London, England, United Kingdom Hybrid / WFH Options
Cognitive Group | Part of the Focus Cloud Group
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 usecases, 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 ❯
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 usecases 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 usecase 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 UseCases 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 UseCases 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 ❯
to support the evolution of enterprise modern cloud data platform used for ingesting and processing large volumes of streaming and batch data sets to support analytical and AI use-case. As a key interface between the technical and business stakeholders, you will be responsible for translating data engineering, architectural and analytical requirements into detailed, actionable user stories with 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 ❯
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 usecases, including timelines, necessary infrastructure, tools, and personnel Identifying UseCases : Collaborating with business leaders to uncover and prioritize AI usecases 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 usecases, including timelines, necessary infrastructure, tools, and personnel Identifying UseCases : Collaborating with business leaders to uncover and prioritize AI usecases 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 usecases, including timelines, necessary infrastructure, tools, and personnel Identifying UseCases : Collaborating with business leaders to uncover and prioritize AI usecases 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 usecases, including timelines, necessary infrastructure, tools, and personnel Identifying UseCases : Collaborating with business leaders to uncover and prioritize AI usecases with high business 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 usecases 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 ❯
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 usecases 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 ❯
AI systems Translating technical jargon and complex IT risks into business language is a must Support the business and IT stakeholders in completing risk assessments for their AI use case. Conduct in-depth technical assessments of AI solutions to identify security risks. Develop threat models for AI systems to anticipate and account for potential impacts due to misuse More ❯
AI systems Translating technical jargon and complex IT risks into business language is a must Support the business and IT stakeholders in completing risk assessments for their AI use case. Conduct in-depth technical assessments of AI solutions to identify security risks. Develop threat models for AI systems to anticipate and account for potential impacts due to misuse 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 usecases 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 usecase demand plan for prioritised customers Lead the post-technical win technical account strategy and execution plan for the majority of Databricks usecases 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 usecase 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 ❯
business and system requirements. Ensures traceability of requirements and manages change through the project lifecycle. Conducts gap and defect analysis, identifying areas for product or process enhancement. Produces usecases, process maps, and other supporting documentation to guide project delivery. Supports the transition of completed projects into Business-as-Usual operations. Collaborates with senior analysts to identify and … experience in a Business Analyst role – Software and Service Delivery Financial services experience, especially in mortgages, lending, or investment products. Strong background in process mapping and usecase development. Degree-level education or equivalent practical experience. BCS Business Analysis certification. Understanding of project management principles and tools. Experience with both Agile and Waterfall project methodologies. More ❯
organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. UseCase Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and … execution, especially in financial contexts. Experience with compliance governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance usecases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible More ❯
organizations, and investment banks. Client Engagement: Build and maintain strong client relationships, understanding their compliance needs and delivering tailored solutions using advanced analytics and AI frameworks. UseCase Identification: Identify innovative applications of analytics and AI in financial crime prevention and compliance, such as Anti-Money Laundering (AML), Know Your Customer (KYC), Fraud Detection, Regulatory Reporting, and … execution, especially in financial contexts. Experience with compliance governance, ethical considerations, and ensuring adherence to financial regulations. Financial Crime and Compliance Expertise: Skilled at identifying and articulating compliance usecases in banking and insurance (e.g., AML, KYC, fraud detection, and regulatory reporting). Business Impact: Proven ability to build business cases and value models that demonstrate the tangible More ❯
About the Role: Grade Level (for internal use): 08 Position Summary: Are you eager to start your career in product management within a supportive and innovative team? We are seeking a motivated and detail-oriented Associate Product Specialist to join our dynamic EDM (Enterprise Data Management) Product Strategy Team in London. This is an exciting entry-level opportunity … and a collaborative team player. Analytical mindset with an attention to detail. Familiarity with or willingness to learn business analysis techniques (e.g., how to identify gaps, usecase modelling). Experience with or aptitude to quickly learn tools like Azure DevOps (ADO), Confluence, or SharePoint. Any exposure to data querying languages like SQL is a bonus, but More ❯
you'll be doing Design, develop and deploy scalable web applications and services, being part of everything from contributing to web technology and framework stack, to usecase and data model design Drive architecture discussions, take ownership and responsibility over new projects, and deliver high quality software with tight timeline Partner with security and compliance teams to More ❯
Learn more at insightsoftware.com Job Description We are seeking an experienced Power BI Business Analyst to work closely with clients, understanding their business needs and translating them into usecases that can be implemented using Power ON. Power ON extends Power BI's functionality by providing write back capability. This role involves engaging with stakeholders to scope and … define usecases, estimate implementation efforts, and deliver robust Power ON solutions that drive business insights and decision-making. The ideal candidate will have a strong mix of business acumen, technical expertise, and excellent communication skills. Key Responsibilities: Client Engagement & Business Analysis Engage with business stakeholders to understand their reporting, analytics, and data visualization needs Conduct discovery workshops … to gather requirements, define usecases, and assess data sources Translate business requirements into clear functional and technical specifications Provide recommendations on Power ON best practices, governance, and adoption strategies. Solution Design & Implementation Design scalable and efficient Power ON solutions, including data models, dashboards, and reports Develop datasets, measures (DAX), and visuals to support business insights Maintain data More ❯