Senior Data & AI Lead - Supply Chain Analytics

Jobtailor; Louisville (CO); On-site; USD 120,000 - 190,000; Full time

Job summary

Jobtailor in Louisville/Colorado is seeking a senior analytics leader to develop and execute analytics strategies aligned with supply chain objectives, translating complex data into actionable insights and applying advanced ML to complex datasets.

You will drive AI governance, manage MRP and planning processes, mentor a team, and collaborate with IT, manufacturing, and procurement to deliver measurable business impact using cloud and MLOps platforms.

Qualifications

• Requires Bachelor's degree in related field or equivalent work experience.
• Master's degree with 6+ years preferred.
• Typically 8+ years of progressive experience in material planning, production planning, or supply chain analytics.
• Strong SAP MRP experience and Power BI data visualization.
• Proficiency in SQL, Python, and R.
• Experience with ML frameworks and big data technologies.
• Experience with SIOP processes.

Responsibilities

• Develop and execute analytics strategies aligned with business and supply chain objectives.
• Translate complex data into actionable insights for strategic business decisions.
• Apply advanced statistical and machine learning techniques to complex supply chain datasets.
• Develop and scale Generative AI and Agentic AI capabilities including copilot, RAG, and workflow automation solutions.
• Drive technical strategy, AI governance, and adoption of enterprise AI capabilities.
• Develop, manage, and maintain supply chain performance and financial metrics.
• Develop and maintain a Supply Chain Metrics platform for organizational leadership.
• Support the SIOP process by compiling, analyzing, and presenting supply chain data to cross-functional stakeholders.
• Monitor and report inventory levels, identifying trends, risks, and optimization opportunities.
• Use AI/BI tools to analyze MRP outputs and perform what-if simulations for material shortages or excesses.
• Configure, maintain, and optimize SAP MRP parameters.
• Own the accuracy, performance, and optimization of the Materials Requirements Planning system.
• Analyze large datasets to identify replenishment and production-scheduling bottlenecks.
• Ensure data accuracy across supply chain systems and reporting platforms.
• Manipulate large datasets, perform root cause analysis, and automate reporting using SQL, Python, R, Power BI, and other analytics platforms.
• Partner with supply chain, manufacturing, procurement, quality, and engineering teams to solve complex business problems.
• Serve as primary liaison between Procurement, Production, Business Development, and IT.
• Collaborate with engineering teams to operationalize solutions using cloud and MLOps platforms.
• Identify and lead automation, system integration, process optimization, and improvement initiatives.
• Mentor, coach, and manage analysts, data scientists, or planners.
• Provide thought leadership across analytics and AI initiatives.

Skills

Advanced Statistical Analysis

Machine Learning Applications

SAP MRP Expertise

Data Visualization with Power BI

Supply Chain Operations Management

Python

SQL

R

Big Data Technologies

MLOps Platforms

Generative AI Development

Workflow Automation Solutions

Leadership/Mentoring

Education

Bachelor's degree in Supply Chain Management, Business Analytics, Data Science, Operations, Engineering, Statistics, Computer Science, or related field

Master's degree with 6+ years of experience

APICS CPIM or CSCP certification

Tools

Power BI

Tableau

AWS

Azure

Google Cloud

Hadoop

Spark

Kafka

CI/CD Tools

Git

Job description

Jobtailor in Louisville/Colorado is seeking a senior analytics leader to develop and execute analytics strategies aligned with supply chain objectives, translating complex data into actionable insights and applying advanced ML to complex datasets.

You will drive AI governance, manage MRP and planning processes, mentor a team, and collaborate with IT, manufacturing, and procurement to deliver measurable business impact using cloud and MLOps platforms.