Senior Data Management Professional - Data Engineering

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 innovative workflow efficiencies, and we implement technology solutions to enhance our systems, products and processes. 

Our Team:

The Bloomberg Data AI group brings innovative AI technologies into Bloomberg’s Data organization while supplying deep financial domain expertise to the development of AI-powered products. We partner closely with team members to align AI innovation with Bloomberg’s strategic objectives, focusing on optimizing data workflows and elevating the quality, intelligence, and usability of the data that drives our products. Our work amplifies the impact of the Data organization by delivering intelligent data solutions and domain-informed systems that improve the capabilities and competitiveness of Bloomberg’s offerings.

What's the Role?

A Senior Data Management Professional (DMP) is a key role within our organization responsible for providing domain expertise in both financial concepts and annotation program management, to the development of our AI products. These individuals act as proactive technical leaders by setting the framework in achieving quality and consistency in the evaluation and training datasets for models that power our AI-enhanced products, and delivering scalable governance in annotation program management across Bloomberg Data. Beyond governing data processes and being problem solvers, they are expected to transform the responsibilities of the team and scale the impact beyond what's possible today.

The role in the Data AI Annotation team covers all annotation program components in developing the evaluation and training of AI models at Bloomberg. Being responsible for the quality of the annotated data, and product quality will be a crucial part of the role, with key work spanning ownership around consensus management, adjudication, and instruction and task design. The team is a critical partner in ensuring the stability and growth of the company which relies on bringing new technology to customers with increased interests in Artificial Intelligence.

We’ll trust you to:

• Build strategies to analyze processes and data engineering questions to ensure our datasets are fit-for-purpose.

• Safeguard the creation of high-quality training data for generative AI models in collaboration with the annotation project coordinator.

• Collaborate on database schema design and configure ETL pipelines to onboard new data sets.

• Leverage data annotation tools and platforms, including labeling software and data management systems to ensure quality.

• Apply domain expertise to inform annotation decisions and ensure high-quality outputs.

• Review and further improve annotation guidelines, and promote the development of standard processes in data annotation.

• Rely upon data analysis skills to identify trends, patterns, and anomalies, and make informed decisions on annotation approaches.

• Lead on problem-solvi