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- Tasks: Lead the development of data products and define product strategy.
- Company: Global leader in information and analytics with a collaborative culture.
- Benefits: Generous health care benefits and professional development opportunities.
- Why this job: Shape innovative data solutions and ensure top-notch data quality.
- Qualifications: Strong product management experience and excellent communication skills.
- Other info: Join a dynamic team with great career growth potential.
The predicted salary is between 36000 - 60000 £ per year.
A leading global information and analytics firm is seeking a Senior Data Product Manager to manage the development of data products. This role involves defining product strategy, understanding data use cases, and ensuring data quality.
The ideal candidate will have:
- a strong background in product management,
- excellent communication skills,
- the ability to drive cross-functional teams.
This position offers a collaborative work environment and generous benefits including health care and professional development opportunities.
Senior Data Product Manager — Data Quality & ROI employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Product Manager — Data Quality & ROI
✨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies that highlight your experience in product management and data quality. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common questions related to data products and strategy. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Product Manager — Data Quality & ROI
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Product Manager role. Highlight your product management background and any relevant data quality projects you've worked on.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of how you've driven cross-functional teams and defined product strategies in the past.
Showcase Your Communication Skills: Since excellent communication is key for this position, make sure your application materials are clear and concise. We want to see how you can convey complex ideas simply and effectively.
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 don’t miss out on any important updates about the hiring process.
How to prepare for a job interview at Elsevier
✨Know Your Data Inside Out
As a Senior Data Product Manager, you'll need to demonstrate a solid understanding of data quality and ROI. Brush up on key metrics and case studies relevant to the role, so you can confidently discuss how you've tackled similar challenges in the past.
✨Showcase Your Product Management Skills
Prepare to share specific examples of your product management experience. Highlight how you've defined product strategies and driven cross-functional teams to success. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Communicate Clearly and Effectively
Excellent communication skills are crucial for this role. Practice articulating your thoughts clearly, especially when discussing complex data concepts. Consider doing mock interviews with a friend to refine your delivery and ensure you come across as confident and articulate.
✨Emphasise Collaboration
This position thrives in a collaborative environment, so be ready to discuss how you've worked with diverse teams in the past. Share examples that highlight your ability to foster teamwork and drive results through collaboration, as this will resonate well with the interviewers.