Senior Data Management Professional - Data Quality - Data AI

Senior Data Management Professional - Data Quality - Data AI

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 and implement technology solutions to enhance our systems, products, and processes, while providing customer support.

Our Team:

Data AI contributes to building Bloomberg's AI-enhanced products at scale by curating model training data and improving internal AI processes. We invest strategically in AI to embed it across Data, leveraging new AI technologies to provide high-quality data and access to new datasets for our clients.

What's the Role?

A Senior Data Management Professional (DMP) provides domain expertise in financial concepts and annotation program management to develop our AI products. They set frameworks to ensure quality and consistency in datasets used for training AI models and oversee scalable governance in annotation programs. The role involves transforming team responsibilities and scaling impact beyond current limits.

The role covers all annotation components involved in developing AI model evaluation and training at Bloomberg. Responsibilities include ensuring data quality through consensus management, adjudication, and designing instructions and tasks. The team plays a vital role in the company's growth by integrating new AI technologies for customer solutions.

Responsibilities:

• Create strategies to analyze processes and data quality to ensure datasets are fit-for-purpose.
• Ensure high-quality training data for generative AI models in collaboration with the annotation project manager.
• Utilize data annotation tools and platforms to maintain quality standards.
• Apply domain expertise to inform annotation decisions and improve guidelines.
• Analyze data to identify trends, patterns, and anomalies for informed annotation decisions.
• Lead problem-solving efforts for complex annotation challenges.
• Stay updated with industry trends in data annotation, finance, and news.
• Participate actively in project and product coordination when needed.

Qualifications:

• Bachelor's degree or higher in Statistics, Data Analytics, Data Science, or related STEM fields.
• At least four years of experience in data management concepts like data quality, sampling, and modeling.
• Experience with data visualization tools like Tableau or Qlik Sense.
• Experience analyzing financial datasets and understanding financial market concepts.
• Proficiency in Data Profiling/Analysis using Python, R, or SQL.
• Ability to communicate results clearly using data visualization tools.
• Strong logical and critical thinking skills for problem-solving.

Preferred Skills:

• Interest and familiarity with generative AI frameworks.
• Knowledge of data governance and management, supported by industry certifications (e.g., DAMA CDMP, DCAM).
• Experience with anomaly detection methodologies.
• Experience with Agile/Scrum project management methodologies.

If this sounds like you, apply to join our team. We will contact you with the next steps.

Note: The Data department manages various datasets, contributing to Bloomberg's data-driven solutions.