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.

The Team:

The Bloomberg Municipal Data team is responsible for acquiring, modeling, and publishing data across the U.S. public finance market. Our responsibilities span across developing automated pipelines for ingestion & publication of data, enhancing the breadth & depth of our dataset, and developing a self describing data product to enhance discoverability. We are structured around solving client problems by closely partnering with Product, Sales & Engineering.

The Role:

Within the Municipal Data team, you will lead the evolution of Bloomberg’s municipal data model and metadata framework. Your work will directly influence how clients discover, interpret, and analyze municipal securities.

We’ll trust you to:

• Represent the current state of alignment across municipal datasets, explain client use cases, and articulate why well-designed data models are essential to user workflows
• Audit and improve the existing fixed income data model to deliver a consistent, cross-platform client experience
• Collaborate with Product, Engineering, Ontologists, and Fixed Income SMEs to co-design an interconnected data model supporting analysis across multiple datasets
• Translate business and product requirements into clear, maintainable data modelling artifacts
• Define and document metadata standards, entity relationships, and model schemas to support semantic alignment and discovery
• Create tools and processes to monitor and maintain metadata inventories
• Communicate data modelling requirements to stakeholders, and drive alignment across metadata/modelling functions to ensure practices are well understood & followed
• Perform data profiling and root cause analysis to guide objective, data-driven modelling decisions
• Promote FAIR data principles across the modelling lifecycle

Salary Range = 110000 - 190000 USD Annually + Benefits + Bonus