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Data manager-hybrid

Dublin
Psc Biotech Corporation
Data manager
Posted: 6 February
Offer description

Industry Pharma/Biotech/Clinical Research
Work Experience 5+ years
City Dublin
State/Province Dublin
Country Ireland
Job Description
About PSC Biotech
Who are we?
PSC Biotech is a leading Biotech Consultancy firm founded in ****, headquartered in Pomona, California, USA, with global operations in Ireland, India, Singapore, Australia and the US, serving 350 clients in more than 23 countries worldwide.
We provide cloud-based software solutions for Quality Management and Regulatory Inspections, pharmaceuticals contract manufacturing professionals, and metrology services to our clients.
Take your Career to a new Level
PSC Biotech disrupts the conventional consultancy model by aligning our Employee Value Proposition as one of the unique selling points which includes the opportunity to work with the most talented cohort of like-minded professionals operating in the Pharma/Biotech Industry.
We offer a permanent contract of employment giving exposure to working in Top Pharmaceutical client sites in a diverse-cultural work setting.
Employee Value Proposition
Employees are the "heartbeat" of PSC Biotech; we provide empowering career development through Learning & Development, in-house training, mentorship, and constant guidance to facilitate career progression.
We believe in creating high performing teams that can exceed our client's expectations with regards to quality of all scalable and business unit deliverables, staying under budget and ensuring timelines for our deliverables are being met.
Overview
Overview
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.
The Data Manager will report to the Animal Data & governance lead within our Animal Health Data Labs organization.
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.
Qualifications
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, cataloging, modeling, analysis, and metadata management.
Experience with data management tools and technologies, such as Collibra, Immuta, and Databricks.
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 prioritise tasks in dynamic environments.
Advantages
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.
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