Vp, Insights, Analytics & Digital Us Commercial Lead
argenx.nl
$280,000.00 - $385,000.00 usd; not specified; comp...
Hybrid
Data-driven decision-making
Digital capabilities
Advanced analytics capabilities
The VP of Insights, Analytics & Digital role at argenx focuses on leading the U.S. Insights and Analytics community to drive data-driven decision-making within the biotech firm. The position emphasizes the importance of digital capabilities and advanced analytics to enhance patient outcomes in autoimmune diseases
Job Summary
The U.S. Lead of Insights, Analytics and Digital will play a critical role in setting the vision and continuing to build the operating model, capabilities, structure, and talent base of the U.S. Insights, Analytics and Digital Community.
This role will drive data-driven decision-making to support brand strategy, launch excellence, and long-term planning across a portfolio of autoimmune disease assets.
The role will be a key partner to our Digital Technology /IT Team for developing our “digital first and AI enabled” technology capability and should have a strong perspective on how digital and technology can enable better decision making, customer engagement and embedding digital to transform the business.
Matching Summary
Match Score: 85
The VP of Insights, Analytics & Digital role at argenx focuses on leading the U.S. Insights and Analytics community to drive data-driven decision-making within the biotech firm. The position emphasizes the importance of digital capabilities and advanced analytics to enhance patient outcomes in autoimmune diseases.
Salary
$280,000.00 - $385,000.00 USD; Not specified; Comprehensive benefits package
Skills & Requirements
Must-have
data-driven decision-making
digital capabilities
advanced analytics capabilities
predictive analytics
commercial strategy
Nice-to-have
science-based start-up
innovate across all corners
inspire and grow our company
transformative business impact
Key Requirements
10+ years of experience
Bachelor's degree in quantitative or scientific field
Advanced degree (MBA, MS, PhD) strongly preferred
Deep expertise in rare diseases or specialty therapeutics
Proven leadership experience
Proficiency in analytics tools (e.g., Excel, Tableau, SQL, Python/R a plus)