At a Glance
- Tasks: Lead the lifecycle of data products and transform enterprise data into high-value solutions.
- Company: Global data solutions company in the UK with a focus on innovation.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Why this job: Join a diverse team and make an impact through data-driven decision-making.
- Qualifications: Experience in data product management, SQL skills, and knowledge of GCP data services.
- Other info: Dynamic environment fostering collaboration and creativity.
The predicted salary is between 36000 - 60000 £ per year.
A global data solutions company in the UK seeks a Data Product Manager to lead the lifecycle of data products. This role focuses on transforming enterprise data into high-value products through strategic planning and collaboration with engineering teams.
Candidates should have experience in data product management, SQL proficiency, and familiarity with GCP data services.
Join a team committed to innovation and data-driven decision-making in a diverse, inclusive environment.
Data Product Leader: AI-Ready Data Mesh & Analytics in Maidenhead employer: RWS Gruppe
Contact Detail:
RWS Gruppe Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Product Leader: AI-Ready Data Mesh & Analytics in Maidenhead
✨Tip Number 1
Network like a pro! Reach out to folks in the data product space on LinkedIn or at industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data product projects, especially those involving SQL and GCP. This gives us a tangible way to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of data mesh concepts and analytics strategies. We love candidates who can discuss how they’ve transformed data into valuable products.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for innovative thinkers like you!
We think you need these skills to ace Data Product Leader: AI-Ready Data Mesh & Analytics in Maidenhead
Some tips for your application 🫡
Show Your Passion for Data: When you're writing your application, let your enthusiasm for data shine through! We want to see how you’ve transformed data into high-value products in your past roles. Share specific examples that highlight your experience in data product management.
Highlight Your Technical Skills: Make sure to mention your SQL proficiency and any experience with GCP data services. We’re looking for someone who can dive deep into the technical side of things, so don’t hold back on showcasing your skills!
Emphasise Collaboration: This role is all about working closely with engineering teams, so be sure to illustrate your collaborative spirit. Talk about times when you’ve successfully partnered with others to drive projects forward and achieve results.
Apply Through Our Website: We encourage you to apply directly through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. Don’t miss out on joining a team that values innovation and inclusivity!
How to prepare for a job interview at RWS Gruppe
✨Know Your Data Inside Out
Make sure you’re well-versed in the specifics of data product management. Brush up on your SQL skills and be ready to discuss how you've transformed enterprise data into valuable products in previous roles.
✨Showcase Your Collaboration Skills
This role involves working closely with engineering teams, so be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve led cross-functional teams or projects.
✨Familiarise Yourself with GCP Data Services
Since familiarity with GCP data services is key, do some research on the latest tools and features. Be ready to discuss how you’ve used these services to enhance data products or analytics in your previous positions.
✨Emphasise Innovation and Decision-Making
The company values innovation and data-driven decisions, so think of instances where you’ve implemented innovative solutions or made impactful decisions based on data analysis. This will show that you align with their mission.