Life Sciences Supply Chain Planning Leader

1000 Accenture LLP Company

Chicago (IL)

On-site

USD 87,000 - 254,000

Full time

6 days ago
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Job summary

Accenture seeks a Life Sciences Supply Chain & Operations professional to lead end-to-end planning for biopharma and med tech clients, including IBP, demand planning, supply planning, production scheduling, and inventory management within GMP‑compliant, patient‑centric networks.

Travel up to 10–75% is required; you will design governance, engage stakeholders, optimize planning processes, and deploy AI‑enabled tools to improve forecasting, risk management, and operational performance across

Qualifications

  • Minimum of 5 years of experience in life sciences supply chain planning and integrated planning initiatives.
  • Experience leading IBP/S&OP cycles with cross-functional inputs across commercial, clinical, regulatory, and operations.
  • Proven ability to design governance frameworks and operating models for complex biopharma/med tech environments.

Responsibilities

  • Design IBP/S&OP frameworks tailored to life sciences, considering regulatory release cycles and CMO/CDMO networks.
  • Lead end-to-end IBP cycle including demand review, supply review, and executive S&OP.
  • Develop demand and supply planning processes accounting for LOE, batch yield variability, QA release buffers, and lead times.

Skills

IBP/S&OP
Demand planning
S&OE
Inventory optimization
Risk management
Analytics

Education

Bachelor’s degree or equivalent

Tools

SAP IBP
Kinaxis RapidResponse
Power BI

Job description

Accenture seeks a Life Sciences Supply Chain & Operations professional to lead end-to-end planning for biopharma and med tech clients, including IBP, demand planning, supply planning, production scheduling, and inventory management within GMP‑compliant, patient‑centric networks.

Travel up to 10–75% is required; you will design governance, engage stakeholders, optimize planning processes, and deploy AI‑enabled tools to improve forecasting, risk management, and operational performance across

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