Data Manager

Asset Recruitment

  • Dublin
  • Contract
  • Full-time
  • 12 days ago
ref. 01198Data ManagerOur client a leading global pharmaceutical company with sites in various locations in Ireland, is seeking a Data Manager to join their team based in Dublin.Reporting to the Data & Governance Lead, the successful candidate you will be vital in building animal data models, working closely with Marketing, IT, and R&D leads and teams to explore the data that 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.
  • Oversee data quality and take initiative in detecting and addressing issues or irregularities in animal health records and datasets.
  • Develop and maintain data documentation and metadata management procedures for diagnostic, research, and health-related animal data.
  • Perform data profiling, analysis, and validation to maintain the accuracy, completeness, and consistency of animal health information.
  • Offer expertise and support to veterinary professionals and researchers on best practices and standards for data governance in animal health.
Requirements:
  • 5-8 years of proven hands-on experience working as a Data Steward, Data Manager, Data Custodian, or similar role.
  • 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.
  • Bachelor’s degree, or higher, in Information Systems Management or a related field.
  • Proficiency in data quality, cataloging, modeling, analysis and metadata management.
  • Experience with data management tools and technologies, such as Collibra, Immuta, and Data Bricks
  • Excellent analytical and problem-solving skills, with an ability to interpret and analyze veterinary records and diagnostic data.
  • Strong communication and interpersonal skills to liaise with stakeholders.
  • Ability to work independently and effectively prioritize tasks
Advantage:
  • Experience in Data Science or a related field.
  • Experience working for multi-national companies.
  • Strong knowledge of veterinary medicines and animal health data management.

Asset Recruitment