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KBI Biopharma

CDMO delivering cell line development

IBPE Senior Manager - Scenario Planning & Automation

Inventory Management +1Confirmed live in the last 24 hours
Full-timeDurham, NC, USANo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Supply Chain Management, Engineering, Computer Science, Information Systems, Business Analytics, Operations Management, or a related discipline is required.
  • At least 10 years of progressive experience in Supply Chain Planning, Inventory Management, Manufacturing Operations, Supply Chain Analytics, Procurement, Production Planning, or related functions is required.
  • Demonstrated expertise in supply chain management principles, including inventory optimization, procurement, manufacturing operations, material requirements planning, and capacity planning is required.
  • Experience leading complex cross-functional initiatives and driving measurable business outcomes is required.
  • Strong business acumen to connect operational decisions to financial results is required.
  • Analytical, problem-solving, communication, and influencing skills are required.
  • Ability to lead through influence and drive accountability across organizations without direct reporting relationships is required.
  • Advanced expertise in SAP ERP, including Production Planning, Materials Management, Inventory Management, material requirements planning, production orders, procurement processes, and master data governance is required.
  • Deep understanding of bills of material, routings, work centers, production versions, material master data, capacity planning, manufacturing execution processes, and supply chain planning logic is required.
  • Ability to challenge planning assumptions and validate SAP outputs through operational and technical expertise is required.
  • Advanced Python proficiency for scripting, ETL automation, data pipelines, data transformation, process automation, predictive analytics, supply chain modeling, and exception monitoring is required.
  • Advanced SQL proficiency for complex query development, data extraction, data transformation, data validation, reporting optimization, and large-scale data analysis is required.
  • Experience building scalable, production-ready analytical solutions is required.
  • Advanced experience developing material requirements planning simulations, inventory optimization models, capacity-constrained simulations, supply-demand balancing models, material availability models, inventory shelf-life forecasting models, supply chain risk models, and what-if scenario analysis tools is required.
  • Experience applying quantitative methods to support executive and operational decision-making is required.
  • Understanding of simulation techniques, sensitivity analysis, and supply chain optimization methodologies is required.
  • Experience with or working knowledge of AWS S3, AWS EC2, AWS Lambda, and AWS CloudWatch is required.
  • Understanding of data warehousing concepts, dimensional modeling, star schema design, data governance, and data quality management is required.
  • Practical experience applying software engineering best practices, including modular code development, Git/GitHub version control, CI/CD fundamentals, code testing and documentation, and production-ready solution development is required.
  • Advanced Power BI experience is required.
  • Experience developing executive dashboards and operational reporting solutions is required.
  • Ability to create KPI frameworks supporting proactive supply chain management and operational performance monitoring is required.

