailoring to demonstrate how use cases can be satisfied Provide hands on end user COTS support and mentoring. Become … Technical field (i.e. Computer Science, Software Engineering), or equivalent experience and minimum of 7 years of related work experience Desired: Experience tailoring data management products to meet defined use cases Experience implementing and deploying databases in Amazon Web Services (AWS)? Experienced with optimizing database performance through exhaustive proactive testing and ongoing real-time monitoring? Experienced in SQL scripting More ❯

build buy-in and support, lead engagement with key external stakeholders, including MoD, Government, DAIC Implementation Roadmap : Creating a detailed roadmap for AI adoption across a range of use cases, including timelines, necessary infrastructure, tools, and personnel Identifying Use Cases : Collaborating with business leaders to uncover and prioritize AI use cases with high business More ❯

build buy-in and support, lead engagement with key external stakeholders, including MoD, Government, DAIC Implementation Roadmap : Creating a detailed roadmap for AI adoption across a range of use cases, including timelines, necessary infrastructure, tools, and personnel Identifying Use Cases : Collaborating with business leaders to uncover and prioritize AI use cases with high business More ❯

needed. Build and maintain strong relationships with customers, understanding their business challenges and providing tailored solutions. Data Science Expertise: Apply diverse data science techniques across multiple industries and use cases, including machine learning, data visualization, natural language processing (NLP), application development (e.g. Shiny), MLOps, and generative AI (GenAI). Develop and deploy advanced data science models and algorithms … Skills and Experience 5+ years of Data Science experience; Proficient in Python, R and SQL; Proven track record of applying diverse data science techniques across multiple industries and use cases; Experienced in leading and managing large customer engagements; Experienced in deploying workloads on Cloud infrastructure; Familiar with software development best practices; Extensive experience in machine learning, data visualisation More ❯

documentation. Execute Business Process Modelling (BPM). Execute Brainstorming and context diagramming with technical team members, system users, and other stakeholders. Work with developers and testers to write use cases. Facilitate working sessions with the technical team and/or stakeholders to understand gaps and requirements. Apply analytical techniques to gather information from users, define work problems, and … documentation. Experience working in an AWS Cloud environment and an understanding of AWS native tools. Experience working in Web Applications and vetting and documenting requirements for Web specific use cases and experience flows. Proven work experience as a business analyst or Product Owner. Education/Skills/Experience Requirements: Minimum of a Bachelor's degree in Computer Science More ❯

members, with 120 focused on business operations and 60 on IS and Data. Role Overview: In this role, you will join our "Data Team" to work on various use cases related to our Data Platform, including Financial Closing reports, Customer Business Reporting, Green Energy Reporting, and regulatory reporting. Key Responsibilities: Serve as a bridge between product owners, internal … Plan, organize, and execute functional testing, creating concrete test plans and participating in test execution. Tackle complex analytical challenges and provide data-driven insights to support business decisions. Use tools like SQL, Dataiku, and Python to gather and manipulate data. Create reports and visualizations using Power BI to communicate findings effectively. Prepare data products for transition to the More ❯

to support audience segmentation, personalization, channel optimization, lead scoring, and campaign measurement. Collaborative Development: Work closely with marketing strategists, data analysts, data engineers, and product owners to define use cases and deliver scalable solutions. Model Deployment & Monitoring: Deploy models using MLOps practices and tools (e.g., MLflow, Airflow, Docker, cloud platforms) ensuring performance, reliability, and governance compliance. Innovation & Research … Stay current on advancements in AI/ML and proactively bring forward new ideas, frameworks, and techniques that can be applied to marketing use cases. Data Strategy: Collaborate with data engineering teams to ensure the availability of clean, structured, and enriched data pipelines required for model training and inference. Required Qualifications Bachelor’s or Master’s degree in More ❯

Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications More ❯

Create & maintain data pipelines using Airflow & Snowflake as primary tools Create SQL Stored procs to perform complex transformation Understand data requirements and design optimal pipelines to fulfil the use-cases Creating logical & physical data models to ensure data integrity is maintained CI CD pipeline creation & automation using GIT & GIT Actions Tuning and optimizing data processes Qualifications Required Qualifications More ❯

a subject matter expert (SME) for the baseline, with the ability to communicate the system's features, architecture, roadmap, and limitations to a variety of audiences • Decompose requirements, use cases, and need statements into epics and features with clearly defined acceptance criteria that will be assigned to agile development teams • Take part in the migration of a legacy More ❯

you will work closely with our public sector clients and project teams to develop and implement data engineering pipelines to support data science and business/mission intelligence use cases. Key Responsibilities Assessing your clients' technical needs and understanding how their needs are different to wants and managing clients' stakeholders relationship appropriately Identifying data sources, data extraction, transformation More ❯

Enhancement: Design and oversee the implementation of the PDP 2.0 Tech stack. Design and oversee data architecture to harmonise external, internal and Microsoft Graph data to deliver AI use cases Champion engineering standards and ensure new engineers' quick integration and productivity. Lead engineering problem solving and provide technical guidance to squad engineers. Foster a component based delivery approach More ❯

the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestrating other focused/specialised teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build … You will report directly to a DSA Manager within the Field Engineering organisation. The impact you will have: Engage with Solutions Architects to understand the full use case demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks use cases within our most strategic … and operational governance Provide internal and external updates - KPI reporting on the status of usage and customer health, covering investment status, important risks, product adoption and use case progression - to your Technical GM What we look for: Extensive experience where you have been accountable for technical project/program delivery within the domain of Data and AI More ❯