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- Tasks: Lead an agile team to enhance data quality and manage innovative data products.
- Company: Global analytics firm with a focus on inclusivity and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Make a real impact in data management while collaborating with diverse teams.
- Qualifications: 5+ years in technical product management and strong agile process knowledge.
- Other info: Join a dynamic environment that values problem-solving and creativity.
The predicted salary is between 43200 - 72000 £ per year.
A global analytics firm is seeking a Data Product Manager to enhance data quality and manage an agile team. The ideal candidate should have 5+ years in technical product management and a strong understanding of agile processes. You will collaborate with various teams to expand data assets and ensure high standards of data quality are met. This role offers an inclusive work environment focused on innovation and problem-solving.
Senior Data Product Lead & PM - Agile & Data-Driven employer: LGBT Great
Contact Detail:
LGBT Great Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Product Lead & PM - Agile & Data-Driven
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. We can’t stress enough how personal connections can open doors for you.
✨Tip Number 2
Show off your skills! Create a portfolio or case studies that highlight your experience in data product management and agile processes. We want to see what you can do!
✨Tip Number 3
Prepare for interviews by practising common questions related to data quality and team collaboration. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨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 take that extra step!
We think you need these skills to ace Senior Data Product Lead & PM - Agile & Data-Driven
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in technical product management and agile processes. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data quality and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Collaboration Skills: Since this role involves working with various teams, make sure to mention any past experiences where you successfully collaborated on projects. We value teamwork and want to know how you can bring that spirit to us!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at LGBT Great
✨Know Your Agile Processes
Make sure you brush up on your knowledge of agile methodologies. Be ready to discuss how you've implemented agile processes in your previous roles and how they contributed to the success of your projects.
✨Showcase Your Data Management Skills
Prepare specific examples of how you've enhanced data quality in past positions. Highlight any tools or techniques you've used to manage data assets effectively, as this will demonstrate your technical expertise.
✨Collaboration is Key
Since this role involves working with various teams, think of instances where you've successfully collaborated across departments. Be ready to share how you navigated challenges and ensured everyone was aligned towards common goals.
✨Emphasise Innovation and Problem-Solving
This company values innovation, so come prepared with examples of how you've approached problem-solving creatively. Discuss any unique solutions you've implemented that improved processes or outcomes in your previous roles.
