Manager Program Data Support

Amgen; India; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Amgen is seeking a Manager Data Management Support to lead a team of Data Management Associates and Senior Associates across clinical studies. You will hire, train, and mentor staff, ensuring high-quality startup activities and ongoing operations while addressing performance in a fair manner.

The role requires partnering with resourcing leads to allocate staff by skill and workload, monitor capacity, and drive improvements to throughput and quality across programs.

Qualifications

• Pharmaceutical data management and trial operations knowledge required.
• Experience leading and developing a team, managing priorities and performance.
• Proficiency with standard data management workflows, templates, and tools.

Responsibilities

• Recruit, onboard, and train new team members.
• Coaching, mentoring, and competency development for direct reports.
• Manage team risks including attrition, skill gaps, and performance challenges.
• Foster collaboration, accountability, and continuous improvement.
• Partner with resourcing leads for staffing across studies.
• Ensure quality and compliance with SOPs and audit readiness.

Skills

Pharma expertise

Management experience

Excel

Clinical data knowledge

Education

Doctorate degree

Master's degree

Bachelor's degree

Associate's degree

High school diploma

Tools

Excel

Clinical data platforms

Job description

Career Category

Clinical Development

Job Description

ABOUT AMGEN

Amgen harnesses the best of biology and technology to fight the world's toughest diseases, and make people's lives easier, fuller and longer. We discover, develop, manufacture and deliver innovative medicines to help millions of patients. Amgen helped establish the biotechnology industry more than 40 years ago and remains on the cutting-edge of innovation, using technology and human genetic data to push beyond what's known today.

ABOUT THE ROLE

Role Description:

The Manager Data Management Support is accountable for hiring, managing, mentoring, and developing a team of Data Management Associates and Senior Associates. This critical role will build role capability within the team so associates can execute clinical data management startup and conduct activities at high quality, and for addressing performance issues promptly and fairly.

This Manager will partner with Resource Points of Contact / resourcing leads to ensure team members are appropriately allocated across studies/programs based on skill and capacity.

Roles & Responsibilities

Team Management

• Recruit, onboard, and train new team members (in partnership with R&D Training / functional training).
• Provide regular coaching, mentoring, and competency development for direct reports.
• Proactively manage team risks including attrition, skill gaps, and performance challenges.
• Foster a culture of collaboration, accountability, clear communication, and continuous improvement.

Resource Allocation & Program Engagement

• Partner with resourcing leads to assign associates based on skills, experience, and workload.
• Monitor capacity and forecast demand; raise gaps early and propose rebalancing plans.
• Ensure associates are prepared for study assignments (access, training, expectations, handoffs).
• Track allocation health (over/under allocation) and adjust proactively.

Capability Development & Continuous Improvement

• Identify recurring gaps in skills, process adherence, or tooling and drive targeted training plans.
• Promote standard ways of working for associate execution (templates, checklists, playbooks).
• Capture lessons learned and share across the support pool to reduce rework and variability.
• Encourage practical improvements that increase throughput and quality, not extra documentation.

Stakeholder Collaboration

• Serve as point of contact for escalations related to associate performance, responsiveness, and quality.
• Build strong relationships with study and program stakeholders to align expectations and resolve friction quickly.
• Ensure consistent communication between delivery roles and the support pool on priorities and deadlines.

Quality & Compliance

• Ensure associates operate within SOPs, work instructions, and quality standards, and support audit/inspection readiness by ensuring evidence is complete, traceable, and stored appropriately.
• Partner with QA/Process leads to implement corrective actions when issues recur.
• Monitor basic quality indicators for support work (cycle time, error rates, rework, backlog).

Resource Management Support

• Support the functional resourcing team as needed (hiring coordination, allocation tracking, forecasting inputs) and provide reporting on team capacity, utilization, and skill coverage to enable portfolio planning.

Basic Qualifications and Experience

• Doctorate degree OR
• Master's degree and 2 years of clinical data management / clinical data operations experience OR
• Bachelor's degree and 4 years of clinical data management / clinical data operations experience OR
• Associate's degree and 8 years of clinical data management / clinical data operations experience OR
• High school diploma / GED and 10 years of clinical data management / clinical data operations experience

Preferred Experience

• 5+ years in life sciences, with at least 3 years focused on clinical data management / clinical data operations supporting interventional trials.
• Experience leading teams that execute high-volume clinical data management work (startup activities, data review/cleaning, reconciliation, issue management).
• Experience supporting multiple studies and/or programs in parallel with shifting priorities.

Functional Competencies

Must-Have Competencies

• Pharmaceutical Expertise: Understanding of clinical trial execution and how Data Management supports startup, conduct, and closeout. Prior experience in clinical data management, data operations, data capture, database build, and/or external data acquisition preferred.
• Management Experience: Experience managing and developing a team (preferably remote and/or across time zones), including coaching, performance management, balancing, and delivering through competing priorities.
• Tech Skills: Comfortable working in common clinical data platforms and workflows. Proficient in Excel; familiarity with basic data concepts (datasets, reconciliation logic, edit checks) and reporting/metrics expected.
• Operational execution and prioritization: Balances capacity, ti