Senior Data Management Professional

Bloomberg; Greater London; On-site; GBP 55,000 - 95,000; Full time

Job summary

Bloomberg seeks a Senior Data Management Professional to lead data quality, reference data, and governance initiatives across the Entities product teams in a global context. You will define and execute the data quality strategy, perform profiling and analyses, and embed quality by design into ingestion and delivery pipelines.

Experience with Python, SQL, ETL, and BI tools such as Power BI or Tableau is preferred, enabling data-driven decisions for critical client use cases and cross‑functional

Qualifications

• 4+ years in data quality management, reference data or governance.
• Hands-on data profiling and analytics with Python, R or SQL.
• Experience with ETL, data pipelines and workflow design.

Responsibilities

• Define and execute a data quality strategy for the Entities product.
• Measure, monitor, and improve data quality metrics and pipelines.
• Collaborate with Product, Engineering and Data teams across geographies.

Skills

Data quality

Reference data

Data governance

Python

SQL

ETL

Data visualization

Tableau

Power BI

Analytical skills

Tools

Tableau

Power BI

Python

SQL

ETL

Job description

Salary: £55,000 - 95,000 per year

Requirements

• As a Senior Data Management Professional with at least 4 years of experience in data quality management, reference data, or data governance, you will possess hands‑on experience with data profiling and analysis tools such as Python, R, or SQL. Familiarity with ETL processes, data pipelines, and workflow design is essential. You will also have experience using data visualization tools (e.g., Tableau, QlikSense, Power BI) to communicate quality insights. Strong analytical skills, attention to detail, and a solutions‑oriented mindset are key attributes we seek. You should be comfortable collaborating across teams and geographies, balancing long‑term strategy with immediate operational needs.

Responsibilities

• In this role, you will define and execute a data quality strategy that ensures our datasets are reliable and ready for critical client use cases. You will develop and deliver the data quality strategy for the Entities product while defining, measuring, and monitoring data quality metrics. Partnering with Product, Engineering, and Data teams, you’ll embed quality‑by‑design principles into ingestion, transformation, and delivery pipelines. Your responsibilities will also include performing data profiling, conducting statistical analyses, and leading initiatives to modernize workflows through automation and AI/ML‑enabled quality checks. Additionally, you will promote data quality awareness across the organization and stay ahead of industry developments in reference data and private markets.

Technologies

• AI
• ETL
• Kanban
• Power BI
• Python
• SQL
• Tableau
• Cloud
• Support
• LLM

More

We value candidates who demonstrate the necessary skills for this role, even if they do not meet our experience guidelines. Industry‑recognised data management certifications (e.g., DAMA, CDMP, DCAM) will be a plus, as will experience with reference data, private markets datasets, and Agile methodologies such as Scrum or Kanban. Exposure to data governance frameworks and modern data infrastructure, along with an understanding of financial use cases that depend on accurate entity data, is also beneficial. Discover what makes our company unique—join us for an inside look at our culture, values, and the people behind our success.