IBPE Sr. Manager - Scenario Planning & Automation

KBI Biopharma•Durham, NC

19d

About The Position

The Senior Manager, Integrated Business Planning & Execution (IBPE) serves as the organization’s Supply Chain Control Tower Leader. The role proactively identifies, quantifies, and resolves supply chain risks and inefficiencies across inventory, procurement, manufacturing, and planning execution. It connects supply chain operations, analytics, data engineering, automation, and business execution so decisions are supported by accurate data, advanced modeling, and actionable insights. The position drives measurable improvements in inventory performance, working capital utilization, material availability, production readiness, and operational efficiency. It is accountable for taking issues and opportunities from identification through cross-functional execution, corrective action, validation, and closure, and for tracking whether operational and financial benefits are realized. The Senior Manager leads supply chain monitoring and risk-management capabilities; inventory optimization and procurement mitigation; SAP PP, MM, inventory, and MRP planning improvements; automated analytics and data pipelines; and advanced simulation and decision-support models. The role partners across Supply Planning, Procurement, Manufacturing, Operations, Finance, Quality, Commercial Operations, Digital, Data Engineering, and IT, and presents data-driven recommendations and business cases to senior leadership.

Requirements

Bachelor’s degree in Supply Chain Management, Engineering, Computer Science, Information Systems, Business Analytics, Operations Management, or a related discipline.
At least 10 years of progressive experience in supply chain planning, inventory management, manufacturing operations, supply chain analytics, procurement, production planning, or related functions.
Demonstrated expertise in supply chain management principles, including inventory optimization, procurement, manufacturing operations, MRP, and capacity planning.
Proven experience leading complex cross-functional initiatives and achieving measurable business outcomes.
Strong business acumen and ability to connect operational decisions to financial results.
Exceptional analytical, problem-solving, communication, and influencing skills.
Ability to lead through influence and drive accountability across organizations without direct reporting relationships.
Advanced expertise in SAP ERP, including PP, MM, inventory management, MRP planning and execution, production orders, procurement processes, and master data governance.
Deep understanding of BOMs, routings, work centers, production versions, material master data, capacity planning, manufacturing execution, and supply chain planning logic.
Ability to challenge planning assumptions and validate SAP outputs using operational and technical expertise.
Advanced Python proficiency for scripting, ETL, automation, data pipelines, transformation, process automation, predictive analytics, supply chain modeling, and exception monitoring.
Advanced SQL proficiency for complex queries, data extraction and transformation, validation, reporting optimization, and large-scale data analysis.
Experience building scalable, production-ready analytical solutions.
Advanced experience developing MRP simulations, inventory optimization models, capacity-constrained simulations, supply-demand balancing models, material-availability models, shelf-life forecasting models, supply chain risk models, and what-if scenario tools.
Experience applying quantitative methods to operational and executive decision-making; strong understanding of simulation, sensitivity analysis, and supply chain optimization.
Advanced Power BI experience, including executive dashboards, operational reporting, and KPI frameworks for proactive supply chain management and performance monitoring.
Practical experience applying software engineering best practices, including modular code, Git/GitHub, CI/CD fundamentals, testing, documentation, and production-ready solution development.

Nice To Haves

Master’s degree in Supply Chain Management, Engineering, Computer Science, Analytics, Operations Research, or Business Administration.
APICS/ASCM CPIM, CSCP, CLTD, or equivalent certification.
Lean Six Sigma Green Belt or Black Belt certification.
Experience in biotechnology, pharmaceuticals, cell and gene therapy, life sciences, diagnostics, or regulated manufacturing.
SAP S/4HANA experience.
Experience integrating ERP, manufacturing, planning, quality, and procurement data into enterprise analytical platforms.
Experience applying machine learning or AI solutions in supply chain environments.
Experience with or working knowledge of AWS S3, AWS EC2, AWS Lambda, and AWS CloudWatch.
Understanding of data warehousing, dimensional modeling, star schema design, data governance, and data quality management.

Responsibilities

Serve as the central point of visibility for inventory, procurement, material availability, production readiness, and supply chain risk.
Establish proactive monitoring and automated exception-management frameworks to identify operational risks, inventory exposures, system issues, and efficiency opportunities.
Translate complex supply chain data into actionable insights and lead corrective actions through mitigation, resolution, validation, and closure.
Track operational and financial benefits associated with implemented improvements.
Drive inventory-efficiency and working-capital initiatives, including controls for excess, obsolete, slow-moving, and expiring inventory, shelf-life opportunities, and material-liability exposure.
Identify purchase orders requiring cancellation, rescheduling, delay, acceleration, or enhanced monitoring; lead inventory mitigation plans and procurement actions.
Partner with Procurement, Manufacturing, and Finance to optimize inventory investment while maintaining supply continuity, and measure resulting savings and performance improvements.
Serve as the business subject matter expert for SAP Production Planning, Materials Management, Inventory Management, and MRP execution.
Evaluate planning inputs and outputs and analyze or resolve issues involving BOMs, routings, production versions, work centers, master data, MRP parameters, and lead-time assumptions.
Assess the impact of SAP configurations and data structures on inventory, procurement, and manufacturing execution; drive system and process improvements with IT and Digital teams.
Lead development of analytical and automation solutions, including automated data pipelines integrating ERP, planning, procurement, manufacturing, and operational sources.
Use Python and SQL to develop automated reporting, exception monitoring, data validation, inventory optimization models, dashboards, and predictive analytics tools.
Build executive dashboards for inventory management, procurement optimization, capacity planning, and supply chain risk management, and collaborate on sustainable analytics infrastructure.
Develop and execute simulations for demand variability, supplier delays, capacity constraints, shortages, bottlenecks, lead-time changes, inventory policies, and shelf-life limitations.
Build MRP simulation and capacity-constrained modeling capabilities and use scenario modeling, sensitivity analysis, and quantitative methods to evaluate operational and financial impacts.
Provide leadership with recommendations supported by analytical and simulation models.
Develop methods to identify supply chain risks and monitor shortages, supplier performance, inventory liabilities, capacity limitations, and execution risks.
Lead cross-functional risk-mitigation plans, establish accountability, milestones, and governance, and validate corrective-action effectiveness.
Conduct post-resolution reviews to identify root causes and prevent recurrence; ensure high-priority risks reach closure and benefits are realized.
Partner with Supply Planning, Procurement, Manufacturing, Operations, Finance, Quality, Commercial Operations, and Digital organizations.
Lead cross-functional improvement initiatives, present findings and business cases to senior leadership, align stakeholders, drive agreed action plans, and remove implementation barriers.