Director, Commercial Data Science and Advanced Analytics

At Genmab, we are dedicated to building extraordinary futures together by developing antibody products and groundbreaking KYSO antibody medicines that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees.

Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so.

Does this inspire you and feel like a fit? Then we would love to have you join us!

As Director of Commercial Data Science and Advanced Analytics, you will lead a high-impact team within a multidisciplinary organization spanning Commercial and Medical Affairs. You will play a critical role in shaping and advancing Data Science, Advanced Analytics and AI initiatives across the US Market. This role is accountable for defining the advanced analytics strategy, prioritizing high-value opportunities, and delivering scalable, data-driven solutions that drive business performance and improve patient outcomes.

You will foster a test-and-learn culture, elevate analytics maturity, and serve as a strategic thought leader, partnering with and influencing senior stakeholders to enable data-driven decision-making.

This position is based in our Princeton, NJ office.

This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager.

• Define and drive the advanced analytics strategy aligned to Commercial and Medical Affairs priorities across both Hematology and Solid Tumors.
• Identify, prioritize, and shape high-impact analytics use cases, building clear business cases for investment and innovation.
• Serve as a strategic advisor to senior stakeholders, influencing decisions through data-driven insights and recommendations.
• Champion a test-and-learn approach: lead the design and execution of experiments to validate solutions and enable scalable deployment.
• Establish and evolve best practices, frameworks, and governance for advanced analytics across the organization.
• Foster strong cross-functional partnerships to embed analytics into core business processes and decision-making.

• Lead, coach, and develop a small team of data scientists and external consultants, setting priorities and supporting career growth.
• Oversee the end-to-end delivery of analytics initiatives across Genmab's commercial portfolio, ensuring quality, scalability, and alignment with business goals.
• Lead a portfolio of in-market Data Science priorities including Marketing Mix, Omnichannel Analytics, and other advanced analytics use cases across commercial and medical affairs.
• Guide the application of advanced methodologies, including statistical modeling, machine learning, and large language models.
• Ensure insights translate into action by connecting analytical outputs to clear business implications and recommended actions.
• Own stakeholder communication with senior stakeholders across US Market, including synthesizing complex analyses into compelling narratives.
• Oversee external vendors and consultants, ensuring high-quality delivery and effective knowledge transfer.
• Partner closely with AI Labs, Data Product and teams across US Market to operationalize and scale data science and advanced analytics solutions.
• Champion the adoption of AI productivity tools by establishing best practices, and embedding these capabilities into day-to-day analytics workflows.

• MS or PhD in a quantitative discipline (e.g., Data Science, Statistics, Engineering, Economics).
• 12+ years of…