Associate Director - Logistics Decision Intelligence

Job Title: Associate Director - Logistics Decision Intelligence

Career level: E

Introduction to role:

Are you ready to turn data and logistics insight into faster, safer delivery of medicines to patients worldwide? This role leads the intelligence behind how our products move across a complex global network, redefining signals into actions that lift service, resilience, cost efficiency, and sustainability. You will set the vision for decision intelligence in logistics and guide its execution, connecting strategy to analytics, systems, and day-to-day operations.

You will join a team that thrives on standardised, Lean ways of working to simplify what matters and unlock creativity. With frequent launches and evolving markets, you will design and scale digital tools, advanced analytics, and governance that help us stay ahead. Do you thrive in a matrix environment, leading teams with varied strengths to turn complex data into decisive action at pace?

Accountabilities:

Strategy Development: Define and deliver a Logistics Decision Intelligence strategy aligned to enterprise goals and the supply chain transformation roadmap, moving from early wins to sustained value creation across the network.

Logistics Intelligence Governance: Lead logistics technical governance, set global standards, and represent logistics in enterprise forums to ensure data, analytics, and digital solutions are consistent, secure, and scalable.

Collaboration: Co-create solutions with internal and external partners, from needs discovery through adoption, ensuring analytics-led initiatives deliver measurable business outcomes.

Team Leadership: Assemble and lead diverse global teams of analysts, data scientists, and domain experts; build a culture of innovation, continuous improvement, and disciplined delivery across a matrix organisation.

Data Integrity: Establish logistics data domains and integrity requirements that enable reliable visibility, analytics, and decision support across systems and partners.

Advanced Analytics: Direct the development and deployment of models, simulations, and AI/ML for network optimisation, risk assessment, and performance monitoring; translate findings into operational decisions.

Digital Transformation: Champion control towers, dashboards, and predictive tools to embed data-driven decision making across global logistics operations.

KPIs and Reporting: Define strategic critical metrics and business intelligence dashboards to track service, cost, sustainability, and resilience, creating a single source of truth for the organisation.

Continuous Improvement: Identify and scale opportunities to improve efficiency, quality, agility, and customer experience, demonstrating Lean methods to standardise and sustain gains.

Risk Management: Build scenario analyses and decision-support tools to anticipate disruptions, mitigate risk, and accelerate response.

Logistics Applications: Oversee the technical development and value realisation of logistics applications such as TMS, P44, Validate, and CCIS, ensuring they are robust, compliant, and integrated.

Ethical Conduct and Compliance: Lead by example on things we value, Code of Conduct, and policies; ensure timely training, transparent reporting, and a speak-up culture.

Manager Accountabilities: Drive performance management, talent development, recruitment, fiscal stewardship, and SHE responsibilities to build a high-performing, trusted team.

Quality and GxP Stewardship: For GxP areas, ensure understanding of legal and regulatory requirements and provision of appropriate resources to maintain and improve the Quality system.

Essential Skills/Experience:

• Strategy Development: Lead the design and execution of Logistics Decision Intelligence strategies aligned with AZ’s business objectives and supply chain transformation roadmap.
• Logistics Intelligence Governance: Lead Logistics technical governance and represent Logistics in associated technical governance forums; develop and promote global standards.
• Collaboration: Work with internal and external partners to identify business needs, co-create solutions, and encourage the use of insights-based logistics initiatives.
• Team Leadership: Assemble and lead diverse global teams of analysts, data scientists, and logistics domain experts across a matrix organisation; foster a culture of innovation and continuous improvement.
• Data Integrity: Establish logistics data domains and establish data integrity requirement to enable visibility, analytics, and decision support.
• Advanced Analytics: Oversee the development and deployment of advanced analytics models, simulation tools, AI/ML algorithms for logistics network optimization, risk assessment, and performance monitoring.
• Digital Transformation: Champion the integration of digital tools (control towers, dashboards, predictive analytics) to enable data-driven decision making across global logistics operations.
• KPIs and Reporting: Establish strategic KPIs and business intelligence dashboards to monitor service levels, cost, sustainability, and operational resilience.
• Continuous Improvement: Lead initiatives to identify and capitalize on opportunities to improve efficiency, cost, quality, agility, and customer experience.
• Risk Management: Develop scenario analyses and decision support tools to strengthen logistics risk identification, mitigation, and response.
• Logistics Applications: Handle the technical development and maintenance of logistics handled applications such as TMS, P44, Validated, CCIS (temperature management); harness value from these digital logistics applications.
• Conduct activities and interactions consistent with Things we value and in compliance with the Code of Conduct and supporting Policies and Standards relevant to your role. Complete all required training on the AZ Code of Conduct and supporting Policies and Standards on time. Report potential issues of non-compliance.
• Ensure and monitor compliance by team members and third parties by (a) positively reinforcing the Code of Conduct and all relevant AstraZeneca Policies and Standards, (b) ensuring completion of all required training, (c) fostering a culture of openness in which employees are comfortable raising questions or concerns, and (d) immediately addressing and reporting, as appropriate, instances of non-compliance.
• Manager Accountabilities at AstraZeneca include Ethical Conduct and Compliance, Team Management, Performance Management, Individual Development Planning, Talent Management, Recruitment, People information, SHE accountabilities, and Fiscal and Financial awareness.
• Leaders with accountability for GXP areas are expected to understand the legal and regulatory requirements of their roles in providing appropriate resources (which could be human, financial, material, facilities, and equipment) to maintain the Quality system and continually improve its effectiveness.

Desirable Skills/Experience:

• Track record applying Lean methods to standardise ways of working and sustain improvement across global logistics
• Experience leading decision intelligence or control tower capabilities in a complex, multi-tier network
• Hands-on familiarity with TMS, P44, Validate, CCIS, temperature-controlled logistics, and cold chain guidelines
• Expertise with AI/ML, simulation, and optimisation tools for supply chain and logistics use cases
• Proficiency with modern data and analytics platforms and visualisation tools to build scalable dashboards and critical metric frameworks
• Background in life sciences, healthcare, or other regulated industries with an understanding of GxP in logistics
• Strong collaborator management and vendor partnership skills across a matrix environment
• Validated ability to build, coach, and develop diverse, high-performing analytics and operations teams

When we put unexpected teams in the same room, we fuel bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace, and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual

flexibility. Join us in our unique and daring world.

Why AstraZeneca:

Here, your work fuels the last mile of science, ensuring breakthrough therapies reach people who need them without delay. You will partner with diverse experts who value curiosity and perseverance alongside ambition, building decision intelligence on modern digital platforms and applying Lean, standardised practices to move faster on what matters. With a pipeline of new products and a global network to match, you will shape how modern tools, data, and resilient ways of working come together to elevate performance and patient impact.

Call to Action:

Step forward to lead the intelligence behind how medicines move worldwide and shape what comes next!

Date Posted

07-Jan-2026

Closing Date

15-Jan-2026

AstraZeneca embraces diversity and equality of opportunity.  We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills.  We believe that the more inclusive we are, the better our work will be.  We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics.  We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorization and employment eligibility verification requirements.

AstraZeneca embraces diversity and equality of opportunity. We are committed to building an inclusive and diverse team representing all backgrounds, with as wide a range of perspectives as possible, and harnessing industry-leading skills. We believe that the more inclusive we are, the better our work will be. We welcome and consider applications to join our team from all qualified candidates, regardless of their characteristics. We comply with all applicable laws and regulations on non-discrimination in employment (and recruitment), as well as work authorisation and employment eligibility verification requirements.