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Data manager-hybrid

Dublin
PSC Biotech Corporation
Data manager
Posted: 14 June
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 foundedin 1996, headquartered in Pomona, California, USA, with Global operations inIreland, India, Singapore, Australia and the US, serving 350 clients in morethan 23 countries worldwide. We provide cloud-based software solutions forQuality Management and Regulatory Inspections, pharmaceuticals contractmanufacturing professionals, and metrology services to our clients.

'Take your Career to a new Level'

PSC Biotech disrupts the conventional consultancy modelby aligning our EVP as one of the unique selling point which includes theopportunity to work with the most talented cohort of like-minded professionalsoperating in the Pharma/ Biotech Industry. We offer a permanent contract ofemployment giving exposure of working in Top Pharmaceutical client sites in adiverse-cultural work setting.

Employee Value Proposition

Employees are the "heartbeat" of PSC Biotech, we provideunparalleled empowering career development though Learning & Developmentin-house training mentorship through constant guidance to facilitate careerprogression. We believe in creating high performing teams that can exceed ourclient's expectations with regards to quality of all scalable and business unitdeliverables, staying under budget and ensuring timelines for our deliverablesare being met.

Overview:

As a Data Manager, you will be vital in building ouranimal data models, working closely with Marketing, IT, and R&D leads andteams to explore the data our products upload to our data platform. You willinnovate new data features and work with data scientists to create innovativefarm and animal KPIs promoting animal health and wellbeing. You will beresponsible for data quality and integrity, ensuring our data is up-to-date andof high value.The Data Manager will report to the Animal Data &governance lead within our Animal Health Data Labs organization.

Requirements

Responsibilities:

- Develop and implement data models revolving aroundanimals.

- 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-relatedrequirements and ensure alignment with animal health objectives.

- Monitor data quality and proactively identify and resolveissues or anomalies in animal health records and datasets.

- Conduct data profiling, analysis, and validation toensure the accuracy, completeness, and consistency of animal health data.

- Establish data documentation and metadata managementprocesses for animal health records, diagnostic, and research data.

- Provide guidance and support to veterinary professionalsand researchers on data governance best practices and standards in animalhealth.

Requirements:

- 5-8 years of proven hands-on experience working as a DataSteward, Data Manager, Data Custodian, or similar role.

- Bachelor's degree, or higher, in Information SystemsManagement 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

- Experience harvesting data from ERP and CRM systems suchas SAP and Salesforce, with a proven track record of building complex customerdata models in international corporations.

- Excellent analytical and problem-solving skills, with anability to interpret and analyze veterinary records and diagnostic data.

- Strong communication and interpersonal skills tocollaborate with stakeholders.

- Ability to work independently and effectively prioritizetasks in dynamic environments

Advantage:

- Experience in Data Science or a related field.

- Strong knowledge of veterinary medicine and animal healthdata management principles.

- Experience working for multi-national companies.

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