Senior Data Management Professional Data Quality Entities Data (Private Markets)
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Job Summary
Senior Data Management Professional - Data Quality - Entities Data (Private Markets)
Location
London
Business Area
Data
Ref #
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 Data we are responsible for delivering this data news and analytics through innovative technology quickly and accurately. We optimize the value of our data by combining domain and technical expertise to make data fit-for-purpose timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and deliver a high level of customer service.
Our Team
The Entity Data team is responsible for the creation enrichment and support of core entity data including legal entities issuers and corporate hierarchies for over 7 million public and private companies. This data underpins foundational reference data private markets and risk management. The team partners closely with Engineering Product and other Data groups to ensure our data management processes ingestion pipelines quality controls and delivery methods evolve with market needs.
Whats the Role
As a Data Quality Manager you will define and execute the quality strategy that ensures our datasets are reliable consistent and ready for critical client use cases. You will lead efforts to design and implement effective data management practices establish quality metrics and deliver transparent reporting. Your work will directly support the transformation of our data workflows enabling scalability for private markets and beyond.
This role requires a mix of technical expertise governance mindset and stakeholder engagement skills. Youll collaborate closely with Engineering Product and internal Centers of Excellence to ensure our datasets evolve in line with industry standards while also meeting client expectations for accuracy coverage and usability.
Well Trust You To:
- Develop and deliver the data quality strategy for the Entities product aligning it with client use cases and industry best practices.
- Define measure and monitor data quality metrics that ensure transparency and accountability across workflows.
- Partner with Product Engineering and Data teams to embed quality-by-design principles into ingestion transformation and delivery pipelines.
- Perform data profiling statistical analysis and root cause investigations to validate approaches and recommend improvements.
- Lead initiatives to modernize workflowsadvocating for automation AI/ML-enabled quality checks and scalable infrastructure enhancements.
- Promote data quality awareness and education across the organization empowering colleagues to embed quality into their work.
- Stay ahead of industry developments in reference data and private markets to shape our data strategy.
Youll Need to Have:
*Please note we use years of experience as a guide but we certainly will consider applications from all candidates who are able to demonstrate the skills necessary for the role.
- 3 years of professional experience in data science data quality management reference data or data governance
- Excellent project management skills and the ability to collaborate across teams and geographies
- Strong communication skills to influence stakeholders as well as present complex findings clearly to both technical and non-technical audiences
- Strong coding skills in Python (e.g. OOP PySpark Pandas NumPy etc) and experience with SQL
- Strong statistical & analytical skills (e.g. sampling methods) attention to detail and a proactive empirical mindset
- Familiarity with data modelling & modern data tech stack tools such as Airflow dbt Kafka Iceberg Trino Superset etc.
- Familiarity with some data visualization tools (Tableau QlikSense Power BI or similar) to communicate quality insights
- Familiarity with at least one version control system (e.g. Git) and collaborative development platform (e.g. GitHub GitLab)
- Familiarity with ETL processes data pipelines workflow & schema design
- Comfort working in a dynamic evolving environment balancing long-term strategy with immediate operational needs
Wed love to see:
- Industry-recognized data management certifications (e.g. DAMA CDMP DCAM).
- Experience with reference data entity/issuer data or private markets datasets including integration of third-party providers.
- Exposure to Agile methodologies such as Scrum or Kanban.
- Hands-on knowledge of data governance and quality frameworks including metadata management and regulatory considerations.
- Familiarity with modern data infrastructure and architecture (APIs pipelines cloud platforms) with exposure to AI/ML or LLM-based enrichment solutions for anomaly detection and automation.
- Exposure to Agile methodologies such as Scrum or Kanban.
- Awareness of emerging trends in Private Markets data including the complexities of non-public entities and their role in financial workflows.
- Understanding of financial use cases that depend on accurate entity data such as client onboarding compliance/KYC counterparty risk and issuer classification.
Does this sound like you
Apply if you think were a good match. Well get in touch to let you know what the next steps are!
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Required Experience:
Senior IC
About Company
Bloomberg is the world's primary distributor of financial data and a top news provider of the 21st century. A global information and technology company, we use our dynamic network of data, ideas and analysis to solve difficult problems every day. Our customers around the world rely on ... View more
