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Job Description
Data Manager Summary: Develop and implement data models for animal health, ensuring data quality and integrity, and collaborating with teams to identify data-related requirements.
As a Data Manager, you will play a vital role in building our animal data models, working closely with Marketing, IT, and R&D leads and teams to explore the data our products upload to our data platform.
**Key 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, diagnostic, and research data
• Provide guidance and support to veterinary professionals and researchers on data governance best practices and standards in animal health
**Requirements:**
• 5-8 years of proven hands-on experience working as a Data Steward, Data Manager, Data Custodian, or similar role
• Bachelor's degree, or higher, in Information Systems Management or a related field
• 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
• Excellent analytical and problem-solving skills, with an ability to interpret and analyze veterinary records and diagnostic data
• Strong communication and interpersonal skills to collaborate with stakeholders
• Ability to work independently and effectively prioritize tasks in dynamic environments
• 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
• Skills: Data Bricks, Salesforce, SAP