Lead company-wise data management strategy and operating model, positioning data as a strategic asset and enabling high-quality, trusted, and usable data across the end-to-end data continuum.
Build data management capability, including governance, data quality, metadata/lineage, stewardship, and standards adoption.
Partner with internal and external collaborators (business, IT, analytics/product teams, clinical operations/strategy, and vendors) to align priorities and deliver interoperable data solutions.
Translate strategy into actionable roadmaps with milestones, KPIs, and clear ownership; monitor performance and service levels to ensure timely, high-quality delivery.
Lead, mentor, develop high-performing teams and build strong relationships with business partner/vendors; conduct vendor qualifications and manage partner performance to meet quality and timeline expectations.
Oversee standards governance and lifecycle management, including evaluation of enhancements, managing deviations, and driving continuous improvement through automation and process optimization.
Ensure compliance with applicable regulatory expectations and internal SOPs; support inspection readiness and respond to regulator questions related to data and standards.
Represent the organization in relevant industry standards forums and professional groups; communicate evolving guidance, standards, and best practices to internal stakeholders.

Requirements

Bachelor’s degree (or equivalent) in a scientific or healthcare-related discipline.
15+ years of clinical data management experience in pharma/biotech, including 5+ years in people leadership/management.
Demonstrated ability to lead, coach, and develop teams.
Strong analytical and problem-solving skills, with a proactive approach to identifying and resolving issues.
Experience overseeing multiple vendors (e.g., CROs, ePRO, and EDC providers).
Deep knowledge of data management processes and systems, including CDISC standards.
Solid understanding of ICH, GCP, and global regulatory expectations related to data.
Excellent organization, time management, and communication capabilities.
Highly motivated and delivery-focused, with the ability to manage multiple priorities and projects.
Strong collaboration, interpersonal, conflict-resolution, and problem-solving skills; late-phase trial and submission experience is preferred.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

data managementdata governancedata qualitymetadata managementdata stewardshipprocess optimizationautomationclinical data managementCDISC standardsregulatory compliance

Soft Skills

leadershipmentoringanalytical skillsproblem-solvingorganizationtime managementcommunicationcollaborationinterpersonal skillsconflict resolution