Associate Director, Centralized Monitoring

Accountabilities:

• • Oversee a broad portfolio of Centralized Monitoring processes, ensuring assigned projects meet contractual commitments, timelines, quality standards, and operational expectations.
  • Provide tactical and strategic planning, operational oversight, and direct leadership for the Clinical Data Liaison function within Data Analytics.
  • Lead, coach, mentor, and develop direct reports while managing team resources, workload allocation, priorities, and performance.
  • Evaluate operational signals and risks at multiple levels, using data and analytics to identify potential issues and advocate for appropriate mitigation strategies.
  • Support departmental infrastructure and operational excellence across areas including support services, database administration, performance measurement, and application system development.
  • Partner with functional leaders and cross-departmental stakeholders to improve processes, strengthen quality, and address operational challenges.
  • Support the department leadership team with strategic and ad hoc initiatives designed to improve departmental effectiveness, quality, and cost efficiency.
  • Apply strong analytical and technical judgment when interpreting data, identifying trends, and translating insights into practical business and operational recommendations.
  • Represent the function in senior-level management discussions and cross-functional forums, communicating priorities, risks, performance, and opportunities clearly.
  • Contribute to business development activities, including participation in sponsor meetings and discussions with external stakeholders.
  • Operate effectively in a fast-paced environment requiring sustained concentration, attention to detail, multitasking, and frequent interaction with clients and colleagues.

  Requirements:

  • 10+ years of relevant professional experience, or an equivalent combination of education, training, and experience that provides the knowledge and capabilities required for the role.
  • At least 5 years of management or people-leadership experience, with a proven track record of building, motivating, coaching, and developing high-performing teams.
  • Deep functional expertise in clinical trials and the broader clinical research/data analytics environment.
  • Strong understanding of centralized monitoring processes, operational risk management, clinical data, and data-driven approaches to improving trial execution.
  • Excellent analytical skills, with the ability to interpret complex data, extract meaningful insights, and apply findings to real-world operational problems.
  • Strong technical capabilities with data handling, analysis, visualization, and related analytical tools.
  • Excellent judgment and decision-making skills, particularly when evaluating operational risks, competing priorities, and complex business situations.
  • Exceptional communication and presentation skills, with the confidence to represent the function with senior management, cross-functional stakeholders, clients, and external sponsors.
  • Strong coaching, mentoring, and teaching abilities, combined with a collaborative and inclusive leadership style.
  • Ability to work effectively under pressure while maintaining a high level of accuracy, attention to detail, and operational discipline.
  • Comfortable managing multiple priorities and stakeholders simultaneously in a global, fast-paced environment.
  • Willingness and ability to travel occasionally when business needs require.

  Benefits:

  • Fully remote work options across Brazil and other eligible locations.
  • Full-time employment with a standard Monday-to-Friday work schedule.
  • Opportunity to work on clinical research and data analytics programs with significant global impact.
  • Exposure to complex clinical trials and collaboration with pharmaceutical, biotechnology, and healthcare stakeholders.
  • Leadership and professional development opportunities within a global, science-focused environment.
  • Opportunities to collaborate with experienced professionals across data analytics, clinical operations, technology, and other functions.
  • Meaningful opportunities to influence operational quality, efficiency, risk management, and business outcomes.
  • An inclusive workplace committed to equal opportunity and accessibility.
  • Reasonable accommodations available throughout the recruitment and employment process.