Senior Data Management Professional - Data Quality - Corporate Actions Data

Description & Requirements

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.

What’s the role?

In this role, you will help build the future of Corporate Actions data by combining deep domain expertise, operational insight, and technical capability to improve how we source, process, validate, and deliver high-quality Corporate Actions announcement data to our clients. You will play a key role in transforming legacy workflows, driving automation, and applying AI-led solutions to modernize Corporate Actions processing at scale.

We’ll trust you to:

• Bring deep knowledge of Equity Corporate Actions to help develop strategy for datasets, workflows, and automation priorities
• Analyze legacy operational processes and find opportunities to simplify, re-engineer, and automate them at scale
• Partner with Data Operations, Product, and Engineering teams to deliver workflow improvements and scalable automation solutions
• Apply business process reengineering principles to reduce manual touchpoints, improve controls, and enhance processing efficiency
• Use your understanding of Corporate Action market sources, announcement flows, scrubbing practices, and messaging standards to create clean, accurate data from multiple inputs across several formats
• Define and enhance mapping of Corporate Actions data from multiple announcement formats into normalized internal data models, while driving automation of source data ingestion, interpretation, normalization, and quality control across various action types
• Assess downstream consumption of Corporate Actions data and ensure processing reflects the importance of quality, completeness, and timeliness
• Contribute to AI and LLM-driven initiatives by identifying practical use cases and helping deliver solutions within Corporate Actions workflows
• Define business requirements and collaborate with Engineering teams to implement durable, scalable automated solutions
• Support agile project delivery through backlog management, sprint planning, Jira workflows, and PI planning
• Stay current on market structure, issuer and exchange announcement practices, messaging standards, and broader Corporate Actions industry developments

You’ll need to have:

• Bachelor’s degree in Finance, Business, Data, Technology with at least 4 years of relevant experience, or a Master’s degree with at least 3 years of relevant experience
• 4+ years of relevant professional experience in Corporate Actions, automation, data management, operations transformation, or a related domain
• 4+ years of Python programming and scripting in a production environment
• Strong knowledge of Equity Corporate Actions, including event types, sourcing, validation, and clean record generation
• Experience working in high-volume Corporate Actions environments, with a strong understanding of operational dependencies, controls, and risks
• Proven experience reviewing legacy processes and driving workflow automation or business process reengineering initiatives
  
  Strong understanding of downstream Corporate Actions use cases and the impact of quality and timeliness on clients and products
• Knowledge of Corporate Action announcement standards, including ISO 15022 and ISO 20022, with experience working with both formats
• Familiarity with multi-format data ingestion, data normalization, exception handling, and control frameworks across market data or reference data domains
• Experience applying AI and LLM capabilities to business problems, with delivered use cases in Corporate Actions or adjacent operational workflows
• Proficiency in Python or a similar programming language, along with strong SQL skills and experience working with large datasets for analysis and process improvement
• Experience working in an agile delivery environment, including Jira, sprint…