1 to 25 of 288 Permanent User Stories Jobs in England

will require 2 product analysts on each programme. Key responsibilities include; Conducting Analysis to support the development of requirements/user stories Writing the requirements/User Stories Documenting Acceptance Criteria Supporting Testing of user stories Supporting queries ...

requirements. You’ll work closely with business stakeholders, Delivery Managers, Senior Business Analysts and your development team to shape and refine user stories for both large-scale projects and smaller enhancements. Your insights will help ensure that every development delivers real value to end users. … Facilitate workshops to support requirements gathering and product backlog creation · Apply a range of techniques to create, refine, split, and map user stories · Collaborate with cross-functional teams to ensure clarity and alignment on requirements · Support Agile delivery through active participation in ceremonies and sprint planning ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...

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 … 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 ...