Data Manager

  • Contract
  • Dublin

Website TPM05466

Our client, a biotechnology company in South Dublin, is looking for a Data Manager. The ideal candidate will play a key role in building our client’s animal data models, working closely with R&D leads and teams to explore the data products upload to our client’s data platform. The successful candidate will innovate new data features and work with data scientists to create innovative farm and animal KPIs promoting animal health and wellbeing, while being responsible for data quality and integrity, ensuring the data is up-to-date and of high value.


  • Develop and implement data models revolving around animals.
  • Define and enforce data standards, naming conventions, and classification schemes.
  • Collaborate with marketing, veterinary professionals, researchers, data engineers, and data management teams to identify data-related requirements and ensure alignment with animal health objectives.
  • Monitor data quality and proactively identify and resolve data issues or anomalies in animal health records and datasets.
  • Conduct data profiling, analysis, and validation to ensure the accuracy, completeness, and consistency of animal health data.
  • Establish data documentation and metadata management processes for animal health records, diagnostic, and research data.
  • Provide guidance and support to veterinary professionals and researchers on data governance best practices and standards in the context of animal health.

Qualifications & Experience:

  • Bachelor’s degree in Information Systems Management or a related field.
  • Minimum of 5 to 8 years’ proven hands-on experience working as a Data Steward, Data Manager, or similar role.
  • Experience in Data Science or a related field.
  • Strong knowledge of veterinary medicine and animal health data management principles.
  • Experience working for multi-national companies.
  • Proficiency in data quality, cataloguing, modelling, analysis, and metadata management.
  • Experience with data management tools and technologies, such as Collibra, Immuta, and Data Bricks.
  • Experience harvesting data from ERP and CRM systems such as SAP and Salesforce.

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