We are seeking an experienced and detail-oriented Associate Lead Data Manager to oversee data management activities across multiple clinical projects. In this role, you will ensure high-quality data delivery in line with sponsor requirements, while collaborating with cross-functional teams, sites, and external partners.

• Education: Master’s degree in Life Sciences / Postgraduate in Science / Bachelor of Pharmacy or equivalent preferred.
  
• Strong understanding of the drug development lifecycle and overall clinical research processes.
  
• Proficiency in English (spoken and written).
  
• Advanced skills in Microsoft Office applications (Excel, Word, Outlook).
  
• Strong analytical, organizational, and problem-solving abilities.
  
• Excellent communication and stakeholder management skills.
  
• Ability to manage multiple projects and meet deadlines in a fast-paced environment.
  

• Gather study set-up requirements through effective communication with stakeholders.
  
• Lead database set-up, configuration, and validation to ensure optimal study design and data integrity.
  
• Support validation and implementation of new device integrations.
  
• Perform ongoing data cleaning activities to ensure accurate, timely, and high-quality deliverables.
  
• Ensure all outputs meet established quality standards and client expectations.
  
• Train and mentor new team members.
  
• Lead internal study meetings, participate in sponsor meetings, and support audits and study kick-offs.
  
• Track and manage project progress, identify risks, and implement corrective actions in collaboration with the Data Team Lead (DTL).
  
• Oversee database revisions and support the adoption of new technologies.
  
• Collaborate with programming teams to drive process improvements and automation initiatives.
  
• Ensure compliance with all required training and electronic SOPs (eSOPs).
  
• Contribute expertise to the development, review, and maintenance of standard operating procedures (SOPs) and work instructions.
  
• Maintain effective, collaborative communication with leadership, line managers, and cross-functional teams.