- Страна
- Великобритания
- Зарплата
- 89 000 ₽ – 120 000 ₽
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Research Knowledge Manager
Отличное предложение для специалистов по Knowledge Management: высокая зарплата, работа в топовом финтехе и возможность внедрять инновации (AI). Ограничением является только временный характер контракта (12 месяцев).
Сложность вакансии
Роль требует редкого сочетания навыков библиотечного дела, управления знаниями и понимания специфики UX-исследований. Высокая планка обусловлена необходимостью внедрения изменений в крупной организации и работы с ИИ-инструментами.
Анализ зарплаты
Предлагаемая зарплата (£89k - £120k) находится на верхней границе рыночного диапазона для специалистов по управлению знаниями в Лондоне, особенно для контрактных ролей (FTC). Это отражает высокую значимость роли и требования к техническим навыкам (AI/Automation).
Сопроводительное письмо
I am writing to express my strong interest in the Research Knowledge Manager position at Monzo. With a background in information architecture and a deep understanding of user research workflows, I am excited by the opportunity to help Monzo transition from simply storing data to proactively surfacing insights that drive product strategy. My experience in managing unstructured data and implementing scalable taxonomies aligns perfectly with your goal of strengthening Monzo’s 'knowledge building muscle'.
In my previous roles, I have successfully automated knowledge workflows and integrated diverse data streams to ensure that insights remain accessible and actionable as organizations scale. I am particularly impressed by Monzo's forward-thinking approach to leveraging LLMs and generative AI for knowledge management. I am confident that my technical expertise in repository structures, combined with my ability to foster a culture of shared understanding, will allow me to deliver a robust operating model that serves both the research team and the wider organization during this 12-month FTC.
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Присоединяйтесь к Monzo, чтобы переосмыслить работу с исследовательскими данными в одном из самых инновационных финтехов Великобритании!
Описание вакансии
📍London/Cardiff/UK Remote | 💰£89,000 - £120,000 DOE + Benefits
FYI This is a 12 month FTC role.
The Monzo research team wants to change the game when it comes to finding what we already know, proactively surfacing what we should know, and detecting emerging themes we ought to explore.We’re looking for a strategic knowledge manager who can work with us to strengthen our knowledge building muscle as Monzo continues to expand.
⭐Our research team...
The Monzo research team is currently made up of around 30 User Researchers, who spend most of their time embedded in multi-discipline teams focusing on different areas, like Wealth products, or Borrowing products. We also have a growing research leadership team. You’ll work closely with our Research Operations Lead to futureproof the impact Monzo’s research has on product development and overall company direction as we scale. While the tooling and technical data management aspects of this project are key, the scope extends into the cultural and community aspects of enabling all of Monzo to get more out of our existing insights and data.
🔑You’ll play a key role by…
- Evaluating our research knowledge estate thoroughly (from the raw data, qual and quant, to reports and literature reviews) including relevant tooling and repositories, and how research is used across the organisation
- Identifying an operating model for research knowledge management at Monzo that will scale and meet identified user needs
- Creating the conditions for this model to be successful now and in future (scaling across markets, as well as growth and future needs)
- Defining how the data should be structured and catalogued to make it reusable and referenceable (including but not limited to metadata, taxonomies, etc)
- Defining a plan to update existing data
- Identifying and setting up tooling and/or integrations as needed
- Defining the rituals and cadences for building shared understanding
- Implementing the knowledge management operating model - launching and supporting, training all users, iterating based on initial feedback
- Futureproofing - setting up required rituals and checks for maintenance and updates
- Handing the system over to the research team - identifying and empowering champion users to not only maintain the system but also to use it to promote research insights, make connections, and engage with stakeholders to surface relevant research - an amplifier role that becomes especially critical in planning cycles
🤩 We’d love to hear from you if…
- You’re familiar with / have worked with user research or market research teams, and existing research repository structures and tooling
- You’ve worked as an archivist, librarian, knowledge manager, content designer or information architect - you’re adept at managing unstructured data, making sense of any mess
- You’ve got demonstrable experience in automating knowledge workflows, integrating data streams
- Experienced with leveraging LLMs and generative AI in structuring and surfacing knowledge
- Excellent analytical and communication skills
- Experienced in delivering transformation
Not ticking every box? That’s totally okay! Studies show that women and people of colour might hesitate to apply unless they meet every single requirement. At Monzo, we’re dedicated to creating a diverse and welcoming team. If you’re passionate about this role and keen to learn and grow with us, we encourage you to apply— even if you don’t have everything that's listed just yet. Drop us your application, we’d love to hear from you!
🙌 What’s in it for you...
💰 £89,000 - £120,000 + benefits
📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London)
⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team.
📚 £1,000 learning budget each year to use on books, training courses and conferences.
🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup.
🌈 The application journey has 3 key steps...
- An introduction call with our recruiter Natalie (30 mins)
- A technical ‘craft’ presentation and interview (60 mins)
- A teamwork and impact interview (45 mins)
#LI-NH1
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Навыки
- Market Research
- Data Management
- LLM
- Knowledge Management
- Generative AI
- Automation
- User Research
- Information Architecture
- Content Design
- Taxonomy
- Metadata
Возможные вопросы на собеседовании
Проверка опыта в создании структур для неструктурированных данных.
Расскажите о самом сложном проекте по созданию таксономии или информационной архитектуры для исследовательских данных: с какими трудностями вы столкнулись?
Вакансия делает акцент на автоматизации и современных технологиях.
Как именно вы использовали LLM или генеративный ИИ для структурирования или поиска знаний в ваших предыдущих проектах?
Роль предполагает изменение культуры работы с данными в компании.
Как вы планируете вовлекать стейкхолдеров и 'чемпионов' среди пользователей, чтобы новая система управления знаниями действительно использовалась, а не стала 'кладбищем отчетов'?
Важно понимать, как кандидат оценивает эффективность своей работы.
По каким метрикам или качественным показателям вы будете судить об успешности внедренной модели управления знаниями через 6 месяцев?
Поиск баланса между теорией и практикой в условиях быстрорастущего финтеха.
Как вы подходите к выбору инструментов (tooling) для репозитория исследований: что для вас важнее — функциональность 'из коробки' или возможности интеграции?
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- Страна
- Великобритания
- Зарплата
- 89 000 ₽ – 120 000 ₽