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- Tasks: Lead innovative query enrichment projects to enhance Bloomberg's GenAI capabilities.
- Company: Join Bloomberg, a leader in data-driven technology and analytics.
- Benefits: Competitive salary, comprehensive benefits, and opportunities for professional growth.
- Why this job: Make a real impact by improving AI responses with cutting-edge data science.
- Qualifications: 3+ years in data management or analytics, strong problem-solving skills.
- Other info: Collaborative environment with a focus on innovation and career advancement.
The predicted salary is between 36000 - 60000 ÂŁ per year.
Join to apply for the Senior Data Management Professional - Data Product Owner - Query Enrichment role at Bloomberg. Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock from around the world. In Data, we are responsible for delivering this data, news, and analytics through innovative technology, quickly and accurately. We apply problem‑solving skills to identify workflow efficiencies, implement technological solutions to enhance our systems, products, and processes, and provide support to our clients.
Our Team
The Bloomberg Data AI group brings cutting‑edge AI technologies into Bloomberg’s Data organization, supplying deep domain expertise to the development of AI‑powered products. One of our key focus areas supports compliance monitoring and supervision through structured annotation of electronic communications. These annotations underpin critical policy controls, model training, and enrichment pipelines that enhance compliance coverage, communication understanding, and risk detection. Our team builds and manages scalable annotation frameworks and governance systems that help ensure compliant, high‑quality datasets. We partner closely with Compliance, Product, and Engineering to design annotation guidelines, establish review and escalation protocols, and ensure alignment with evolving regulatory and internal policies.
What’s The Role
As a member of the Query Enrichment team, you will help make Bloomberg’s GenAI capabilities smarter, faster, and more intuitive. Our work connects data science, natural language processing, and human judgment — enriching queries to ensure users receive the most accurate and relevant responses possible. We partner closely with other Data teams, as well as Product and Engineering to enhance the intelligence behind Bloomberg’s AI offering.
You’ll Trust You To
- Own and run key query enrichment initiatives, which are predominantly focused on annotation process management from build to execution.
- Contribute to the evolution of Bloomberg’s query enrichment processes by crafting scalable, quality‑controlled annotation projects to train and evaluate LLM models and their output.
- Apply technical acumen and product mindset to define and drive the strategic evolution of annotation projects, ensuring robust quality metrics are created and utilised to iterate on workflows and performance.
- Collaborate with partners to scope, evaluate, and refine data enrichment tasks. This includes creation of project guidelines, implementation of annotation protocols and providing relevant progress reports and feedback.
- Perform advanced business intelligence, metric analysis, and process automation.
- Develop and document reproducible analysis notebooks that clarify results and streamline stakeholder reporting.
You’ll Need To Have
- At least 3 years of professional experience in information management, data analytics, or technical project coordination.
- Experience owning the end‑to‑end lifecycle of a data product, including design, delivery and measurement with a focus on ensuring data meets consumer needs and drives actionable outcomes.
- Ability to translate technical metrics into business insights for product stakeholders.
- Excellent problem‑solving and analytical thinking skills with strong attention to detail.
- Proven track record of stakeholder relationship management, communication, and cross‑team collaboration.
We’d Love To See
- Strong proficiency in Python (Pandas, NumPy, and data visualization libraries).
- Experience developing or managing annotation programs and training/evaluation datasets for ML or NLP models.
- Basic understanding of HTML, CSS, and JavaScript for maintaining task‑presenter tools.
- Prior involvement with distributed data labeling operations.
Discover what makes Bloomberg unique - watch our for an inside look at our culture, values, and the people behind our success.
Seniority level: Mid‑Senior level
Employment type: Full‑time
Job function: Product Management and Marketing
Senior Data Management Professional - Data Product Owner - Query Enrichment in London employer: Bloomberg
Contact Detail:
Bloomberg Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Management Professional - Data Product Owner - Query Enrichment in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for those interviews! Research Bloomberg’s culture and values, and think about how your experience aligns with their mission. We want to see you shine!
✨Tip Number 3
Show off your skills! If you’ve got a portfolio or examples of your work, bring them along. It’s a great way to demonstrate your expertise in data management and analytics.
✨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 Management Professional - Data Product Owner - Query Enrichment in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the Senior Data Management Professional role. Highlight your experience in data analytics and project coordination, and show how your skills align with what we’re looking for at Bloomberg.
Showcase Your Technical Skills: Don’t forget to mention your proficiency in Python and any experience you have with data visualisation libraries. We want to see how you can apply your technical acumen to enhance our query enrichment processes.
Highlight Collaboration Experience: Since this role involves working closely with various teams, share examples of how you've successfully collaborated in the past. We love seeing strong communication and relationship management skills!
Apply Through Our Website: For the best chance of success, make sure to submit your application through our website. It’s the easiest way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at Bloomberg
✨Know Your Data Inside Out
Make sure you’re well-versed in data management concepts and the specific technologies mentioned in the job description. Brush up on your Python skills, especially with libraries like Pandas and NumPy, as they’ll likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've identified workflow efficiencies or implemented technological solutions. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical thinking.
✨Understand the Role of Query Enrichment
Familiarise yourself with query enrichment processes and how they relate to AI and machine learning. Be ready to discuss how you would approach managing annotation projects and ensuring quality control, as this is a key part of the role.
✨Communicate Effectively
Since stakeholder relationship management is crucial, practice articulating your thoughts clearly and concisely. Prepare to explain technical metrics in a way that non-technical stakeholders can understand, showcasing your ability to bridge the gap between data and business insights.
