Director, Statistical Modeling & Simulation Product Owner- Digital R&D

About the role

Join the digital engine driving Sanofis transformation - where AI, automation, and bold experimentation power faster science and smarter decisions. Here, you'll help build the first biopharma company powered by AI at scale.

Main Responsibilities

• Strategic Leadership- Develop and implement long-term strategic vision for AI and statistical modeling applications in clinical development
• Define and execute product roadmaps aligned with enterprise-level business objectives and quantitative success metrics
• Technical Direction- Collaborate with biostatistics teams to evaluate emerging technologies and methodologies for potential application in clinical design
• Provide expert guidance on statistical modeling, machine learning approaches, and agentic AI implementation
• Ensure proper validation and documentation of modeling approaches
• Stakeholder Management- Partner with executive leadership across Biostatistics, Digital, Translational Medicine, Development teams, and Clinical Operations to drive product adoption
• Build strategic partnerships with external vendors and academic institutions
• Negotiate resource allocation and strategic priorities with key stakeholders
• Present complex quantitative findings and product strategies to senior leadership

Requirements

• Experience- 10+ years in product management or complex digital solution development
• 5+ years in product or software-oriented roles building AI/data products with statistical components
• Direct experience working within or with biostatistics required
• Healthcare/biotech experience with clinical datasets required
• Experience with regulatory submissions and compliance for AI/ML applications preferred

Skills

• 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

Education

• Master's degree in Statistics, Biostatistics, Data Science, Computational Biology or related quantitative field - preferred. BS required.