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- Tasks: Lead data product strategy and drive insights across teams in a dynamic environment.
- Company: Renowned travel tech company based in Edinburgh with a global impact.
- Benefits: Hybrid work model, competitive salary, and opportunities for innovation.
- Why this job: Make a difference for millions of travellers while shaping the future of travel technology.
- Qualifications: Strong product leadership and experience in managing complex data environments.
- Other info: Collaborative culture with a focus on measurable outcomes and innovation.
The predicted salary is between 48000 - 72000 £ per year.
A renowned travel technology company in Edinburgh seeks a Principal Product Manager - Data to drive data product strategy and enable insights across teams. This role requires strong product leadership, cross-functional collaboration, and the ability to manage complex data environments.
The ideal candidate excels in crafting clear product visions and measurable outcomes, while championing innovation. This is a hybrid position offering the chance to impact millions of travelers around the globe.
Principal Data Product Leader for Scale & Insight employer: SkyScanner
Contact Detail:
SkyScanner Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Principal Data Product Leader for Scale & Insight
✨Tip Number 1
Network like a pro! Reach out to folks in the travel tech industry, especially those who work at the company you're eyeing. A friendly chat can give you insider info and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your product leadership and data strategy successes. This will help you stand out and demonstrate your ability to drive insights.
✨Tip Number 3
Ace the interview by being ready to discuss how you've tackled complex data environments before. Use specific examples to showcase your problem-solving skills and innovative thinking.
✨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 Principal Data Product Leader for Scale & Insight
Some tips for your application 🫡
Craft Your Story: When writing your application, make sure to tell us your story. Highlight your journey in product management and how your experiences have shaped your approach to data strategy and insights.
Showcase Your Leadership Skills: We want to see how you've led teams and projects in the past. Use specific examples to demonstrate your product leadership and cross-functional collaboration skills, especially in complex data environments.
Be Clear and Concise: Clarity is key! Make sure your application is easy to read and straight to the point. We appreciate well-structured applications that clearly outline your vision for data products and measurable outcomes.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity to impact millions of travellers.
How to prepare for a job interview at SkyScanner
✨Know Your Data Inside Out
As a Principal Data Product Leader, you’ll need to demonstrate a deep understanding of data products. Brush up on the latest trends in data technology and be ready to discuss how you've used data to drive product strategy in your previous roles.
✨Showcase Your Leadership Skills
This role requires strong product leadership, so prepare examples that highlight your experience in leading cross-functional teams. Think about specific projects where you’ve successfully collaborated with different departments to achieve measurable outcomes.
✨Craft a Clear Product Vision
Be ready to articulate your vision for data products. Consider how you would approach creating a product roadmap and what metrics you would use to measure success. This will show your ability to think strategically and innovate.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in complex data environments. Prepare scenarios from your past experiences where you faced challenges and how you overcame them, particularly in a travel or tech context.
