Sr Clinical Data Team Lead

The Lead Data Manager acts as the primary data management contact for one or more assigned projects and serves as a liaison between Data Management, Project Leads, clients, and other internal teams. This role is responsible for overseeing the end-to-end data management process, ensuring high-quality deliverables are completed on time and within budget, and guiding junior staff in their responsibilities.

Key Responsibilities:

• Project Leadership & Oversight:
• Lead all data management activities for high-volume or complex studies from start-up through close-out.
• Ensure adherence to project timelines, scope, quality standards, and budget.
• Directly apply protocol knowledge to data management processes and guide others in doing the same.
• Client & Stakeholder Communication:
• Act as the primary point of contact for clients regarding data management tasks.
• Communicate effectively with internal stakeholders and cross-functional teams.
• Prepare and present study-specific status reports to clients and project leadership.
• Risk Management & Reporting:
• Monitor and analyze study metrics; escalate issues as appropriate based on organizational risk management processes.
• Identify potential out-of-scope activities and participate in the contract modification process.
• Team Leadership & Mentoring:
• Delegate tasks to team members and ensure timely and quality completion of project activities.
• Mentor and train junior data management staff on study processes and systems.
• Act as a departmental resource and subject matter expert in data management processes.
• Resource & Budget Management:
• Assist in project resource forecasting and timeline planning.
• Support the oversight of project budgets and resource allocation.
• Contribute to identification and justification of out-of-scope work.
• Business Development Support:
• Participate in bid defense meetings and contribute to proposal development when needed.
• Represent Data Management in client-facing discussions during the business development process.

Qualifications:

Education:

• Bachelor s degree or equivalent in life sciences, computer science, health sciences, or a related field.

Experience:

• Minimum of 5+ years of relevant clinical data management experience.
• Demonstrated success in managing complex or high-volume clinical studies.