Senior Data Management Professional - Data Product Owner - Foreign Exchange Data

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 optimize the value of our data by combining our domain and technical expertise to make our data fit for the purposes of our clients use cases. We apply analytics and modern data management techniques to identify innovative workflows and technology solutions to improve the management of our data.

Our Team:

Our Foreign Exchange (FX) Data team is seeking a Data Product Owner to help us drive the dataset forward. Bloomberg FX seeks to provide customers with transparency into OTC markets by generating in excess of 1 billion market-reflective, proprietary FX rates across tens of thousands FX securities in more than 180 currency markets on a daily basis. Proprietary FX pricing is a foundational service and an integral part of many workflows for our internal and external clients including trade execution, asset valuation, risk management, back office operations, and benchmarking. With markets and instruments evolving at an ever accelerating pace, we rely on data management expertise, multi-functional collaboration, deep domain knowledge, and thoughtful automation to continuously deliver high quality data to our growing client base.

What's the Role?

As the Data Product Owner, you'll help us improve and grow our offering of FX pricing and reference data. Using your deep market knowledge and understanding of our technical platforms and modern data management techniques, you'll play a key role in designing and implementing strategies to enable expansion of and enhancements to our product offering as well as to facilitate seamless interoperability of our data with other Bloomberg data sets. You will be a thought leader for quality enhancements and work closely with various partners and stakeholders to integrate our solution into the wider architecture. You will join a distributed team of dedicated individuals and experts where your interests and passion will have a significant impact on our team's success.

We trust you to:

• Develop and drive a strategy for Bloomberg FX data quality across markets and security types
  
• Liaise and collaborate with other stakeholders and downstream consumers where there are dependencies on our data
  
• Contribute to the design and execution of data modeling strategies to enable discoverability of FX products and fields as well as seamless interoperability across data sets
  
• Contribute to the design and the implementation of strict quality control processes to ensure the most complete, timely, and accurate data offering by applying your market knowledge and understanding of client use cases
  
• Identify and close gaps in existing product offerings and expand to account for emerging client use cases.
  
• Communicate and contribute to the prioritization of business needs that guide the future direction of our dataset
  
• Train and mentor other team members
  

You'll need to have:
*Please note we use years of experience as a guide, but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.

• 4+ years of recent work experience in the financial services industry, focusing on Foreign Exchange markets
  
• Strong understanding of market players data needs and the strategic landscape within the global FX market
  
• Demonstrated experience in data management, for example in improving data accuracy, completeness or timeliness
  
• A proven track record of successful project management skills and ability to prioritize tasks accordingly
  
• Proven track record of designing and implementing data-driven solutions in a high velocity, low latency environment
  
• Comfort with a high degree of autonomy and shown ability in handling priorities from multiple internal and external partners
  
• Demonstrable ability to take an analytical, data driven approach and apply critical thinking skills in order to tackle problems
  
• Ability to optimally communicate and present concepts and methodologies to diverse audiences
  

We'd Love to See:

• Knowledge of SQL/Python querying language
  
• Familiarity with Iceberg and Trino solutions
  
• Knowledge of streaming technologies like Kafka
  
• Experience in semantic structures or data modeling
  
• Experience using data visualization tools such as Tableau, QlikSense or Splunk