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- Tasks: Lead data collection projects and transform requirements into actionable tasks.
- Company: Leading data solutions provider based in London.
- Benefits: Hybrid work model, competitive salary, and comprehensive benefits package.
- Why this job: Make a real impact on data quality and performance metrics.
- Qualifications: 3+ years in product management with agile expertise and strong communication skills.
- Other info: Join a dynamic team with opportunities for growth and innovation.
The predicted salary is between 36000 - 60000 £ per year.
A leading data solutions provider in London seeks a Product Owner to lead their data collection domain. This role involves managing the backlog, collaborating with various teams to turn requirements into actionable tasks, and championing data quality and performance metrics.
The ideal candidate has over 3 years of experience in product management, strong skills in agile methodologies, and excellent communication abilities.
This position offers a hybrid work model and a competitive benefits package.
Product Owner - Data Collection & Latency employer: Txodds
Contact Detail:
Txodds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Owner - Data Collection & Latency
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions related to product ownership and agile methodologies. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
✨Tip Number 3
Showcase your skills through real-life examples. When discussing your experience, focus on specific projects where you managed backlogs or improved data quality. This will help you stand out as a candidate who can deliver results.
✨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 Product Owner - Data Collection & Latency
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management and agile methodologies. We want to see how your skills align with the role of Product Owner, 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 collection and how you can contribute to our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Communication Skills: As a Product Owner, communication is key. In your application, highlight instances where you’ve successfully collaborated with teams or stakeholders. We want to know how you can champion data quality and performance metrics!
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 the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Txodds
✨Know Your Product Management Basics
Make sure you brush up on your product management principles, especially around agile methodologies. Be ready to discuss how you've successfully managed backlogs and prioritised tasks in previous roles.
✨Showcase Your Data Savvy
Since this role focuses on data collection and quality, prepare examples of how you've championed data quality in past projects. Highlight any metrics or performance indicators you've worked with to demonstrate your impact.
✨Collaboration is Key
This position requires working closely with various teams. Think of specific instances where you've collaborated effectively with cross-functional teams. Be ready to share how you facilitated communication and turned requirements into actionable tasks.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategies and challenges they face in data collection. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
