At a Glance
- Tasks: Lead innovative data projects to enhance Bloomberg's AI capabilities and improve user experience.
- Company: Bloomberg, a global leader in data-driven technology solutions.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Diverse and inclusive workplace with a focus on innovation.
- Why this job: Make a real impact on AI systems while collaborating with top-notch teams.
- Qualifications: 4+ years in data management or analytics, strong problem-solving skills.
The predicted salary is between 70000 - 90000 £ per year.
Location: London
Business Area: Data
Ref #:
Description & Requirements
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: As a Data Product Owner on the Query enrichment team, you will be responsible for annotation program management to contribute to the development of generative AI systems. You will play a crucial role, in collaboration with product and engineering teams, to implement strategies to gather and scale evaluations and annotations to drive continuous improvements for these systems.
You will be responsible for the delivery of annotated datasets, ensuring it meets the current and emerging needs of Bloomberg clients, aligns with internal product goals and adheres to high standards of quality, transparency, and usability. You will be expected to contribute to codifying standards, working with stakeholders to align on expectations, ensuring consistent delivery and iterating on our work, such as project design, in order to optimize and scale.
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.
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, 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 utilized 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 4 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.
If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role.
Bloomberg is an equal opportunity 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 disability inclusive 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.
Senior Data Management Professional - Data Product Owner - Query Enrichment in London employer: Job Search Place Limited
Bloomberg is an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. As a Senior Data Management Professional, you will thrive in a culture that values diversity and fosters professional growth, with opportunities to engage in cutting-edge projects that enhance AI capabilities. With a commitment to employee well-being and inclusivity, Bloomberg provides a supportive atmosphere that empowers you to make a meaningful impact in the data landscape.
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