At a Glance
- Tasks: Lead the strategy for data and AI products in a dynamic insurance environment.
- Company: Join a leading insurance organisation with a focus on innovation.
- Benefits: Competitive salary up to £110,000, hybrid work model, and career growth opportunities.
- Why this job: Shape the future of data and AI in a pivotal role that drives real change.
- Qualifications: Experience in product management and a passion for data and AI.
- Other info: Collaborative team culture with a focus on professional development.
VIQU have partnered with a leading insurance organisation seeking a Data & AI Product Lead to shape and drive their UK&I data and AI product strategy. As a Data & AI Product Lead, you will define the vision, roadmap, and operating model for a growing data product ecosystem, working closely with underwriting, pricing, claims, risk.
Data and AI Product Lead employer: VIQU IT Recruitment
Contact Detail:
VIQU IT Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data and AI Product Lead
✨Tip Number 1
Network like a pro! Reach out to folks in the insurance and AI sectors on LinkedIn. Join relevant groups and engage in discussions to get your name out there. You never know who might have a lead on that perfect Data & AI Product Lead role!
✨Tip Number 2
Showcase your expertise! Create a portfolio or a blog where you share insights on data strategies and AI trends. This not only demonstrates your knowledge but also makes you stand out as a thought leader in the field.
✨Tip Number 3
Prepare for interviews by practising common questions related to data product management. We recommend using the STAR method (Situation, Task, Action, Result) to structure your answers. This will help you articulate your experience clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the right fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Data and AI Product Lead
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the specific skills and experiences that align with the Data & AI Product Lead role. Highlight your achievements in data strategy and product management to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data and AI, and how you can contribute to shaping our product strategy. Keep it engaging and relevant!
Showcase Your Projects: If you've worked on any relevant projects, don’t hold back! Include links or descriptions of your work that demonstrate your expertise in data products and AI solutions. We love seeing real-world applications!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you get the attention you deserve. Let’s make it happen!
How to prepare for a job interview at VIQU IT Recruitment
✨Know Your Data Inside Out
As a Data & AI Product Lead, you’ll need to demonstrate a deep understanding of data ecosystems. Brush up on the latest trends in data and AI, and be ready to discuss how they can be applied in the insurance sector. Prepare examples of how you've successfully implemented data strategies in previous roles.
✨Showcase Your Vision
This role requires you to define the vision and roadmap for data products. Be prepared to articulate your vision for the future of data and AI in insurance. Think about how you would approach building a product ecosystem and be ready to share your ideas during the interview.
✨Collaborate Like a Pro
You’ll be working closely with various teams like underwriting and claims. Highlight your experience in cross-functional collaboration. Prepare anecdotes that showcase your ability to work with diverse teams and how you’ve driven projects forward through effective communication.
✨Prepare for Scenario Questions
Expect scenario-based questions that assess your problem-solving skills. Think about challenges you’ve faced in previous roles related to data and AI, and how you overcame them. Practising these scenarios will help you respond confidently and demonstrate your strategic thinking.