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    Data Manager - Dublin, Ireland - PSC Biotech Ltd

    PSC Biotech Ltd
    PSC Biotech Ltd Dublin, Ireland

    1 week ago

    PSC Biotech Ltd background
    Description
    Job Description

    About PSC Biotech

    Who we are?
    PSC Biotech is a leading Biotech Consultancy firm founded in 1996, 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 EVP 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 of working in Top Pharmaceutical client sites in a diverse-cultural work setting.

    Employee Value Proposition

    Employees are the "heartbeat" of PSC Biotech, we provide unparalleled empowering career development though Learning & Development in-house training mentorship through 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.

    Role Description:

    · As a Data Manager, you will play a key role in building our animal data models, working closely with 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.



    Requirements


    Role Functions:

    (Functions include, but are not limited to, the following)

    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 data 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 the context of animal health.

    Experience, Knowledge & Skills

    Requirements:

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

    · 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 analyse 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.

    Advantage:

    · 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.

    Qualifications & Education:

    · Bachelor's degree in information systems management or a related field



    #LI-EL1



    Requirements
    Role Functions: (Functions include, but are not limited to, the following) 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 data 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 the context of animal health. Experience, Knowledge & Skills Requirements: · 5-8 years of proven hands-on experience working as a Data Steward, Data Manager, or similar role. · 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 analyse 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. Advantage: · 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. Qualifications & Education: · Bachelor's degree in information systems management or a related field #LI-EL1
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