Supply Chain AI Analyst

Timken • North Canton, OH

118d

About The Position

A career at Timken means you can have an immediate impact doing Work That Matters to the world— improving the efficiency of today's industrial equipment and preparing for the future of motion on our planet and beyond. New employees can start contributing right away, and there are many opportunities to advance your career at your own pace. Join our global team of 19,000 people in 45 countries, and start helping our customers push the limits of what's possible in their world of motion. The primary goal of this position is to leverage artificial intelligence, large language models (LLMs), advanced analytics, and cloud-based solutions to enhance supply chain decision-making, efficiency, and resilience. The ideal candidate will combine strong technical expertise in AI, programming, and data engineering with a strong background/knowledge of SAP and other ERP systems. This role will focus on designing and implementing AI-driven insights, integrating LLMs into business workflows, and enabling smarter, faster decision-making across the enterprise.

Requirements

• Minimum - Bachelor's Degree in Computer Science, Data Science, Engineering, Supply Chain, Mathematics, or related technical/business field with 2+ years of experience in AI, ML, LLM integration, or supply chain analytics.
• Strong proficiency in Python, Type Script, SQL, Spark and other related languages and platforms.
• Familiarity with AI Tools, MCP Servers, and LLM integration.
• Experience with Microsoft Azure Cloud services (Data Factory, Synapse, Machine Learning, Databricks, Azure OpenAI).
• Demonstrated ability to design, implement data pipelines, AI/ML workflows, and LLM-enhanced applications.
• Strong understanding of RAG for combining structured supply chain data with LLMs.
• Ability to translate complex AI/ML/LLM-driven findings into actionable business recommendations.
• Excellent problem-solving and analytical skills.
• Effective collaboration skills for working across technical and non-technical teams.

Nice To Haves

• Preferred - Master's Degree in Computer Science, Data Science, Supply Chain Analytics, or related technical/business field with 2+ years of experience applying AI, ML and LLMs in supply chain or enterprise-scale environments.
• Hands-on experience designing data structures and strategies to meet the needs of a large enterprise environment with a focus on AI/ML/LLM enablement.
• Understanding of how SAP Master Data, transactional data, and planning systems intersect with AI-driven supply chain applications.
• Familiarity with SAP data structures and tables (e.g., MSEG, MARA, MARC, BOM, LFA1, KNVV). S/4HANA experience a plus.
• Merging SAP and Non-SAP data structures into simplified datasets resulting in actionable insights across the organization.
• Ability to design AI/ML/LLM use cases that meet business requirements and provide tangible value to the organization.

Responsibilities

• Develop, deploy, and maintain AI/ML/LLM-based solutions and tools.
• Build and integrate AI agents/tools that enable business users to query and interact with supply chain data quickly and seamlessly.
• Collaborate with supply chain, IT, and business stakeholders to identify opportunities where AI/ML/LLMs can automate reporting, document analysis, root cause investigation, and knowledge retrieval.
• Write, test, and maintain scalable code in Python/TypeScript/SQL, and other relevant languages for AI/ML/LLM development and data processing.
• Design and maintain pipelines that connect structured and unstructured supply chain data with LLMs.
• Integrate solutions within Microsoft Azure and Databricks platforms.
• Perform large-scale data analysis, identifying patterns, anomalies, and actionable insights across supply chain operations.
• Develop and implement conversational interfaces that allow stakeholders to leverage LLMs for real-time decision support.
• Ensure AI/LLM models and solutions are production-ready, scalable, and aligned with governance, compliance, and security standards.
• Stay current on emerging AI/LLM technologies, supply chain best practices, and cloud-native solutions to continuously advance organizational capabilities.

What This Job Offers

• Industry: Fabricated Metal Product Manufacturing
• Education Level: Bachelor's degree