Director Data Analytics, Commercial

Category: Data & AI

Location:Ørestad, Capital Region of Denmark, DK

• Lead the design, build, and maintenance of data solutions that support the Commercial company’s goals, working closely with business partners and line of business.
• Collaborate and engineer data-driven approaches to optimize sales, marketing, and patient service processes.
• Partner with the IT team supporting the line of business to ensure data and analytics solutions are well integrated into the business architecture and portfolio.
• Ensure seamless integration of data from diverse sources, including market, customer, patient, and real-world evidence, while upholding data governance standards.
• Drive the development and adoption of advanced analytics and AI/ML technologies to enhance sales force effectiveness, marketing ROI, and personalized patient engagement.
• Oversee the creation and management of scalable data architecture and technology platforms, ensuring interoperability across commercial, corporate strategy, finance, and clinical development.
• Build and lead a high-performing, distributed team of data professionals, fostering a culture of innovation, professional growth, and inclusivity.
• Ensure compliance with global regulatory requirements, data privacy standards, and ethical practices in all data initiatives.
• Track and measure the impact of data and analytics efforts on business outcomes, team performance, and stakeholder satisfaction, ensuring continuous improvement.

• 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.