At a Glance
- Tasks: Lead innovative query enrichment projects to enhance Bloomberg's AI capabilities.
- Company: Bloomberg, a leader in data-driven technology and analytics.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Why this job: Join a dynamic team at the forefront of AI and data management.
- Qualifications: 3+ years in data analytics or project coordination; strong Python skills preferred.
- Other info: Collaborative environment with a focus on innovation and compliance.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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 problemâsolving 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 cuttingâedge AI technologies into Bloomberg's Data organization, supplying deep domain expertise to the development of AIâpowered 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, highâquality 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 â 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.
We'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, qualityâcontrolled 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.
Youâll need to have:
- At least 3 years of professional experience in information management, data analytics, or technical project coordination.
- Experience owning the endâtoâend 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 problemâsolving and analytical thinking skills with strong attention to detail.
- Proven track record of stakeholder relationship management, communication, and crossâteam collaboration.
Weâd 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 taskâpresenter tools.
- Prior involvement with distributed data labeling operations.
Bloomberg is an equalâopportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disabilityâinclusive employer. Please let us know if you require any reasonable adjustments to be made for the recruitment process. If you would prefer to discuss this confidentially, please email amer_recruit@bloomberg.net
Senior Data Management Professional - Data Product Owner - Query Enrichment London, GBR Posted [...] employer: Bloomberg L.P.
Contact Detail:
Bloomberg L.P. Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Senior Data Management Professional - Data Product Owner - Query Enrichment London, GBR Posted [...]
â¨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
â¨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to data management and product ownership. We recommend doing mock interviews with friends or using online platforms to get comfortable with your responses.
â¨Tip Number 3
Showcase your skills! Create a portfolio that highlights your past projects, especially those involving data analytics and AI. This will give potential employers a tangible sense of what you can bring to the table.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre genuinely interested in joining our team at Bloomberg.
We think you need these skills to ace Senior Data Management Professional - Data Product Owner - Query Enrichment London, GBR Posted [...]
Some tips for your application đŤĄ
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 our needs at Bloomberg.
Showcase Your Technical Skills: Donât forget to mention your proficiency in Python and any experience you have with data visualisation libraries. We love seeing candidates who can translate technical metrics into business insights, so make that clear!
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points where possible to make your achievements stand out. We appreciate clarity and a well-structured application thatâs easy to read.
Apply Through Our Website: We encourage you to submit your application through our website. Itâs the best way to ensure your application gets seen by the right people. Plus, it shows youâre serious about joining our team!
How to prepare for a job interview at Bloomberg L.P.
â¨Know Your Data Inside Out
Make sure youâre well-versed in data management principles and the specific technologies mentioned in the job description, like Python and data visualisation libraries. Brush up on your knowledge of annotation processes and how they relate to AI and NLP, as this will show your genuine interest and expertise.
â¨Showcase Your Problem-Solving Skills
Prepare examples from your past experience where you successfully identified workflow efficiencies or implemented technological solutions. Be ready to discuss how you approached these challenges and the impact your solutions had on the project or team.
â¨Understand Stakeholder Needs
Demonstrate your ability to translate technical metrics into business insights. Think of instances where youâve collaborated with cross-functional teams and how you ensured that the data products met consumer needs. This will highlight your communication skills and stakeholder management experience.
â¨Ask Insightful Questions
Prepare thoughtful questions about the Query Enrichment teamâs current projects and future goals. This not only shows your enthusiasm for the role but also helps you gauge if the company culture and team dynamics align with your values and work style.