Manager, Program Data Support
Location: Hyderabad, India
Work Type: On-Site
Department: Clinical Development
Position Summary
The Manager, Program Data Support is responsible for leading, developing, and managing a team of Data Management Associates and Senior Associates supporting clinical data management activities across multiple studies and programs. This role focuses on team leadership, resource management, capability development, quality oversight, and operational excellence to ensure the successful execution of clinical data management deliverables.
The position partners closely with study teams, program stakeholders, resourcing leads, and quality functions to maintain high-quality execution, optimize resource utilization, and drive continuous improvement across clinical data operations.
Key Responsibilities
Team Leadership & People Management
Recruit, onboard, and train new team members in partnership with functional training teams.
Lead, mentor, and develop Data Management Associates and Senior Associates.
Provide ongoing coaching, performance feedback, and career development support.
Foster a culture of accountability, collaboration, transparency, and continuous learning.
Address performance concerns promptly and fairly through structured development plans.
Build and maintain a highly skilled, engaged, and productive team.
Resource Allocation & Workforce Planning
Partner with resourcing leads to allocate team members based on:
Skills and expertise
Study requirements
Capacity and workload
Development opportunities
Monitor team utilization and workload distribution.
Forecast resource needs and identify potential staffing gaps.
Proactively recommend rebalancing plans to optimize resource allocation.
Ensure team members are adequately prepared for study assignments, including:
Training
System Access
Knowledge Transfer
Role Expectations
Clinical Data Operations Support
Oversee execution of clinical data management support activities across multiple studies and programs.
Ensure team members deliver high-quality support for:
Study Startup Activities
Data Review and Cleaning
Query Management
Data Reconciliation
Issue Resolution
Study Conduct Activities
Monitor operational performance and ensure delivery against timelines and quality expectations.
Capability Development & Training
Identify skill gaps, process knowledge deficiencies, and training needs within the team.
Develop targeted capability-building programs.
Promote standardized approaches, templates, playbooks, and best practices.
Support knowledge sharing and cross-training initiatives.
Encourage continuous professional development and technical growth.
Process Improvement & Operational Excellence
Drive continuous improvement initiatives across clinical data operations.
Capture and share lessons learned across programs and studies.
Promote efficient and scalable ways of working.
Reduce operational variability, rework, and inefficiencies.
Implement practical solutions that improve productivity, quality, and consistency.
Stakeholder Management
Serve as the primary escalation point for issues related to:
Team Performance
Work Quality
Responsiveness
Resource Availability
Build strong partnerships with:
Study Teams
Program Teams
Data Management Leaders
Clinical Operations Teams
Quality & Compliance Functions
Ensure alignment on priorities, timelines, and expectations.
Facilitate effective communication between delivery teams and support functions.
Quality & Compliance Oversight
Ensure all team activities comply with:
Standard Operating Procedures (SOPs)
Work Instructions
Regulatory Requirements
Quality Standards
Support audit and inspection readiness activities.
Ensure documentation and evidence are complete, accurate, traceable, and appropriately maintained.
Partner with Quality Assurance teams to implement corrective and preventive actions when needed.
Performance Monitoring & Reporting
Monitor key operational metrics, including:
Capacity Utilization
Cycle Time
Error Rates
Rework Levels
Backlog Status
Resource Allocation Health
Analyze trends and identify opportunities for improvement.
Provide management reporting on:
Team Performance
Resource Capacity
Utilization
Skills Coverage
Workforce Planning
Resource Management Support
Support workforce planning and hiring activities.
Assist with:
Hiring Coordination
Resource Forecasting
Allocation Tracking
Capacity Planning
Contribute to portfolio planning and organizational growth initiatives.
Basic Qualifications
Candidates must meet one of the following requirements:
Doctorate Degree, OR
Master's Degree with 2 years of Clinical Data Management or Clinical Data Operations experience, OR
Bachelor's Degree with 4 years of Clinical Data Management or Clinical Data Operations experience, OR
Associate Degree with 8 years of Clinical Data Management or Clinical Data Operations experience, OR
High School Diploma/GED with 10 years of Clinical Data Management or Clinical Data Operations experience.
Preferred Qualifications
5+ years of experience in life sciences, biotechnology, pharmaceutical, healthcare, or related industries.
Minimum 3 years of experience focused on Clinical Data Management or Clinical Data Operations supporting interventional clinical trials.
Experience leading teams responsible for:
Clinical Study Startup Activities
Data Review & Cleaning
Query Management
Data Reconciliation
Operational Issue Resolution
Experience supporting multiple clinical studies and programs simultaneously.
Experience working within global clinical trial environments.
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