Purpose

As a Data Manager, you will be vital 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. You will innovate new data features and work with data scientists to create innovative farm and animal KPIs promoting animal health and wellbeing. You will be responsible for data quality and integrity, ensuring our data is up-to-date and of high value.

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, with a proven track record of building complex customer data models in international corporations.
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.