Team Leader Data Rates
Job Summary
Description & Requirements
- Lead attract and develop a high-performing team of data professionals fostering a culture of accountability continuous feedback and growth
- Translate business and product requirements into a clear data modelling vision that supports interoperability across datasets and platforms while advocating best practices to stakeholders
- Design implement and evolve data models taxonomies and metadata frameworks (including ontologies and controlled vocabularies) to support scalable multi-domain data products
- Partner closely with Product Engineering and SMEs to build robust future-proof data solutions that balance technical feasibility with evolving client needs
- Establish and drive data governance quality standards and control frameworksleveraging client-focused metrics process transparency and adherence to modelling best practices (e.g. FAIR principles)
- Build and scale efficient data workflows including ETL processes and automation to improve reliability observability and time-to-delivery
- Ensure data consistently meets or exceeds SLAs supporting high-quality client outcomes and operational excellence
- Develop deep subject matter and technical expertise within the team staying aligned with industry trends to proactively identify gaps and innovation opportunities
- Collaborate with global counterparts to standardize workflows and ensure consistency in data quality across regions and products
- Provide hands-on technical leadership through participation in design discussions code reviews and strategic decision-making while clearly communicating priorities and influencing stakeholders across the organization
- 3 years of leadership experience with the ability to develop and guide high-performing teams
- Solid understanding of fixed income markets with broad exposure to global financial markets
- Demonstrated experience in data management including data engineering data quality or data modeling
- Hands-on experience working with data tools such as Python SQL and/or visualization platforms in a production environment
- Proven experience building and managing ETL pipelines and working with large complex datasets
- Technical proficiency to lead and partner effectively with Data Engineers ensuring high standards in production delivery
- Bachelors degree or higher in Computer Science Mathematics or a related field (or equivalent experience)
- Strong analytical and problem-solving skills with high attention to detail
- Fluency in written and spoken English with strong communication skills across technical and business stakeholders
- Proven ability to build relationships and influence stakeholders across a global distributed organization
- Ability to operate both independently and collaboratively in a fast-paced environment
- Strategic mindset with the ability to align team priorities to business goals and deliver measurable impact
- Familiarity with semantic technologies ontologies or structured data frameworks
- Understanding of data governance principles and metadata management
- Experience working in Agile/Scrum environments
- Strong stakeholder awareness with the ability to anticipate team and client needs
If this sounds like you:
Apply and we will revert on the next steps
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more