Summary:
Our client, a leader in the animal health sector located in Dublin, is seeking a Data Manager. The ideal candidate will be responsible for building animal data models and ensuring data quality and integrity. This position requires close collaboration with Marketing, IT, R&D teams, and veterinary professionals to develop innovative farm and animal KPIs that promote health and wellbeing. The successful candidate will be responsible for maintaining high-quality, up-to-date data, as well as supporting the development of animal health records and diagnostic data models.
Responsibilities:
- 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 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, diagnostics, and research data.
- Provide guidance and support to veterinary professionals and researchers on data governance best practices and standards in animal health.
Qualifications & Experience:
- Bachelor's degree, or higher, in Information Systems Management or a related field.
- Minimum 5 years of proven hands-on experience working as a Data Steward, Data Manager, Data Custodian, or in a similar role.
- 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, with a proven track record of building complex customer data models in international corporations.
- Experience in Data Science or a related field is an advantage.
- Strong knowledge of veterinary medicine and animal health data management principles.
- Experience working for multinational company.
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