Tech Stack
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Agile @ 4
Communication @ 6
Data Analysis @ 4
Data Engineering @ 4
Data Modeling @ 4
Data Pipelines
ETL
Leadership @ 7
Observability
Python @ 4
SQL @ 4
Tableau @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
Bloomberg's Data organization delivers data, news, and analytics through innovative technology. The Municipal New Issues team manages timely and accurate updates on new municipal bonds, provides client-facing support, develops data pipelines, implements data validations, improves processes, and identifies opportunities to expand data sets.
The Team Leader will manage and develop a team of Data Professionals responsible for data management, quality control, and data processes supporting the New Issues product. The role includes setting the team's strategy and product development roadmap, partnering with Engineering, Core Product, Enterprise, News, Evaluated Pricing, Index, Sales, and other internal groups.
Responsibilities
- Attract, coach, develop, and retain a team responsible for time-sensitive, high-quality data, data analysis, data management, and project management.
- Partner with Data, Product, Sales, News, Engineering, and core business groups to develop and improve fit-for-purpose data and product functionality.
- Lead proactive data quality management supported by client-focused metrics and process observability.
- Develop data modeling and ETL capabilities within the team.
- Collaborate with Engineering teams to develop robust data products for multiple client-facing products.
- Build processes and standards that meet or exceed client service-level agreements and support high-quality customer service.
- Develop the team's subject matter and data expertise in line with industry best practices and trends.
- Collaborate with global counterparts to evolve workflows and operating procedures and ensure consistent data quality across regions and products.
- Participate in technical discussions and provide insights on system design, code reviews, and other relevant areas.
Requirements
- At least 3 years of relevant leadership experience or strong relevant individual contributor experience, along with relevant domain knowledge.
- Technical experience leading a team of Data Engineers and ensuring high standards in production delivery.
- Understanding of the fixed income market, preferably the municipal market.
- Bachelor's degree, preferably in STEM, Economics, quantitative social science, or a related business field.
- Demonstrable experience in data management, such as data quality, data modeling, and/or data engineering.
- Demonstrable data analysis experience using tools such as Python, SQL, and/or Tableau.
- Strategic vision to align team goals with business and client service objectives and implement effective business and people strategies.
- Excellent communication skills and the ability to communicate business needs, advocate for the team, and explain business and operational strategy.
- Ability to establish credibility and build influential relationships with internal and external partners.
Preferred Qualifications
- Experience interpreting fixed income documentation and understanding finance and market themes.
- Strong listening skills and the ability to understand team and client needs.
- Experience with semantic technologies or an understanding of their structures.
- Understanding of data governance and data management.
- Experience using Scrum Agile processes.
Benefits
Benefits may include merit increases, incentive compensation for exempt roles, paid holidays, paid time off, medical, dental, vision, short- and long-term disability benefits, 401(k) matching, life insurance, and wellness programs.