The Role: 

We are enhancing existing metamodels and metadata management systems. This includes building new tools and systems to manage, govern, link and discover metadata. It also involves developing and improving new functions and services to distribute metadata.
 
In this exciting role, we expect you to deliver a product vision and implement that vision in collaboration with Engineering, Product, and Data. You will be a key person in developing technical products that provide best-in-class customer experience. You will understand the requirements of both internal users, and external clients, and then shape the product offering to meet their needs. You would be familiar with specifying requirements including writing JIRA stories. You would have deep technical experience around using structured data models and data sets to solve complex business demands.
 
What’s in it for you: 

• An influential business role within a fast-growing area of Bloomberg’s Data business. 
• Broad scope to craft and specify meta-model for the company. 

We’ll trust you to: 


• Take responsibility for Bloomberg Data Dictionary’s technology products. 
• Develop a product roadmap by evaluating what is possible and viable 
• Communicate the roadmap across the organization, and work with engineering to execute the roadmap 
• Develop functional and technical requirements by leading conversations among internal partners (Engineering, Product, Data, Sales), and clients
 
You’ll need to have:

• Bachelor’s (or Master’s) degree in Engineering, Computer Science or related technical discipline 
• 4+ years of relevant work experience 
• Experience in developing and implementing technology systems 
• Understanding of data modelling (either ER, RDF, or other similar techniques) 
• Understanding of financials markets and how Bloomberg's clients use our data 
• The ability to address multiple priorities in a fast-paced environment

 
We’d love to see:

• Knowledge of metadata systems and models 
• Knowledge of linked data and knowledge graphs 
• Knowledge of Market Data and Reference Data