Data Governance MDM Specialist : Pharma/Healthcare Background : Fulltime role - NO C2C
- Full Time, onsite
- FutureTech Consultants LLC
- Hybrid3 days onsite to office in a week, United States of America
Salary undisclosed
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Role: Data Governance Location: Danbury, CT (Hybrid - onsite 3 days every week) Type: Full-time/Permanent
MUST HAVE:
5+ years of experience
Pharma/Healthcare background
Programming using Python/ SQL
Experience with Patient data governance.
MDM Concepts
Key Requirements/Responsibilities
5-12 years of experience in MDM / Data Governance within Pharma / Life sciences domain
Define, implement, and communicate data quality and governance roadmap including test automation and data remediation
Define and execute process controls with Dev Ops team to define key Data Quality routines that need to be instrumented as well as process-level controls where needed.
Ensuring compliance of data with regulations and identify training needs for all data users
Design and document architecture at multiple levels (high-level in detail) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Hands on to Translate business requirements into conceptual and detailed technology solutions
Hands on in Customer Data Governance on pharmaceutical customer data like HCP and HCO
Liaison with the IT and business and demonstrate data assessment and data integration for Informatica MDM
Validate data integration challenges, perform exception handling, and partner concern
Handle customer data quality post integration
AWS hands-on expertise and programming background. Good knowledge of Big-Data frameworks and related technologies (Spark, Kafka, Hadoop, NoSQL...)
Experience in Implementation of Python, SQL
Strong ability to handle large volumes of patient data like EMR, Claims data, APLD independentlyPreferred Qualifications
Experienced within data and analytics domain including experience in automation
Experience working with data verification, data management, and data maintenance and experience of remediation data gaps.
Experience with one or more programming language such as SQL, Python, R, etc.
5-12+ years of validated experience in life sciences and healthcare commercial analytics will be advantage
Exposure to working with large data sets in cloud platforms like AWS, Azure, Google cloud
MUST HAVE:
5+ years of experience
Pharma/Healthcare background
Programming using Python/ SQL
Experience with Patient data governance.
MDM Concepts
Key Requirements/Responsibilities
5-12 years of experience in MDM / Data Governance within Pharma / Life sciences domain
Define, implement, and communicate data quality and governance roadmap including test automation and data remediation
Define and execute process controls with Dev Ops team to define key Data Quality routines that need to be instrumented as well as process-level controls where needed.
Ensuring compliance of data with regulations and identify training needs for all data users
Design and document architecture at multiple levels (high-level in detail) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
Hands on to Translate business requirements into conceptual and detailed technology solutions
Hands on in Customer Data Governance on pharmaceutical customer data like HCP and HCO
Liaison with the IT and business and demonstrate data assessment and data integration for Informatica MDM
Validate data integration challenges, perform exception handling, and partner concern
Handle customer data quality post integration
AWS hands-on expertise and programming background. Good knowledge of Big-Data frameworks and related technologies (Spark, Kafka, Hadoop, NoSQL...)
Experience in Implementation of Python, SQL
Strong ability to handle large volumes of patient data like EMR, Claims data, APLD independentlyPreferred Qualifications
Experienced within data and analytics domain including experience in automation
Experience working with data verification, data management, and data maintenance and experience of remediation data gaps.
Experience with one or more programming language such as SQL, Python, R, etc.
5-12+ years of validated experience in life sciences and healthcare commercial analytics will be advantage
Exposure to working with large data sets in cloud platforms like AWS, Azure, Google cloud
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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