The Senior Data Management Professional - Automation Engineer role is focused on improving automation rates within the Bloomberg Funds Data team. This team manages extensive public funds data, ensuring its accuracy and consistency across various datasets. The role involves applying modern technologies, including AI and machine learning, to enhance data quality and operational efficiency. The successful candidate will work collaboratively with various stakeholders to develop strategies that optimize data value for customers.

• A BA/BS degree or higher.
• 3+ years of Python programming and scripting in a production environment.
• Ability to work independently as well as in a distributed team environment.
• Exceptional problem-solving skills, numerical proficiency, and high attention to detail.
• Experience building or maintaining automated workflows, pipelines, or data systems.
• Understanding and experience in large-scale distributed systems.
• Solid ability to combine technical data science traits with good business insight.
• Strong analytical abilities with a passion for data and evidence-based decision-making.
• Excellent written and verbal communication skills, especially when explaining technical processes and solutions to business partners and management.

• Analyze and optimize existing workflows, identifying opportunities for automation and scalability.
• Perform quarterly reports outlining data profiling and apply statistical methods to support data quality measurements.
• Design, build, and maintain data pipelines and tools to improve straight-through processing and accuracy.
• Evaluate and apply AI/ML/NLP techniques to enhance extraction processes and decision-making.
• Collaborate with subject matter authorities in Data, as well as colleagues in Product and Engineering, on roadmaps to improve automation rates and ensure consistency in quality.
• Lead projects globally to improve data quality for a variety of customer types and use cases.
• Employ quantitative methods to advise and enhance decision-making capability in business planning, process improvement, and solution management.
• Keep up with industry trends, standards, and innovation in the data quality domain.
• Work in a fast-paced, multifaceted, and collaborative setting.

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