Executive Director, Statistical Programming

* Excellent verbal and written communication skills; strong negotiation and interpersonal skills.
* Deep knowledge of the drug development process, regulatory expectations, and industry standards for programming, data structures, and reporting.
* Proven ability to supervise people leaders at multiple levels; ability to delegate, coach, and provide feedback and career development opportunities.
* Ability to provide Statistical Programmers with structured frameworks for decision making and guide consistent and high-quality execution.
* Excellent judgment and problem-solving skills in complex situations; ability to prioritize the most important aspects of an issue.
* Ability to lead strategic initiatives within Statistical Programming and implement infrastructure or process improvements that enhance efficiency and quality.
* Ability to integrate planning efforts with cross functional partners to ensure organizational effectiveness; ability to influence decision making.
* Ability to advise senior leadership on programming strategy, functional needs, and technology modernization.
* Bachelor’s degree or higher in Biostatistics, Computer Science, or related field with 16+ years of relevant industry experience in Statistical Programming supporting biopharmaceutical data.
* Extensive experience with SAS and industry standard programming tools; experience in modern analytics platforms, automation, or AI environments preferred.
* Demonstrated experience designing, implementing, and overseeing an offshore or hybrid resourcing model, including effective oversight of global external programming teams.
* Demonstrated leadership in managing large Statistical Programming groups and contributing to NDAs/MAAs or other regulatory filings.
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