Associate Director - Logistics Decision Intelligence
AstraZeneca
Hybrid (minimum three days in-office per week)
Lead logistics decision intelligence strategy
Oversee ai/ml models for network optimization
Manage diverse global teams in matrix environment
AstraZeneca is seeking an Associate Director of Logistics Decision Intelligence to lead the strategic vision and execution of logistics analytics within a complex global network. The role emphasizes leveraging data insights to enhance service, efficiency, and sustainability in logistics operations while fostering a culture of innovation and collaboration
Job Summary
This role leads the intelligence behind how medicines move across a complex global network, redefining signals into actions that lift service, resilience, cost efficiency, and sustainability.
You will assemble and lead diverse global teams of analysts, data scientists, and domain experts while fostering a culture of innovation and continuous improvement.
The position requires championing the integration of digital tools like control towers and predictive analytics to enable data-driven decision making across global logistics operations.
Matching Summary
Match Score: 85
AstraZeneca is seeking an Associate Director of Logistics Decision Intelligence to lead the strategic vision and execution of logistics analytics within a complex global network. The role emphasizes leveraging data insights to enhance service, efficiency, and sustainability in logistics operations while fostering a culture of innovation and collaboration.
Skills & Requirements
Must-have
Lead logistics decision intelligence strategy
Oversee AI/ML models for network optimization
Manage diverse global teams in matrix environment
Establish data integrity and governance standards
Drive digital transformation with control towers
Nice-to-have
Experience applying Lean methods to logistics
Background in life sciences or regulated industries
Strong vendor partnership and collaboration skills
Hands-on familiarity with TMS and cold chain tools
Track record of building high-performing analytics teams
Key Requirements
Proven experience leading decision intelligence capabilities
Expertise in AI/ML and simulation tools for supply chain
Knowledge of GxP regulatory requirements in logistics
Ability to manage technical development of logistics applications