Cell Therapy Capacity Planning Lead

AstraZeneca GmbH; Gaithersburg (MD); On-site; USD 124,000 - 186,000; Full time

Benefits offered by this job

401(k) plan

Health benefits

Paid vacation and holidays

Paid leaves

Job summary

AstraZeneca GmbH is seeking an Associate Director for Cell Therapy Network Capacity Planning in Gaithersburg, MD. The role leads 0–9 month execution capacity planning, translating network supply plans into executable site capacity plans and 90-day slots, coordinating with cross-functional teams to ensure timely patient treatment.

Responsibilities include managing the rolling 90-day S&OE schedule, driving cross-functional alignment, and advancing digital and AI-driven planning capabilities

Qualifications

• BS/BA with 8+ years (or MS/MA/MBA with 6+ years) relevant experience in pharma/biotech; Cell therapy experience preferred.
• Direct experience in supply planning, network planning, manufacturing planning, capacity planning, or S&OP / S&OE leadership.
• Experience in Cell Therapy, Gene Therapy, ATMPs, autologous or patient-specific supply chains strongly preferred.
• Experience with CGT orchestration tools, advanced planning tools, ERP systems (e.g., SAP), and planning analytics preferred.
• Experience supporting or leading cross‑functional planning in complex, high‑variability, high‑compliance operational environments.
• Experience supporting launch readiness, scale‑up, network expansion, or new product introduction is strongly preferred.

Responsibilities

• Operationalize slot allocation rules, governance, and recovery processes within the broader capacity planning model.
• Manage slot allocation and recovery in alignment with planning rules, patient readiness, and regulatory, logistics, and manufacturing constraints.
• Own the rolling 90-day S&OE slot schedule, keeping near‑term supply plans feasible, transparent, and responsive to demand or operational changes.
• Coordinate across Patient Operations, V2V Operations, Clinical Operations, Commercial, and manufacturing sites to maximize utilization and minimize missed slots, late changes, and disruption.
• Lead escalation and resolution of slot conflicts related to randomization, screen failures, site readiness, geography, or demand shifts.
• Analyze reservation conversion, booking behavior, utilization, late releases, recovery effectiveness, and missed‑slot root causes to improve service levels and capacity use.
• Introduce digital and AI solutions to automate and scale slot management.
• Lead Cell Therapy internal network capacity planning across the 0–9 month S&OE horizon, including RCCP and detailed 90-day scheduling.
• Translate approved supply plans and demand inputs into executable site-level capacity plans aligned to manufacturing capability, readiness, and constraints.
• Validate execution assumptions, readiness constraints, capacity adherence inputs, and schedule feasibility required to deliver the approved network plan.
• Support trade‑off analysis and recovery options within approved guardrails when demand, readiness, or capacity shifts affect execution.
• Partner with stakeholders to identify constraints early and recommend mitigations, including allocation changes, resource needs, ramp plans, and future‑state improvements.

Skills

Cross-functional collaboration

Capacity planning

Supply chain planning

S&OP / S&OE leadership

Cell Therapy domain knowledge

Education

BS/BA with 8+ years (or MS/MA/MBA with 6+ years) relevant experience in pharma/biotech; Cell therapy experience preferred.

Tools

ERP systems (e.g., SAP)

Planning analytics

CGT orchestration tools

AI/ML for planning

Job description

AstraZeneca GmbH is seeking an Associate Director for Cell Therapy Network Capacity Planning in Gaithersburg, MD. The role leads 0–9 month execution capacity planning, translating network supply plans into executable site capacity plans and 90-day slots, coordinating with cross-functional teams to ensure timely patient treatment.

Responsibilities include managing the rolling 90-day S&OE schedule, driving cross-functional alignment, and advancing digital and AI-driven planning capabilities