The Senior Data Management Professional will lead the Commodities Data team in enhancing the data platform for Bloomberg's clients. This role focuses on data engineering, ensuring high data quality, and modernizing workflows. The team is responsible for managing datasets across various commodities, providing timely and accurate data for analysis. The position requires collaboration with product and engineering teams to drive strategic data initiatives and improve data systems.

• A bachelor's degree or above in Statistics, Computer Science, Quantitative Finance or other STEM related field.
• 4+ years of experience architecting, designing and implementing scalable data solutions and ETL pipelines.
• 4+ years of hands-on experience working with Python in development/production environment.
• Proven track record of owning and delivering complex, high-impact data initiatives end-to-end.
• Strong experience with distributed data systems and scalable architecture design.

• Build and maintain highly scalable, resilient and observable data pipelines supporting critical Commodities 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.
• Build and deploy automated data quality controls, including anomaly detection and proactive monitoring.
• Identify opportunities to leverage generative AI and automation to reduce manual workflows and accelerate data onboarding.

• Bloomberg offers a comprehensive suite of benefits designed to support health, financial stability, and work-life balance.