Senior Supply Chain Manager

Role Overview

• Develop and maintain capacity planning models across suppliers, manufacturing, logistics, and infrastructure constraints
• Perform scenario planning and what if analysis to support investment decisions, demand volatility, and risk mitigation
• Analyze supply demand imbalances, lead times, throughput, and bottlenecks to inform short
• and long-term plans
• Support executive level reporting with clear KPIs, trends, and recommendations
• Design, write, and optimize SQL queries to extract, transform, and analyze large, complex datasets
• Build Python based analytical models (forecasting, optimization, simulations) using libraries such as GCP, Copilot studio
• Create repeatable, scalable data pipelines and analytics workflows
• Partner with BI teams to feed dashboards and decision tools (e.g., Power BI, Tableau, Agentic AI)
• Design and implement AI agents to automate recurring analytics tasks (e.g., demand analysis, exception detection, scenario generation)
• Apply machine learning or rule based agents to improve forecasting accuracy, capacity utilization, and planning cycle time
• Integrate AI-driven insights into planning processes and operational workflows
• Continuously identify opportunities where AI and automation can replace manual analysis or judgment calls
• Work closely with supply chain leaders, planners, and category managers to translate business questions into analytical solutions
• Communicate complex findings clearly to both technical and nontechnical stakeholders
• Influence planning and investment decisions through data driven storytelling

Requirements

• Bachelor's degree in supply chain, Engineering, Operations Research, Data Science, Economics, or related field
• 5+ years of experience in supply chain analytics, capacity planning, or network planning
• Expertise in transforming unstructured data into standardized, scalable data structures for analysis and reporting
• Strong, hands-on experience with SQL (advanced queries, joins, performance tuning)
• Strong Python skills for data analysis and modeling or strong Power BI skills (datasets management, reporting creation and deployment mechanisms)
• Proven experience building analytical models for capacity, demand, inventory, or lead-time planning

Tech Stack

• Google Cloud Platform
• Python
• SQL
• Tableau

Benefits

• Employee Assistance Program
• Health insurance
• Retirement plans
• Paid Time Off (PTO) and Paid Holidays