Director Commercial Data and Analytics

Category: Data & AI

Location:Ørestad, Capital Region of Denmark, DK

• Design and oversee scalable data platforms and data products, integrating diverse data sources (e.g., market data, customer insights, real-world evidence, patient) to enhance decision-making and optimize marketing ROI, field force effectiveness, and customer en-gagement.
• Leverage advanced analytics, AI, and machine learning technologies to deliver innovative solutions that drive commercial success and support targeted campaigns and customer relationship management (CRM).
• Ensure compliance with global regulatory standards and implement data governance frameworks to maintain data quality, security, and ethical use.
• Collaborate with cross-functional teams, including Sales, Marketing, IT, and Commercial Operations, to identify business opportunities and deliver actionable insights.
• Build and lead a high-performing, distributed team of data engineers, analysts, and prod-uct managers, fostering a culture of innovation, inclusivity, and professional growth.
• Partner with senior stakeholders and external technology providers to scale operations and integrate new tools, ensuring interoperability across systems and processes.
• Drive measurable impact by delivering projects on time and within budget, demonstrat-ing the value of data-driven initiatives in achieving business outcomes and customer en-gagement goals.

• A Master’s or Ph D in Data Science, Computer Science, AI, or a related field.
• 10+ years of experience in data and analytics leadership, with at least 7 years in life sci-ences or pharmaceuticals (Sales and Marketing or Patient services).
• Proven track record of driving commercial success using data and analytics in regulated industries.
• Expertise in advanced analytics technologies, CRM systems, and customer data man-agement.
• Strong leadership and communication skills, with experience leading cross-functional and distributed teams.
• Deep understanding of regulatory requirements (e.g., FDA, EMA, HIPAA).
• Experience in managing cloud-based data platforms, data lakes, and marketing analytics tools.
• Business acumen and the ability to translate data insights into measurable business im-pact.