Define and execute product roadmaps aligned with enterprise-level business objectives and quantitative success metrics
Develop and implement long-term strategic vision for AI and statistical modeling applications in clinical development
Provide expert guidance on statistical modeling, machine learning approaches, and agentic AI implementation
Collaborate with biostatistics teams to evaluate emerging technologies and methodologies for potential application in clinical design
Ensure proper validation and documentation of modeling approaches
Partner with executive leadership across Digital Data Science, Translational Medicine, Development teams, and Clinical Operations to drive product adoption
Present complex quantitative findings and product strategies to senior leadership
Negotiate resource allocation and strategic priorities with key stakeholders
Build strategic partnerships with external vendors and academic institutions
Requirements
10+ years in product management or complex digital solution development with knowledge in product or software-oriented roles building AI/data products with statistical components
Healthcare/biotech experience with clinical datasets highly preferred
Experience with regulatory submissions and compliance for AI/ML applications preferred
Expert knowledge of statistical modeling, machine learning algorithms, and AI applications in clinical development
Familiarity with PTRS modeling and simulation techniques for clinical trial optimization
Advanced understanding of biostatistical methods and their application in drug development
Excellent stakeholder management and executive communication: ability to elicit, analyze, and synthesize requirements from senior leadership, translate complex statistical concepts into business language and vice versa, manage conflicting priorities and negotiate strategic trade-offs
Superior business analysis and quantitative problem solving: ability to develop sophisticated statistical models, perform advanced data analysis, develop comprehensive business cases with complex ROI calculations, and drive data-based decision making at enterprise scale
Demonstrated ability to think and influence strategically: ability to connect products to organizational goals and quantifiable impact, drive change management and adoption of technical solutions, challenge assumptions with data-driven insights, and build trust with executive stakeholders
Bachelor's required, Master's or PhD degree highly preferred in a relevant field
Additional business or technical certifications (PMP, Agile, etc.) valued.