The Senior Manager, Clinical Data Management Operations, is responsible for meeting program(s) or overall Therapeutic Area (TA) data management and milestones and allocating adequate and appropriate resources for the oversight of data management activities outsources to Clinical Research Organizations and Functional Sourcing Providers across all drug programs.
He / she is accountable for driving high standards for individual and team accomplishments of CDM operations staff. He / She supports all aspects of recruitment, training and development of CDM operations staff, and ensuring that skills and abilities are in line with future direction and strategies for CDM.
This person participates in the development and implementation of best practices for data management and ensures these practices are employed consistently across studies and drug development programs.
He / She is responsible for contributing to strategy, policy, operations management and capability building in CDM operations by participating / leading internal and / or cross-functional teams.
He / She collaborates closely with all CDM and / or ADS functional heads and other functional leadership peers to ensure adequate planning and resources to ensure delivery of project / program timelines and quality goals.
May serve as a study-level Data Management Operations Lead as required.
5% - Strategy : Contributes to the operational strategy for the Clinical Data Management Group in support of the overarching ADS Departmental Strategy.
capacity planning; vendor management; implementation of technology solutions; and cross-functional communication. As required, serves as a study-level DMOL.
and consistent global performance and standard compliant business practices.
and development of departmental staff. Provides leadership and management of personnel in CDM, cascading information and goals, and proposing operational strategy / improvements.
Minimum Experience Requirements
Minimum Education Requirements
Bachelor’s degree, preferably in a scientific discipline such as Statistics, Mathematics, Economics, Computer Science, IT, Biology, Social Science, etc.
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