At a Glance
- Tasks: Manage query enrichment and improve generative AI systems with a focus on data quality.
- Company: Bloomberg, a leading financial data and analytics company in London.
- Benefits: Competitive salary, professional development, and the chance to shape AI initiatives.
- Other info: Collaborate with diverse teams and enhance your career in a dynamic setting.
- Why this job: Make a real impact on data-driven decisions in a cutting-edge tech environment.
- Qualifications: 4+ years of experience and proficiency in Python required.
The predicted salary is between 60000 - 84000 € per year.
Bloomberg is seeking a Senior Data Management Professional in London. In this role, you'll oversee the annotation program management to drive improvements in generative AI systems initiatives.
- Manage query enrichment processes
- Ensure data quality
- Collaborate with cross-functional teams to enhance AI responses
Ideal candidates need at least 4 years of relevant experience and proficiency in Python. This role offers opportunities to impact data-driven decision-making.
Data Product Owner - Query Enrichment & GenAI Data in London employer: Bloomberg
Bloomberg is an exceptional employer, offering a dynamic work culture in the heart of London that fosters innovation and collaboration. Employees benefit from comprehensive growth opportunities, competitive compensation, and the chance to make a significant impact on data-driven decision-making within the rapidly evolving field of generative AI. Join us to be part of a forward-thinking team that values your expertise and encourages professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Data Product Owner - Query Enrichment & GenAI Data in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at events. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! If you’ve got experience with Python, consider creating a small project or a portfolio piece that highlights your abilities. It’s a great way to stand out during interviews.
✨Tip Number 3
Prepare for those interviews! Research common questions for Data Product Owner roles and practice your answers. We want you to feel confident when discussing your experience with query enrichment and AI systems.
✨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 Data Product Owner - Query Enrichment & GenAI Data in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in data management and generative AI. We want to see how your skills align with the role, so don’t be shy about showcasing your Python proficiency!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data-driven decision-making and how you can contribute to our query enrichment processes. Keep it engaging and relevant!
Showcase Your Collaboration Skills:Since this role involves working with cross-functional teams, make sure to mention any past experiences where you’ve successfully collaborated with others. We love seeing teamwork in action!
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!
How to prepare for a job interview at Bloomberg
✨Know Your Data Inside Out
Make sure you brush up on your data management skills, especially around query enrichment and generative AI. Be prepared to discuss specific projects where you've improved data quality or managed annotation programs.
✨Show Off Your Python Skills
Since proficiency in Python is a must, be ready to talk about how you've used it in past roles. Maybe even prepare a small coding example or two that showcases your problem-solving abilities with data.
✨Collaboration is Key
This role involves working with cross-functional teams, so think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve driven projects forward by working well with different departments.
✨Impactful Decision-Making
Be ready to discuss how your work has influenced data-driven decision-making in previous roles. Share specific outcomes or improvements that resulted from your initiatives, showing how you can bring that impact to Bloomberg.
