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MDM/Data Governance Manager

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Job Description

Job Description
Key Responsibilities:


  • Experience: 5-12 years in Master Data Management (MDM) and Data Governance within the Pharma/Life Sciences sector.
  • Data Quality and Governance: Define, implement, and communicate a comprehensive data quality and governance roadmap, including test automation and data remediation processes.
  • Process Control: Collaborate with the DevOps team to establish key data quality routines and process-level controls as needed.
  • Compliance and Training: Ensure data compliance with relevant regulations and identify training needs for data users.
  • Architectural Design: Design and document architecture across multiple levels and views (conceptual, logical, physical), including data flow and sequence diagrams.
  • Technical Solution Translation: Translate business requirements into conceptual and detailed technology solutions.
  • Customer Data Governance: Manage pharmaceutical customer data, including HCP (Healthcare Provider) and HCO (Healthcare Organization) data.
  • Stakeholder Liaison: Work closely with IT and business teams to demonstrate data assessment and integration for Informatica MDM.
  • Data Integration and Quality Management: Address data integration challenges, manage exception handling, and maintain customer data quality post-integration.
  • Technical Expertise: Hands-on experience with AWS and programming; solid knowledge of Big Data frameworks and technologies such as Spark, Kafka, Hadoop, and NoSQL.
  • Programming Proficiency: Skilled in Python and SQL, with experience in implementing solutions using these languages.
  • Data Handling: Capable of handling large patient data sets (e.g., EMR, claims data, APLD) independently.
Minimum Qualifications:


  • Bachelor's in Computer Science or IT, or a Masters in Pharmacy with relevant industry experience.
  • Graduate-level certification or program in AI/ML from a recognized institution, or equivalent post-graduate qualification in a relevant field.
Preferred Qualifications:


  • Demonstrated experience in data and analytics, including automation, data verification, data management, and remediation.
  • Proficiency in one or more programming languages such as SQL, Python, or R.
  • 5-12+ years of validated experience in life sciences and healthcare commercial analytics is advantageous.
  • Exposure to large data sets on cloud platforms such as AWS, Azure, or Google Cloud.
Skills and Certifications (required skills in bold):

  • Data Governance, MDM
  • Pharmaceutical data sets
  • Python, SQL

Flexible work from home options available.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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