Manager Program Data Support
Biopharma Careers
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Job summary
Amgen seeks an experienced Manager Data Management Support to lead a team responsible for startup activities and ongoing clinical data operations. The role emphasizes high-quality delivery, staff development, and proactive risk management across studies and programs.
Responsibilities include mentoring, resource planning, and ensuring adherence to SOPs/WIs while maintaining strong stakeholder relationships and timely escalation when issues arise.
Qualifications
- Doctorate or Master’s with 2+ years in clinical data management / data operations.
- Bachelor’s with 4+ years in clinical data management / data operations.
- Associate’s with 8+ years in clinical data management / data operations.
Responsibilities
- Recruit, onboard, and train new team members in partnership with R&D Training.
- Provide regular coaching, mentoring, and competency development for direct reports.
- Proactively manage team risks including attrition, skill gaps, and performance challenges.
- Foster collaboration, accountability, clear communication, and continuous improvement.
- Partner with resourcing leads to assign associates based on skills and workload.
- Monitor capacity and forecast demand; raise gaps early and propose rebalancing plans.
Skills
Education
Tools
Job description
Clinical
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.
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.
- 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.
- 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.
- 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.
- 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.
- 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).
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.
- 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
- 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.
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, timelines, and shifting priorities across studies without dropping critical work.
- Quality mindset and inspection readiness: Drives right-first-time execution, documentation discipline, traceability, and consistent adherence to SOPs/WIs.
- Process discipline: Establishes standard ways of working (templates, checklists, playbooks) and reduces variability across the support pool.
- Stakeholder management: Communicates clearly with data delivery leads, program stakeholders, and resourcing partners; resolves conflicts quickly.
- Data fluency: Understands core data management concepts (edit checks, discrepancies, reconciliation, external data flows) well enough to challenge and support the team.
- Structured problem solving: Identifies recurring issues (backlogs, rework drivers, error patterns) and implements practical fixes.
- Global collaboration: Sets expectations for responsiveness, handoffs, and asynchronous work across time zones.
Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status.
We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.
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