Senior Manager, Supply Chain Analytics & Data Intelligence

Job summary

The Senior Manager will lead the supply chain data transformation by bridging IT, data engineering, and operations to deliver actionable intelligence. They are responsible for developing strategic roadmaps, establishing data governance, and mentoring a team of analysts to optimize supply chain performance.

Job details

The Senior Manager will lead the supply chain data transformation by bridging IT, data engineering, and operations to deliver actionable intelligence. They are responsible for developing strategic roadmaps, establishing data governance, and mentoring a team of analysts to optimize supply chain performance. Candidates must possess a bachelor's degree in a quantitative field and at least 7 years of progressive experience in supply chain analytics or operations. Proficiency in BI tools, statistical programming, and enterprise systems is required, along with strong executive communication skills.

What you’ll do

The Senior Manager will lead the supply chain data transformation by bridging IT, data engineering, and operations to deliver actionable intelligence. They are responsible for developing strategic roadmaps, establishing data governance, and mentoring a team of analysts to optimize supply chain performance.

Requirements

Candidates must possess a bachelor's degree in a quantitative field and at least 7 years of progressive experience in supply chain analytics or operations. Proficiency in BI tools, statistical programming, and enterprise systems is required, along with strong executive communication skills.

Listed skills

• Microsoft Azure · Preferred
• Power BI · Preferred
• SAP · Preferred
• SQL · Preferred
• Tableau · Preferred
• Oracle · Preferred
• Python · Preferred

Other relevant skills

Identified from the job description. Confirm important requirements above.

• Supply chain analytics
• Data governance
• Business intelligence
• Predictive analytics
• Prescriptive analytics
• Data engineering
• Power BI
• Tableau
• Python
• R
• SQL
• SAP
• Oracle
• Kinaxis
• Azure
• Databricks

Job areas

• Data & Analytics
• Management & Leadership
• Logistics
• Technology
• Engineering

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