1 to 25 of 319 Acceptance Criteria Jobs in the UK

concept) and validate solutions through iterative experimentation. Requirements & Design Convert business and technical needs into well-formed epics, features, and user stories with clear acceptance criteria. Apply UX principles to define intuitive workflows and interfaces; produce wireframes and low-fi mockups to align teams quickly. Collaborate with architects … reviews, and retrospectives ; ensure commitments tie to outcomes. Quality, Testing & Release Readiness Champion quality from the start, collaborating with QA/engineers to define Acceptance Criteria and Acceptance Tests (BDD). Support automated testing strategies (unit, integration, contract, end-to-end), test data readiness, and release validation. ...

workshops across policy, operations, and technology teams to define target-state processes and business outcomes. Produce high-quality artefacts including process maps, user stories, acceptance criteria, and traceability matrices. Support solution validation, UAT, and implementation planning while ensuring alignment to compliance, risk, and governance frameworks. Required Skills: Strong … requirements engineering skills, including user stories, acceptance criteria, process modelling, and data analysis. Experience working within highly regulated financial environments, with knowledge of risk, compliance, and governance frameworks. Excellent stakeholder management, facilitation, and communication skills across technology, operations, and policy functions. Proficient in BA tooling such as JIRA ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...

workflows, pain points, and desired outcomes; translate those into product requirements. Work with engineering/data/AI teams to specify features (user stories, acceptance criteria, dependencies), prioritise backlog, and drive delivery. Define success metrics (e.g., user-onboarding time, visibility of third-party entities, risk-score accuracy, time … third-party intelligence or adjacent domains). Strong understanding of product management practices: roadmap planning, prioritisation frameworks (e.g., RICE, MoSCoW), writing user stories/acceptance criteria, working with agile/scrum teams. Ability to translate complex technical concepts (AI risk scoring, graph visualisations, threat intelligence) into user-driven ...