Decision Support & Agentic Workflow Automation Leader

Texas Instruments • Dallas, TX

91d

About The Position

Change the world. Love your job. Role Overview Lead the vision and execution of AI-driven decision support and workflow automation across our global manufacturing network. This leader will build copilot-style solutions, agentic AI frameworks, and a robust data foundation that enables adaptive decision-making, knowledge capture, and workflow automation at scale.

Requirements

• Masters degree in Engineering, Computer Science, Data Science, or related field.
• 10+ years in semiconductor manufacturing, automation, or advanced analytics.
• Experience leading decision support, workflow automation, or data engineering initiatives in complex environments.
• Strong understanding of data modeling, pipelines, and integration across manufacturing systems.
• Proven track record of leading cross-functional teams and delivering enterprise-scale solutions.
• Hands-on experience with agentic AI frameworks (LLMs, LangChain, Copilot Studio, n8n, Zapier, etc.).
• Familiarity with knowledge graphs, contextual data modeling, and semantic search for decision automation.
• Strong ability to translate technical advancements into business outcomes (OEE, cycle time, cost savings).

Responsibilities

• Drive data engineering and data modeling efforts to unify manufacturing data domains (MES, AMHS, SPC/APC, FDC, scheduling) into a consistent knowledge base.
• Define and deliver a decision support & workflow automation framework that blends AI/ML, analytics, and human expertise.
• Build agentic AI systems to automate repetitive tasks, accelerate root-cause analysis, and improve decision quality.
• Establish standardized decision models and knowledge graphs for cross-factory use, ensuring scalability and reusability.
• Deliver early wins with rule-based workflows and dashboards, progressing toward adaptive AI/LLM-driven automation.
• Deliver measurable improvements in decision cycle time, labor efficiency, knowledge retention, and operational predictability.

What This Job Offers

• Job Type: Full-time
• Career Level: Manager
• Number of Employees: 5,001-10,000 employees