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- Tasks: Lead data-driven innovation in insurance by defining product strategies and collaborating with teams.
- Company: A top data-driven organisation in the UK focused on innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Make a real impact in the insurance sector through data-led solutions.
- Qualifications: Experience in insurance, strong analytical skills, and knowledge of Agile methodologies.
- Other info: Join a dynamic team fostering a strong data culture.
The predicted salary is between 43200 - 72000 £ per year.
A leading data-driven organization in the UK is seeking a Data Product Manager with an insurance background to drive data-led innovation. This key leadership role involves defining product strategy and roadmaps, collaborating with various teams, and ensuring data products deliver tangible value.
Ideal candidates possess strong analytical skills, commercial awareness, and experience in the insurance sector. Familiarity with data architectures and Agile methodologies is also preferred. This position is vital for supporting a strong data culture across the organization.
Data Product Leader — Insurance & AI Innovation in London employer: Candour
Contact Detail:
Candour Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Leader — Insurance & AI Innovation in London
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and data sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your expertise.
✨Tip Number 2
Prepare for interviews by brushing up on your knowledge of data architectures and Agile methodologies. We recommend creating a cheat sheet with key concepts and examples from your past experiences to impress your interviewers.
✨Tip Number 3
Showcase your analytical skills during interviews. Be ready to discuss how you've used data to drive decisions in previous roles, especially in the insurance sector. Real-life examples will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Product Leader — Insurance & AI Innovation in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the job description. Highlight your experience in the insurance sector and any relevant data product management roles. We want to see how your skills align with our needs!
Showcase Your Analytical Skills: Since this role requires strong analytical skills, don’t shy away from sharing specific examples of how you've used data to drive decisions or innovations in your previous roles. We love seeing real-world applications!
Emphasise Collaboration: This position involves working with various teams, so highlight your experience in cross-functional collaboration. Share stories that demonstrate your ability to work well with others and lead projects to success.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at Candour
✨Know Your Data Inside Out
Make sure you’re well-versed in the data products relevant to the insurance sector. Brush up on how data can drive innovation in this field and be ready to discuss specific examples of how you've used data to create value in previous roles.
✨Showcase Your Analytical Skills
Prepare to demonstrate your analytical prowess during the interview. Think of scenarios where your analytical skills made a significant impact, especially in product strategy or roadmaps. Use metrics and outcomes to back up your claims.
✨Familiarise Yourself with Agile Methodologies
Since Agile is preferred for this role, make sure you understand its principles and how they apply to product management. Be ready to discuss your experience working in Agile environments and how it has helped you deliver successful data products.
✨Collaborate and Communicate
This role involves working with various teams, so highlight your collaboration skills. Prepare examples of how you’ve successfully worked with cross-functional teams in the past, focusing on communication strategies that led to successful project outcomes.
