Senior Data Management Professional
Queen Victoria Street 3, London, London · EC4N 4TQ
Negotiable
About this role
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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: AIETLKanbanPower BIPythonSQLTableauCloudSupportLLM More: We value candidates who demonstrate the necessary skills for this role, even if they do not meet our experience guidelines. Industry-recognized 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. If this sounds like you, we encourage you to apply. We’ll get in touch to discuss the next steps!
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