Global Director, AI for Operations
TE Connectivity
- Level
- Staff
- H-1B history
- 22 approvals (FY2023)
- Posted
- 6d ago
Skills
About this role
Job Description
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Job Title
Global Director, AI for Operations
Posting Start Date
6/9/26
At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world.
Job Overview
This role leads the strategy, deployment, and scaling of enterprise AI solutions across global manufacturing, supply chain, and operations functions. The position combines deep AI technical fluency with strong manufacturing and operations leadership to translate complex operational challenges into production-grade, scalable AI capabilities embedded in plant, quality, maintenance, planning, and enterprise workflows. The role ensures AI initiatives move beyond experimentation into governed, reliable solutions that improve productivity, quality, delivery, cost, safety, inventory, and decision-making. Job Requirements
AI Strategy & Operations Use Case Framing • Define and drive the global AI for Operations roadmap aligned with manufacturing strategy, productivity goals, digital maturity, and business priorities. • Identify, prioritize, and frame high-value AI use cases across manufacturing, supply chain, quality, maintenance, engineering, procurement, and operations planning. • Translate operational challenges into scalable AI solution designs using advanced analytics, machine learning, optimization, computer vision, automation, and generative AI where relevant. • Tie AI initiatives to measurable outcomes such as OEE, yield, scrap, labor productivity, schedule adherence, inventory, quality, safety, delivery, and cost reduction. • Continuously assess emerging AI technologies and determine their practical relevance for industrial operations. Manufacturing & Operations Transformation • Partner with global, regional, and plant operations leaders to embed AI into core operating processes, daily management systems, and frontline workflows. • Lead AI-enabled transformation across production, maintenance, quality, materials, planning, logistics, and continuous improvement. • Improve shop-floor and supply-chain decision-making through AI-driven insights, alerts, recommendations, and automation. • Integrate AI into lean operating systems, standard work, visual management, problem solving, kaizen, tiered management, and performance routines. • Convert isolated pilots into repeatable, scalable operating models across plants, regions, and business units. AI Solution Architecture & Deployment • Guide end-to-end AI solution architecture across data, models, infrastructure, applications, enterprise