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- Tasks: Lead the vision for an experimentation platform and enhance A/B testing capabilities.
- Company: Super, a forward-thinking company in the UK focused on data innovation.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Other info: Join a dynamic team that values creativity and rapid experimentation.
- Why this job: Drive innovation and make impactful decisions in a data-driven environment.
- Qualifications: 6–8+ years in product management with a focus on data products.
The predicted salary is between 70000 - 100000 £ per year.
Super in the UK is seeking a Senior Data Product Manager to lead the vision and roadmap for their experimentation platform. You will drive product strategy, collaborating with multiple teams to enhance A/B testing and audience segmentation capabilities.
The ideal candidate should have 6–8+ years in product management, particularly focused on data products. This role empowers innovation and rapid experimentation across the organization, fostering a culture of data-driven decision-making.
Lead Data Product Manager: Experimentation Platform employer: Super
Contact Detail:
Super Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Product Manager: Experimentation Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Showcase your skills! Create a portfolio or case studies that highlight your experience with data products and experimentation. This is your chance to shine beyond the written application.
✨Tip Number 3
Prepare for interviews by practising common questions related to product management and data strategy. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Lead Data Product Manager: Experimentation Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Product Manager role. Highlight your experience in product management, especially with data products, to show us you’re the right fit.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about leading an experimentation platform. Share specific examples of how you've driven product strategy and innovation in your previous roles.
Showcase Your Collaboration Skills: Since this role involves working with multiple teams, emphasise your ability to collaborate effectively. Mention any cross-functional projects you've led or contributed to, demonstrating your teamwork prowess.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Super
✨Know Your Data Inside Out
As a Lead Data Product Manager, you'll need to demonstrate a deep understanding of data products. Brush up on A/B testing methodologies and audience segmentation techniques. Be ready to discuss how you've used data to drive product decisions in your previous roles.
✨Showcase Your Strategic Vision
This role is all about driving product strategy, so come prepared with a clear vision for the experimentation platform. Think about how you would enhance its capabilities and be ready to share specific examples of how you've successfully led similar initiatives in the past.
✨Collaboration is Key
You'll be working with multiple teams, so highlight your experience in cross-functional collaboration. Prepare anecdotes that showcase your ability to work with engineers, designers, and stakeholders to achieve common goals. This will show that you can foster a culture of innovation.
✨Emphasise Data-Driven Decision Making
Since this role empowers rapid experimentation, be ready to discuss how you've implemented data-driven decision-making in your previous positions. Share examples of how your decisions have led to measurable outcomes, and be prepared to talk about any challenges you faced along the way.