Dave Malenfant

In today’s rapidly evolving healthcare landscape, a robust and agile supply chain is essential for delivering quality care and managing costs. However, building a skilled workforce that can navigate the complexities of pharma supply chains is critical to success. This interactive workshop, led by supply chain talent expert Dave Malenfant, will delve into strategies for cultivating, attracting, and retaining top talent in healthcare supply chain management. Participants will explore current trends and challenges impacting talent development, from technological advancements to evolving skill requirements. Through case studies and best practices, attendees will learn how to foster continuous learning and leadership development, create career pathways, and utilize innovative approaches like mentorship programs and cross-functional training.

SWOT Exercise

Participants will engage in developing a SWOT (Strengths, Weaknesses, Opportunities, and Threats) analysis for emerging talent and, in some cases, themselves. This exercise will provide the foundation to develop a career path that ensures the creative development of leadership skills and qualities necessary to implement innovative solutions, ensuring the best possible talent in all supply chain positions.

• Identify key competencies needed for healthcare supply chain professionals
• Learn strategies for attracting and retaining top talent
• Discover practical tools for career development and leadership growth

This panel will delve into the transformative role of digitization in the pharmaceutical supply chain. We will explore how the convergence of data, advanced analytics, and artificial intelligence is driving innovation, improving efficiency, and enhancing patient care. 

• The importance of data standardization and interoperability in building a solid digital foundation for the pharma supply chain 
• Real-world examples of using predictive analytics to optimize inventory management, demand forecasting, and supply allocation 
• Exploring the potential of AI and machine learning to automate routine tasks, improve decision-making, and enhance supply chain resilience