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Data Manager -Hybrid

icon building Company : Psc Biotech
icon briefcase Job Type : Full Time

Number of Applicants

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Job Description - Data Manager -Hybrid

About PSC Biotech

 

Who are we?

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 point 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.

 

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.


Requirements

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, 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 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

 

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.

 

 



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