Life Sciences Supply Chain and Operations – Supply Chain Planning Manager

About the role

The Supply Chain & Operations practice at Accenture specializes at the intersection of functional consulting, data, and 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.

Responsibilities

• Design and implement IBP/S&OP frameworks tailored to life sciences environments, accounting for regulatory release cycles, CMO/CDMO network complexity, and the distinct planning dynamics of biopharma and med tech product portfolios.
• Lead the full IBP cycle, including demand review, supply review, portfolio review, and executive S&OP, integrating commercial, clinical, regulatory, and operations inputs to drive aligned decision-making.
• Develop demand and supply planning processes that account for life sciences-specific drivers including patient-based forecasting, launch ramp modeling, loss of exclusivity (LOE), batch yield variability, QA release buffers, and CMO/CDMO lead time dynamics.
• Translate IBP decisions into short-horizon execution plans, ensuring production schedules, batch campaign sequencing, CMO order management, and serialization-compliant logistics are aligned with near-term patient and customer demand.
• Develop multi-echelon inventory strategies that account for shelf life, retest dating, temperature-controlled storage, and regulatory hold periods, balancing service levels against working capital and write-off risk.
• Identify opportunities to improve forecasting accuracy, reduce supply risk, and accelerate planning cycles. Implement AI-enabled planning tools, digital twins, and advanced analytics to modernize life sciences supply chain operations.
• Define and track life sciences-relevant KPIs including OTIF, forecast accuracy, batch cycle time, CMO on-time delivery, inventory days-on-hand, and write-off rate. Develop action plans to address gaps and drive continuous improvement.
• Design governance frameworks and planning operating models that integrate commercial, medical affairs, regulatory, quality, and operations functions, enabling coordinated decision-making across complex biopharma and med tech organizations.
• Build and sustain relationships across client organizations, engaging executive leadership, commercial teams, supply chain functions, quality, and regulatory affairs, to align on planning priorities and communicate performance outcomes.
• Proactively identify supply chain risks specific to life sciences environments, including CMO/CDMO capacity constraints, API supply disruption, regulatory holds, and cold chain failures, and develop mitigation strategies to protect patient supply continuity.
• Provide data-driven insights into planning performance through advanced reporting and visualization, enabling senior leadership to make informed decisions on supply strategy, capacity investment, and network configuration.

Requirements

• Minimum of 5 years of experience working on Supply Chain initiatives
• Minimum of 5 years of experience working on Integrated Planning initiatives
• Minimum of 5 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 5 years of external experience at a consulting firm or 8 years of internal consulting experience in a role equivalent to Manager level within industry

Qualifications

• A bachelor’s degree
• Deep specialization 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-to-Commercial Supply Transition
• Proven ability to work creatively and analytically in a problem-solving environment
• Exceptional relationship-building and program management skills
• Earned an MBA or equivalent graduate degree
• Hands-on experience with life sciences planning platforms such as OMP, Kinaxis RapidResponse, SAP IBP/S4, o9 Solutions, or Blue Yonder, and familiarity with adjacent systems such as Veeva Vault, SAP ERP, or MES/MOM platforms
• Leverage Lean or Six Sigma qualifications
• Experience using 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)

Skills

• Strong analytical and strategic skills
• Excellent communication and stakeholder engagement abilities
• Ability to lead and manage cross-functional teams
• Proficiency in Microsoft Office Suite

Benefits

Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 07/31/2026.

Pay

Annual Salary Range: $94,400 to $293,800

Schedule

Full-Time

Requesting an Accommodation

If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, pregnancy, or any other characteristic protected by law.