Vice President, Data & Artificial Intelligence

Vice President, Data & Artificial Intelligence

As Vice President of Data & Artificial Intelligence, you will lead the enterprise strategy for data, analytics, and AI across a global pharmaceutical organization. This role is responsible for transforming how data is leveraged to accelerate drug development, optimize manufacturing, enhance commercial performance, and enable data-driven decision-making at scale.

You will partner with executive leadership across R&D, Manufacturing, Quality, Supply Chain, and Commercial to build and operationalize advanced analytics and AI capabilities. The role combines strategic vision, technical leadership, and organizational influence to position data as a core competitive advantage.

Key Responsibilities:

• Define and execute the enterprise data and AI strategy aligned with business priorities across clinical development, regulatory, manufacturing, and commercial functions
• Build and lead high-performing teams across data engineering, data science, AI/ML, and analytics
• Establish scalable data platforms, governance frameworks, and architecture to support global operations and regulatory compliance (GxP, FDA, etc.)
• Drive AI/ML use cases across drug discovery, clinical trials optimization, predictive maintenance, supply chain forecasting, and personalized medicine
• Partner with IT and digital teams to modernize data infrastructure, including cloud adoption and real-time data capabilities
• Champion data literacy and a data-driven culture across the enterprise
• Evaluate and manage external partnerships, including technology vendors, consulting firms, and AI startups
• Ensure responsible AI practices, including model governance, transparency, and ethical use of data

Qualifications:

• 12+ years of experience in data, analytics, or AI leadership roles, with significant experience in the pharmaceutical, biotech, or life sciences industry
• Proven track record of building and scaling enterprise data and AI capabilities
• Deep understanding of pharma data domains including clinical, regulatory, manufacturing (MES), and commercial data
• Experience with modern data platforms (cloud, data lakes, real-time pipelines) and AI/ML frameworks
• Strong executive presence with the ability to influence C-level stakeholders
• Advanced degree in a quantitative or technical field (e.g., Computer Science, Engineering, Statistics, or related discipline preferred)

Impact:

This role is critical in shaping the future of the organization by unlocking the value of data to improve patient outcomes, accelerate innovation, and drive operational excellence across the pharmaceutical value chain.