Supply Chain Planning Life Sciences Consultant

Accenture•St. Louis, MO

2d•$54,400 - $205,800

About The Position

Accenture is seeking a consultant to drive project execution across Planning transformation work within its Supply Chain & Engineering practice for Life Sciences. The role supports pharmaceutical, biotech, medical technology, distributor, and consumer health clients globally as they combine technology and scientific advances to improve how treatments are discovered, developed, and delivered. The consultant is responsible for delivering large-scale Planning Transformation programs through end-to-end delivery ownership while helping build Accenture’s Planning capabilities. The position also supports generative AI and agent-based modeling for scalable Agentic planning operations, translating technical outputs into executive-ready insights and solutions. Travel is required and may range from 0% to 75%.

Requirements

At least 3 years of experience working on Supply Chain initiatives.
At least 3 years of experience working on Integrated Planning initiatives.
At least 2 years of experience in Biopharma, Medical Devices/Med Tech, CDMO/CMO, or adjacent Life Sciences sectors.
At least 1 year of external experience at a consulting firm, or 2 years of internal consulting experience in an industry role equivalent to Manager level.
Bachelor’s degree or equivalent, with a minimum of 12 years of work experience; alternatively, an associate degree with at least 6 years of work experience.
U.S. work authorization that does not now or in the future require visa sponsorship.

Nice To Haves

Developing expertise in one or more Life Sciences planning domains, such as Patient-Based Demand Forecasting, IBP/S&OP, S&OE, Inventory Optimization, CMO/CDMO Supply Planning, or Clinical Supply.
Demonstrated ability to work creatively and analytically in a problem-solving environment.
MBA or equivalent graduate degree.
Exposure to Life Sciences planning platforms such as OMP, Kinaxis RapidResponse, SAP IBP/S4, o9 Solutions, or Blue Yonder, or adjacent systems such as Veeva Vault, SAP ERP, or MES/MOM platforms.
Lean or Six Sigma qualifications.
Ability to use current data analytics tools to identify opportunities for improvement.
Experience generating insights with visualization tools such as Power BI, Tableau, or Alteryx, and analytics tools such as Adobe Analytics or Google Analytics.
Understanding of GxP and regulatory considerations in pharmaceutical manufacturing and how they shape data and AI solutions.

Responsibilities

Support delivery of business and technology transformations using Planning industry expertise and AI-enabled transformation approaches.
Understand Planning reinvention value levers across pharmaceuticals, biotech, MedTech, and other sectors, including effects across the full value chain.
Apply technical, industry, organizational, and functional knowledge to support selling opportunities to existing and new clients.
Participate hands-on in project delivery, execute program priorities, lead work products, and coach and mentor others.
Manage internal and external relationships through effective communication and deliver work with excellence.
Support practice and people development alongside day-to-day project delivery.
Support generative AI and agent-based modeling for scalable Agentic planning operations, translating technical outputs into executive-ready insights and scalable solutions.