Team Leader Data Rates
Pune, Maharashtra, India
Posted on Jun 29, 2026
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 Rates Data team sits at the core of our Fixed Income Data business, responsible for building and evolving datasets across Sovereigns, Local Governments, Money Markets, and Municipal Fundamentals. These datasets underpin how clients discover, analyze, and act on information across global rates markets.
As we continue to expand our coverage, the team is focused on growing into new and emerging areas, enhancing the depth and quality of our data to meet evolving client needs. We partner closely with Product, Engineering, and Fixed Income subject matter experts across the globe to deliver scalable, high-impact data solutions that help clients navigate increasingly complex global markets with confidence.
What’s the role?
The Rates Data Team is looking for a driven Team Leader to help build and scale our coverage across Sovereigns, Local Governments, Money Markets, and Municipal Fundamentals. This is a unique opportunity to join a growing team in an expanding market, where you’ll play a key role in shaping our data strategy, processes, and product evolution.
You’ll lead a team of data professionals to deliver high-quality, client-ready data while establishing best practices and driving innovation. Success will rely on strong leadership, execution, and close collaboration with Engineering, Product, and key partners.
We’ll trust you to:
- 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 frameworks—leveraging 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
You’ll need to have:
- 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
- Bachelor’s 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
We’d love to see:
- 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