Responsibilities

  • Serve as the organization's central point of visibility for inventory, procurement, material availability, production readiness, and supply chain risk.
  • Establish proactive monitoring capabilities to identify operational risks, inventory exposures, system issues, and efficiency opportunities before they affect business performance.
  • Develop automated exception-management and risk-monitoring frameworks that provide real-time visibility into critical supply chain issues.
  • Translate complex supply chain data into actionable insights and lead corrective-action execution across the organization.
  • Own critical supply chain issues from identification through mitigation, resolution, validation, and closure.
  • Track operational and financial benefits realized through implemented improvements.
  • Drive initiatives to improve inventory efficiency, optimize working capital, and reduce excess, obsolete, and expiring inventory.
  • Develop visibility and control mechanisms for excess, obsolete, slow-moving, and expiring inventory; shelf-life extension opportunities; and material liability exposure.
  • Identify purchase orders requiring cancellation, rescheduling, delay, acceleration, or enhanced monitoring.
  • Lead implementation of inventory mitigation plans and procurement actions.
  • Partner with Procurement, Manufacturing, and Finance to optimize inventory investment while maintaining supply continuity.
  • Measure and report realized savings and inventory performance improvements resulting from implemented actions.
  • Serve as the business subject matter expert for SAP Production Planning, Materials Management, Inventory Management, and material requirements planning execution.
  • Evaluate planning inputs and outputs to ensure planning decisions are based on accurate and reliable data.
  • Analyze and resolve issues involving bills of material, routings, production versions, work centers, material master data, procurement master data, material requirements planning parameters, and lead-time assumptions.
  • Assess how SAP configurations and data structures affect inventory performance, procurement effectiveness, and manufacturing execution.
  • Drive system enhancements and process improvements that improve planning accuracy and operational efficiency.
  • Partner with IT and Digital teams to strengthen data integrity and planning system capabilities.
  • Lead development of advanced analytical and automation solutions for faster and more effective supply chain decision-making.
  • Design and implement automated data pipelines integrating ERP, planning, procurement, manufacturing, and operational data sources.
  • Eliminate manual reporting and repetitive analytical tasks through scalable automation solutions.
  • Use Python and SQL to develop automated reporting solutions, exception-monitoring systems, data-validation routines, inventory optimization models, supply chain performance dashboards, and predictive analytics tools.
  • Build and maintain executive dashboards supporting inventory management, procurement optimization, capacity planning, and supply chain risk management.
  • Collaborate with Digital, Data Engineering, and IT teams to establish sustainable analytical and reporting infrastructure.
  • Develop advanced simulation capabilities to support proactive supply chain decision-making.
  • Design and execute simulations evaluating demand variability, supplier delays, capacity constraints, material shortages, production bottlenecks, lead-time fluctuations, inventory policy changes, and shelf-life limitations.
  • Build material requirements planning simulation capabilities to improve planning accuracy and material availability assessments.
  • Develop capacity-constrained models to support manufacturing and production planning decisions.
  • Use scenario modeling, sensitivity analysis, and quantitative methods to evaluate operational and financial impacts.
  • Provide leadership with data-driven recommendations supported by advanced analytical and simulation models.
  • Develop methodologies that proactively identify supply chain risks and vulnerabilities.
  • Monitor material shortages, supplier performance issues, inventory liabilities, capacity limitations, and execution risks.
  • Lead cross-functional action plans to mitigate identified risks and drive timely resolution.
  • Establish accountability, milestones, and governance mechanisms for mitigation activities.
  • Track corrective-action effectiveness and validate expected outcomes.
  • Conduct post-resolution reviews to identify root causes and prevent recurrence.
  • Ensure high-priority supply chain risks are managed through closure and benefits are fully realized.
  • Partner with Supply Planning, Procurement, Manufacturing, Operations, Finance, Quality, Commercial Operations, and Digital organizations.
  • Influence organizational decisions through data-driven analysis and fact-based recommendations.
  • Lead cross-functional initiatives focused on operational efficiency, inventory optimization, and risk mitigation.
  • Present findings, business cases, risk assessments, and improvement opportunities to senior leadership.
  • Drive stakeholder alignment and execution of agreed-upon action plans.
  • Remove barriers to implementation of improvement initiatives and corrective actions.

Desired Qualifications

  • A Master's degree in Supply Chain Management, Engineering, Computer Science, Analytics, Operations Research, or Business Administration is preferred.
  • APICS/ASCM CPIM, CSCP, CLTD, or equivalent certification is preferred.
  • Lean Six Sigma Green Belt or Black Belt certification is preferred.
  • Experience in biotechnology, pharmaceuticals, cell and gene therapy, life sciences, diagnostics, or regulated manufacturing environments is preferred.
  • SAP S/4HANA experience is preferred.
  • Experience integrating ERP, manufacturing, planning, quality, and procurement data into enterprise analytical platforms is preferred.
  • Experience applying machine learning or artificial intelligence solutions within supply chain environments is preferred.

About the Company

KBI Biopharma

CDMO delivering cell line development

KBI Biopharma is a CDMO that accelerates the development of biological medicines by providing rapid cell line generation and process development for preclinical programs. It uses established mammalian and microbial expression systems (such as CHO K1, CHO S, CHO DG44, HEK293, and DXB11 E. coli) to create production cell lines and develop integrated manufacturing processes. Compared with competitors, it wins on speed, end-to-end capability, and flexibility across multiple platforms to move projects quickly from discovery to preclinical milestones for a diverse client base. Its goal is to reduce risk, shorten development timelines, and expand global access to life-saving biologic therapies.

Company size
1,001-5,000
Company stage
Late Stage VC
Total funding
$109.5M
Headquarters
Durham, NC
Founded
1996

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