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 workflow efficiencies and implement technology solutions to enhance our systems, products, and processes.
Our Team:
The sustainable debt market has witnessed significant growth in recent years, with global sustainable debt issuances surpassing USD 6 trillion. Our team plays a critical role in managing and advancing Sustainable Fixed Income (SFI)-related content for approximately 18,000 Green, Social, Sustainability, Sustainability Linked, and Transition instruments across Corporate and Sovereign markets. This includes being responsible for security-specific attributes, regulatory or market-recognized principles and alignments, relevant analytics, and proprietary sustainable debt assessments that are used in the Bloomberg Terminal and Enterprise products.
Our engagement with the sustainable finance community allows us to explore new ideas and validate solutions, applying problem-solving skills to enhance our systems, products, and processes. Collaboration across functions, deep domain expertise, strategic use of AI, and strong data management are essential to consistently provide high-quality data to our growing client base.
The Role:
We are looking for a highly qualified Senior Data Management Professional to help lead the next generation of our data platform. This role requires a strong data engineering foundation combined with deep ownership of data quality, where quality is built directly into pipelines, systems, and architecture rather than managed as a separate function. This role is designed for someone who thrives in a complex environment and consistently delivers high-impact, scalable solutions.
We'll trust you to:
- Build and maintain highly scalable, resilient and observable data pipelines supporting critical SFI datasets
- Lead the modernization of legacy workflows, reducing technical debt and improving maintainability and performance
- Perform deep data analysis including profiling and root cause analysis to support data-driven decision making and validate improvements
- Build and deploy automated data quality controls, including random sampling, data validation rules, outlier detection etc.
- Apply machine learning techniques such as natural language processing, entity extraction and LLM to improve data ingestion and extraction
- Seek opportunities to harness generative AI and automation to reduce manual workflows and accelerate data onboarding
- Develop and improve validation frameworks for agentic artifacts to ensure quality, reliability and appropriate controls
- Establish best practices around data architecture, pipeline design and workflow orchestration
- Understand how clients consume data across Bloomberg products and translate those needs into measurable data quality and product improvements
- Partner with Engineering to align on platform evolution, scalability and system design
- Act as a technical leader and mentor, raising the bar for code quality, design thinking and execution across the team
- Apply your proven project management expertise to ensure technical projects are aligned with requirements and stay on track
You'll need to have:
- Bachelor’s degree, preferably in Statistics, Computer Science, Quantitative Finance, other STEM related field, or equivalent qualifications
- Minimum of 4 years of experience architecting, designing and implementing scalable data solutions and ETL pipelines, including monitoring, remediation and data management workflows across diverse data sources
- 4+ years of hands-on experience working with Python in development/production environment
- Proven track record of delivering complex, high-impact data initiatives end-to-end
- Familiarity with various databases, schemas, modeling, as well as structured and unstructured formats (PDF, HTML, XBRL, JSON, CSV etc.)
- Strong communication and interpersonal skills, with the proven ability to influence technical direction, mentor team members, clearly communicate complex concepts and methodologies, and effectively collaborate across diverse and distributed teams
- Fluency in both written and spoken English
- Evidence of continuous career growth within an organization
- Capability to work independently and as part of a diverse team
We'd love to see:
- Experience in Bloomberg products, Bloomberg Terminal fluency and/or Bloomberg Data Workflows
- Hands-on experience applying machine learning or AI techniques in data workflows such as classification, NLP, anomaly detection or LLM-assisted workflows
- Strong experience in data quality management, including defining metrics, performing root cause analysis and driving measurable improvements in data reliability
- Experience building observable systems with monitoring, alerting and data reliability frameworks
- Familiarity with data visualization techniques and tools
If this sounds like you:
Apply if you think we’re a good match. We'll get in touch to let you know what the next steps are, but in the meantime feel free to have a look at this:
http://www.bloomberg.com/professional
Learn more about our office and benefits:
