Conduct comprehensive assessments of the clinical data management processes, including data ingestion, storage, transformation, integration, and delivery.
Collaborate with cross-functional teams to gather requirements and understand data management challenges and opportunities.
Analyze data governance frameworks, policies, and procedures to ensure compliance with industry standards and regulations.
Identify gaps and inefficiencies in existing data management processes and propose solutions for improvement.
Evaluate the effectiveness and efficiency of data management tools, platforms, and technologies currently in use.
Develop and maintain data architecture blueprints, outlining data flow, integration points, and system dependencies.
Collaborate with data stakeholders to define and implement data quality standards, ensuring data accuracy, consistency, and completeness.
Design and implement data management frameworks, data models, and data dictionaries to facilitate data integration and accessibility.
Provide guidance and support to development teams in the implementation of data management best practices.
Stay up to date with emerging trends and advancements in data management technologies and tools.