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Data Product Manager
Отличное предложение от топового британского страховщика с сильной корпоративной культурой и бюджетом на обучение. Гибридный формат в Лондоне и фокус на инновациях делают вакансию очень привлекательной для опытных менеджеров.
Сложность вакансии
Роль требует глубокого понимания жизненного цикла данных и умения работать на стыке бизнеса и разработки (Data Science/ML). Высокая планка ответственности за финансовые показатели и необходимость управления ожиданиями стейкхолдеров уровня Exec/Board делают позицию сложной.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Data Product Manager в Лондоне рыночный диапазон составляет £70,000 – £95,000 в год. Предлагаемый соцпакет (пенсия 7%, бюджет на обучение £1000) соответствует высокому уровню рынка Великобритании.
Сопроводительное письмо
I am writing to express my interest in the Data Product Manager position at Policy Expert. With a strong background in managing the full lifecycle of data products and a passion for bridging the gap between technical teams and business stakeholders, I am excited about the opportunity to contribute to your Group Data initiative. My experience in cross-functional environments aligns perfectly with your mission to enrich customer experiences through smart data and analytics.
In my previous roles, I have successfully translated complex machine learning and data science concepts into actionable business roadmaps. I am particularly drawn to Policy Expert's commitment to a data-driven culture and your impressive growth in the Home, Motor, and Pet insurance sectors. I am confident that my skills in SQL, stakeholder management, and strategic prioritization will help drive incremental value and operational excellence within your pricing and underwriting squads.
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Описание вакансии
Policy Expert – Data Product Manager
🚀Are you ready to transform the insurance industry?
Policy Expert is a forward-thinking business that loves to get things done. Leveraging proprietary technology and smart data, we offer reliable products and a wow customer experience.
Having achieved rapid growth since being founded in 2011, we’ve won over 1.5 million customers in Home, Motor and Pet insurance and have been ranked the UK’s No.1-rated home insurer by Review Centre since 2013. 🏆
Hear from our team about what it's like working at Policy Expert ✨
About Group Data:
At Policy Expert, data is at the heart of everything we do, and our ambition is clear: our data and analytics will enrich every customer experience, optimize every business decision, and empower every colleague. The Exec and Board have committed significant investment to establish and mature our data capabilities, underpinned by a transformative Data Strategy built around three core pillars: Operating Model, Data & Analytics Platform, and Data Culture. We have five disciplines – Data Management, Engineering, Science, Analytics, and Visualisation – that collaborate with the rest of the business to drive incremental value through data, operational excellence, and business agility.
About the Product Management team:
Product Management is at the core of our strategy, guiding innovation and excellence across our insurance offerings. Led by our Chief Product Officer, who oversees our Heads of Product (Home, Motor, Pet, and Shared Services), the team facilitates strategic prioritisation and translates executive decisions into actionable roadmaps and timely delivery. Our Product Management function combines deep business insights, user-centred design, and agile methods to create impactful, customer-focused solutions. It’s a collaborative and dynamic environment, driving products that enhance customer experiences, improve operational efficiencies, and significantly contribute to our business success and growth.
Your day-to-day
As a Data Product Manager working with our pricing, underwriting and counter-fraud teams at Policy Expert, you will work in Group Data and collaborate with our Product Management teams to:
- Define the vision and roadmap: Work closely with stakeholders to define the overall vision and roadmap for your squad's data products, ensuring alignment with the company's strategic purposes.
- Prioritise initiatives: Balance short-term needs and long-term projects, prioritising initiatives based on business impact, feasibility, and resource availability.
- Delivery:Oversee the lifecycle of data product development from ideation through deployment and maintenance, working with a technical lead and Delivery Manager to ensure initiatives are delivered and their impact communicated to the wider business.
- Value tracking: ensure that the value delivered by Data Products can be measured and reported to our Exec and Board.
- Squad management: Act as the liaison between data scientists, machine learning engineers, data engineers, and SME’s to ensure clear communication and alignment.
