Data Manager

As a Data Manager you are responsible for aligning the data strategy, priorities, and data initiatives with business objectives, while overseeing and developing the organization's data governance policies. You enable the business to manage their own data, safeguard data quality and security, and play a crucial role in structuring, analyzing, and optimizing data used in clinical research, production processes, and regulatory reporting.

In addition, you are responsible for overall data integrity and optimization within ERP systems (SAP) and CRM systems (Veeva). You will work closely with internal stakeholders such as IT, R&D, Compliance, Quality Control, and the IT Data Architect to ensure efficient and secure data storage and processing.

Key ResponsibilitiesData Governance

• Ensure compliance with pharmaceutical laws and regulations regarding data management.
• Implement data governance processes, including data ownership.
• Chair the Data Governance Committee, ensuring alignment between business, IT, and compliance on data standards and quality.
• Collaborate with compliance and quality departments to support audits and inspections.

Data Management & Structure

• Develop and implement data management policies that meet regulatory requirements (GxP, FDA 21 CFR Part 11, GDPR).
• Monitor data integrity, consistency, and quality within IT systems.
• Structure end-to-end data objects across business processes, including master data, transactional data, and historical data.
• Set up and develop the metadata management model to store and manage all required metadata (master data storage & naming conventions, data stewards & owners, tables, attributes, etc.).
• Chair the Data Definition Board to ensure uniformity and quality of all data definitions and standards within the organization.
• Track data movements across different systems to ensure visibility and transparency of data flows.

Data & Quality Control

• Chair the Data Quality Board to resolve cross-process data issues.
• Monitor data consistency and quality within systems such as SAP and Veeva.
• Oversee the development of data validation rules and controls to safeguard data quality.
• Supervise data integration from various sources and systems for reporting purposes.
• Manage and optimize master data and metadata standards.

Stakeholder Collaboration

• Collaborate with and train data stewards and data owners to enable them to fulfill their responsibilities.
• Partner with the IT Data Architect in designing and implementing scalable and future-proof data architectures.
• Maintain and enhance IT solutions for data management, such as LIMS, ERP, and EDC systems.
• Coordinate system integrations and data migration projects.
• Collaborate with software developers and external vendors on data solutions.