Executive Director, Head of Clinical Data Management

Revolution Medicines•Redwood City, CA

2d•Hybrid

About The Position

The Executive Director, Head of Clinical Data Management provides strategic, operational, and people leadership for the clinical data management function across the Development portfolio. This role is accountable for establishing scalable data management strategies, ensuring inspection-ready execution, and delivering high-quality, reliable clinical trial data that support decision-making, regulatory submissions, and patient safety. As a key member of the Clinical Data Science, Analytics, and Systems (CDSAS) Leadership Team, the Executive Director will partner closely with Development, Clinical Development, Clinical Operations, Global Patient Safety, Regulatory Affairs, Medical Writing, and within Quantitative Science (Translational Medicine, Biostatistics, Statistical Programming) to ensure data strategies align with the needs of an evolving oncology pipeline. The role will be instrumental in driving innovation in clinical data acquisition, external data integration, risk-based data review, and operational efficiency. The successful candidate will bring deep expertise in oncology clinical development, including the management of complex datasets such as biomarkers, genomics, imaging, and pharmacokinetic/pharmacodynamic data. This leader will have a demonstrated track record of building and scaling Clinical Data Management capabilities within a fast-paced biotechnology environment and enabling rapid, data-driven decisions that advance transformative therapies for patients with cancer.

Requirements

Bachelor’s degree in life sciences, health sciences, computer science, biostatistics, or a related field; advanced degree preferred.
Typically 25+ years of experience in clinical data management within biotechnology, pharmaceutical, or CRO environments, including significant leadership experience.
Deep knowledge of end-to-end clinical data management processes, EDC systems, data standards, medical coding, and study closeout activities.
Demonstrated success leading global, cross-functional teams and managing external partners in a regulated environment.
Strong understanding of GCP, ICH, CDISC standards, and regulatory expectations for clinical data quality and submission readiness.
Experience supporting complex or global clinical programs, including multiple therapeutic areas and development stages.
Excellent communication, organizational, and executive stakeholder management skills.
Ability to translate strategy into execution while balancing quality, speed, cost, and risk.

Nice To Haves

Hands-on experience with risk-based data review, centralized monitoring support, and modern data review tools.
Familiarity with decentralized trial data flows, external data integrations, and data governance frameworks.
Experience preparing teams and systems for audits, inspections, and regulatory submissions.

Responsibilities

Establish and execute the Clinical Data Management strategy to support a growing oncology portfolio from first-in-human through registration-enabling studies.
Build and scale a high-performing Clinical Data Management organization capable of supporting increasing study complexity and portfolio expansion.
Serve as the enterprise leader for clinical data quality, data governance, and inspection readiness.
Partner with CDSAS Leadership Team to drive adoption of innovative technologies, automation, and modern data review methodologies to improve efficiency and accelerate decision-making.
Partner with Quantitative Science senior leaders to ensure data management strategies support program milestones and portfolio priorities.
Partner with Translational Medicine and Clinical Science teams to support integrated analyses and biomarker-driven development strategies.
Collaborating with CDM pillar heads, ensure data collection strategies align with evolving scientific, regulatory, and business needs. Including establishing standards, processes, and governance frameworks to ensure consistency, compliance, and operational excellence.
Recruit, mentor, and develop Clinical Data Management talent.
Foster a culture of accountability, collaboration, innovation, and continuous improvement.
Build organizational capabilities that support future growth while maintaining operational agility.
Manage budgets, resource planning, and prioritization to meet portfolio timelines and business objectives.