- Requirement gathering: Work with business units to gather requirements and understand their pain points to translate them into data product features with measurable KPIs. Write clear and concise product specifications, including user stories and acceptance criteria, for the data team to follow.
- Continuous improvement: Regularly review performance metrics and user feedback to continuously optimise and improve data products. Facilitate user testing sessions and collect user feedback to ensure data products meet user needs and business goals.
- User training & documentation:Coordinate with relevant teams to provide training and support to end-users, ensuring they can effectively use the data products. Maintain comprehensive documentation for all data products, including user guides, technical specifications, and best practices.
- Data quality standards and compliance: Establish and maintain high standards for data quality, consistency, and reliability. Ensure that data products comply with relevant regulations and policies (like GDPR) and that data privacy and security standards are upheld.
You should apply if:
- A passion for data, and while you don’t need a technical background you are comfortable discussing data science and machine learning concepts, tools, and processes with technical people, as well as translating these concepts into business language.
- Experience of insurance pricing or underwriting or counter-fraud is beneficial for this role.
- A strong track record in data product development in technical cross-functional teams.
- Strategic thinker with the ability to implement strategies through pragmatic and realistic roadmaps and actions plans.
- Experience of managing the full lifecycle of a data product from ideation, delivery, maintenance and continual improvement.
- A data driven approach in how you build product insights to shape choices, and you are comfortable deriving these insights through SQL queries, dashboarding tools etc.
- Extensive experience in managing and influencing stakeholders at all levels of the organisation.
- Excellent communicator, both written and spoken, at all levels of the organisation.
- Highly organised and structured in approach with a results-oriented mindset and an eye for detail.
Benefits:
📍 This role will be based in our London office in a 50/50 Hybrid mode
💸 We match your pension contributions up to 7%
🏥 Private medical & Dental cover
📚 Learning budget of £1,000 a year + Study leave (with encouragement to use it)
😁 Enhanced maternity & paternity
🚉 Travel season ticket loan
🎟️ Access to a wide selection of London O2 events and use of a Private Lounge
🌈 Employee Wellbeing Programme
🚪 Prayer room in office
What We Stand for and Next Steps“We pride ourselves on being an equal opportunity employer. We treat all applications equally and recruit based solely on an individual’s skills, knowledge, and experience. The quality and growing diversity of our team is a testament to this commitment”
At Policy Expert, we are committed to fostering an inclusive and supportive environment for all candidates. If you require any reasonable adjustments during the interview process to accommodate your needs, please do not hesitate to let us know. We are dedicated to ensuring every candidate has an equal opportunity to succeed and will work with you to provide the necessary support.
We aim to be in touch within 14 working days of your application – you will be notified if successful or unsuccessful. Please be encouraged to apply even if you do not meet all the requirements.
Useful links:
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Навыки
- Stakeholder Management
- Product Management
- Agile
- Machine Learning
- SQL
- Data Visualization
- Roadmapping
- Data Analytics
- Data Science
- GDPR
Возможные вопросы на собеседовании
Проверка умения приоритизировать задачи в условиях ограниченных ресурсов.
Как вы балансируете между краткосрочными запросами бизнеса и долгосрочными проектами по развитию платформы данных?
Оценка технической грамотности и способности общаться с инженерами.
Опишите ваш опыт взаимодействия с Data Scientists: как вы переводите бизнес-требования в технические спецификации для ML-моделей?
Важно для страховой компании, где точность данных критична.
Какие метрики качества данных вы считаете наиболее важными для продуктов в сфере андеррайтинга или ценообразования?
Проверка навыков работы с данными напрямую.
Приведите пример, когда вы использовали SQL или инструменты визуализации для выявления инсайтов, которые изменили дорожную карту продукта.
Оценка понимания регуляторных рисков.
Как вы обеспечиваете соответствие ваших дата-продуктов требованиям GDPR при работе с чувствительными данными клиентов?
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