Life Sciences Supply Chain and Operations – Supply Chain Planning Consultant
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We are:
Accenture Supply Chain & Operations practice who specializes at the intersection of functional consulting, data, & technology. Our Life Sciences clients — spanning biopharma, med tech, and CDMO/CMO organizations — operate in one of the most complex, regulated, and high-stakes supply chain environments in the world. We come at their challenges from all sides with deep industry expertise, data-driven insights, and digital leadership. It’s our job to show clients how to take major leaps forward in planning, manufacturing, and supply chain operations — while meeting the demands of patient safety, regulatory compliance, and an evolving global supply network. How do we do it? We apply life sciences–specific planning frameworks, connect internal and external manufacturing networks, and build operating models that work for both biopharma and med tech environments.
You are:
A Life Sciences Supply Chain and Operations professional supporting biopharma and med tech clients in implementing end-to-end planning processes across their supply networks. You bring foundational understanding of the regulatory environment, product lifecycle complexity, and external manufacturing dynamics that define this industry. You will support the implementation of Integrated Business Planning (IBP), demand planning, supply planning, production scheduling, and inventory management capabilities — contributing to reliable product availability within the unique constraints of GMP-compliant, patient-centric supply chains.
The work:
- You understand one or more of the following life sciences planning processes: Patient-Based Demand Forecasting, IBP/S&OP, S&OE, Inventory Optimization, or CMO/CDMO Supply Planning
- Find solutions to clients’ life sciences supply chain and planning challenges — including demand volatility, CMO/CDMO constraints, regulatory holds, and launch planning complexity
- Spot and solve challenges using your analytical & strategy skills to dive into data and compare vs. industry peers
- Assist with workshops that look for ways to improve organizations and processes
- Determine what methods and procedures to use when completing projects
- Give clients insights that help make their companies work better, faster, and more efficiently
- Challenge legacy ways of working using constructive techniques that fuel client growth
- Use digital tech to help clients find new ways to make their orgs more effective and efficient
- Lead small to medium sized teams with diverse backgrounds skills and knowledge
- Support client sales origination and thought leadership development
- Use the latest analytical tools and digital tech to help clients find new ways to understand how to make their organizations more effective and efficient
Here’s what you need:
- Minimum of 1 years of experience working on Supply Chain initiatives
- Minimum of 1 years of experience working on Integrated Planning initiatives
- Minimum of 2 years of experience working in one or many of the following industries: Biopharma, Medical Devices / Med Tech, CDMO/CMO, or adjacent Life Sciences sectors
- Minimum of 1 years of external experience at a consulting firm or 2 years of internal consulting experience in a role equivalent to Manager level within industry
- A bachelor’s degree
Bonus points if:
- You have developing expertise in one or more of the following life sciences planning domains: Patient-Based Demand Forecasting, IBP/S&OP, S&OE, Inventory Optimization, CMO/CDMO Supply Planning, or Clinical Supply
- You have the proven ability to work creatively and analytically in a problem-solving environment
- You’ve earned an MBA or equivalent graduate degree
- You have 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
- You can use the latest data analytics tools to spot opportunities for improvement
- Prior experience in driving insights using visualization tools (i.e. Power BI, Tableau, Alteryx) and analytics tools (i.e. Adobe Analytics, Google Analytics)
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