This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a Sr. Manager, Data Management based in India.
As a Senior Manager, Data Management, you will lead clinical data management teams and oversee project delivery across a portfolio of clinical research studies. You will play a key role in ensuring that data management activities meet stringent quality standards, regulatory requirements, project timelines, and budget expectations. Working closely with senior leadership and study management teams, you will coordinate resources, support operational planning, and drive continuous improvements across data management processes. You will also mentor and develop team members, fostering a culture of accountability, collaboration, and professional growth. This leadership opportunity combines people management, operational oversight, and clinical data expertise within a global, fast-paced clinical research environment. Your contribution will help strengthen service quality, improve team performance, and support the successful delivery of clinical trials.
How Jobgether works:
We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team.
We appreciate your interest and wish you the best!
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Accountabilities:
Team Leadership and People Management: Lead, supervise, and develop clinical data management personnel, including recruitment, onboarding, goal setting, performance evaluations, coaching, mentoring, and professional development. Support employee-related decisions and review administrative matters such as time records, expenses, leave requests, and overtime.
Portfolio Oversight and Project Delivery: Provide guidance, oversight, and coaching to project teams to ensure that clinical data management activities are completed accurately, on time, within budget, and in line with client expectations.
Resource Planning and Allocation: Manage staffing requirements and workload distribution across assigned teams and projects. Coordinate global resource planning, monitor capacity, and collaborate with senior management to address resource needs and optimize utilization.
Quality Assurance and Compliance: Ensure that team members follow established standard operating procedures, documented processes, regulatory requirements, and client-specific guidelines. Promote consistent quality standards and operational excellence across all assigned activities.
Clinical Study Support: Support the operational execution of clinical studies and portfolios, working closely with study managers to address challenges, maintain project progress, and ensure that deliverables meet quality and timeline requirements.
Process Development and Improvement: Contribute to the development, implementation, and continuous improvement of data management processes, procedures, and operational standards. Identify opportunities to increase efficiency, improve consistency, and strengthen service delivery.
Training and Knowledge Development: Coordinate training initiatives and provide ongoing guidance to team members to strengthen technical expertise, improve adherence to procedures, and maintain consistent working practices.
Performance and Workload Management: Monitor team performance, project milestones, and workload demands. Establish clear priorities, address delivery risks, and adjust plans when project requirements or resource needs change.
Stakeholder Collaboration: Work closely with senior management, study managers, and cross-functional stakeholders to align operational priorities, resolve issues, and support successful project execution.
Confidentiality and Data Protection: Maintain strict confidentiality when handling clinical data, client information, and proprietary materials, ensuring that all activities follow applicable policies and procedures.
Requirements:
Education: Bachelor's degree or equivalent qualification, supported by relevant academic, technical, or vocational training. A combination of appropriate education, training, and directly relevant experience may also be considered.
Professional Experience: Approximately 8–14 years of relevant professional experience, with at least 4 years in a leadership or people-management role.
Clinical Data Management Expertise: Strong understanding of clinical data management processes and the ability to act as a subject matter expert in data management activities supporting clinical research studies.
Leadership and Team Development: Demonstrated ability to manage, motivate, and develop team members through coaching, mentoring, performance management, delegation, and professional development planning.
Operational and Project Management: Experience overseeing multiple projects or a portfolio of activities, allocating resources, managing workloads, and ensuring delivery within established timelines and budgets.
Regulatory and Procedural Compliance: Ability to apply relevant regulatory guidelines, standard operating procedures, and client requirements consistently across clinical data management operations.
Quality and Attention to Detail: Strong attention to detail and numerical accuracy, with a commitment to maintaining high-quality deliverables and identifying discrepancies before they affect project outcomes.
Analytical and Problem-Solving Skills: Strong analytical reasoning and the ability to assess operational challenges, identify root causes, and implement practical solutions.
Communication Skills: Excellent written and verbal communication skills, including strong English language proficiency and grammar. Ability to communicate expectations clearly and collaborate effectively with colleagues and stakeholders.
Interpersonal Effectiveness: Strong relationship-building and collaboration skills, with the ability to motivate teams, manage competing priorities, and work effectively with senior leadership and cross-functional partners.
Planning and Adaptability: Ability to establish realistic timelines, monitor progress, anticipate changes in project requirements, and adjust priorities and resource allocations accordingly.
Confidentiality and Professional Judgment: Demonstrated discretion when handling sensitive clinical data and proprietary client information.
Working Environment: Ability to perform effectively in a structured professional environment while collaborating with distributed teams and managing multiple responsibilities.
Benefits:
Fully Remote Work: Opportunity to work remotely from India.
Full-Time Employment: A full-time leadership position with a standard Monday-to-Friday work schedule.
Leadership Opportunities: Take responsibility for team development, resource planning, and clinical data management operations.
Professional Development: Opportunities to strengthen clinical data management expertise, leadership capabilities, and operational management skills.
Collaborative Environment: Work with senior management, study managers, and cross-functional teams in an international clinical research setting.
Meaningful Work: Contribute to the quality and efficiency of clinical research activities that support the development of healthcare treatments and therapies.
Process Improvement and Innovation: Help shape data management practices, improve operational performance, and promote continuous learning across teams.
