Associate Director Clinical Data Manager (all genders)

Overview

In this role you lead end-to-end data management for global Phase I–IV trials, focusing on complex oncology, neurology or immunology programs. You set strategy for data collection, cleaning, review, reconciliation and quality to ensure submission-ready data. You act as the primary CDM representative at study level, coordinating cross-functional teams in a matrix environment and driving process improvements. You explore risk-based approaches and automation to elevate data quality and study execution, while mentoring others and shaping the function’s standards.

Pay / Benefits

• inclusion and belonging culture
• personal development and career advancement
• flexible working culture
• global collaboration
• opportunity to work on diverse therapeutic areas
• on-site office in Feltham 3 days per week

Responsibilities

• Lead end-to-end data management for global trials or a study portfolio
• Define and oversee data collection, cleaning, review, reconciliation and quality activities
• Serve as primary CDM representative at the study/program level in a matrix organization
• Implement risk-based data management and data-flow strategies for in-house and outsourced studies
• Identify opportunities to apply automation, analytics and AI-enabled solutions
• Oversee CRO/vendor delivery and support Health Authority submission activities
• Contribute to process improvements, SOPs and best-practice workstreams
• Mentor colleagues and strengthen CDM capability across the organization

Key requirements

• 10+ years of clinical data management experience in pharma/biotech/healthcare
• Extensive leadership of complex oncology, neurology or immunology trials at study/program level
• Deep expertise in end-to-end data management, risk-based data collection and cleaning, eCRF design, external data management and coding
• Strong knowledge of CDISC, CDASH and SDTM standards
• Proven track record managing CRO/vendor relationships, including performance oversight and budget monitoring
• Experience in global, cross-functional team leadership and communicating with senior stakeholders
• Project management skills with ability to manage timelines, resources, risks and multiple priorities
• Commitment to continuous improvement and contribution to data management standards and SOPs
• Experience with Risk Based Data Monitoring and Management; automation/AI in CDM is advantageous

• collaboration
• leadership
• clear communication
• CDISC, CDASH, SDTM knowledge
• eCRF design
• external data management

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