You will collaborate with Manufacturing Engineering, Operations, Quality, Supply Chain, IT, and plant leadership to:
AI Opportunity Development & Manufacturing Integration
• Identify challenges in manufacturing, quality, productivity, maintenance, supply chain, and operations addressable by AI and analytics.
• Serve as the technical liaison among Manufacturing Engineering, Operations, AI Project Champions, Digital Transformation, and IT/Data Science.
• Translate manufacturing and operational needs into AI business cases and technical requirements.
• Convert AI outputs into actionable manufacturing and operational processes.
• Prioritize AI opportunities by value, feasibility, scalability, complexity, and impact.
• Define success criteria, KPIs, benefits, and value plans for AI projects.
AI Solution Development & Deployment
• Support design, development, validation, and deployment of AI solutions in manufacturing.
• Collaborate with IT, developers, data engineers, and partners to build scalable AI aligned with business goals.
• Review AI models and architectures for manufacturing feasibility and sustainability.
• Ensure AI solutions are practical, scalable, maintainable, and deployable across facilities.
• Participate in testing, piloting, validation, and industrialization of AI applications.
• Support deployment of AI assistants, predictive tools, automation, and decision-support systems.
• Develop roadmaps to move AI initiatives from proof-of-concept to industrial production.
Digital Manufacturing & Data Analytics
• Analyze manufacturing processes, performance, quality, equipment use, capacity, and variation with advanced analytics.
• Work with sites to define data needs, collection, governance, and reporting.
• Support digital manufacturing solutions using AI, machine learning, BI, process mining, automation, and industrial data.
• Integrate AI solutions into operational workflows and management systems.
• Use data from MES, ERP, production, quality, maintenance, databases, and IoT platforms.
AI Governance & Operational Excellence
• Collaborate with AI Champions, Operations, and IT to establish AI governance, standards, security, and support.
• Define and track KPIs for AI adoption, effectiveness, engagement, impact, and sustainability.
• Develop methodologies, templates, frameworks, and best practices for AI projects.
• Capture lessons learned and improve AI deployment processes.
• Align solutions with TE Operating Advantage principles and continuous improvement.
• Support change management, user adoption, training, and readiness.
Project Leadership
• Lead multiple AI and Digital Manufacturing projects from concept to deployment.
• Coordinate cross-functional teams across Manufacturing Engineering, Operations, IT, Quality, Supply Chain, Finance, and technology providers.
• Manage scope, timelines, risks, budgets, and communications.
• Present status, business cases, metrics, and results to leadership.
• Provide technical coaching and mentorship on AI, analytics, automation, and digital manufacturing.
Your Immediate Customers
Your primary customers include manufacturing plants, operations leadership, engineering, quality, and AI Champions across ICT.
You will:
• Partner with site leadership to identify and prioritize high-value AI opportunities.
• Support sites during AI deployment and stabilization.
• Collaborate with plant teams to ensure solutions meet needs and deliver results.
• Drive standardization and scalability of AI implementations across facilities.
• Partner with Finance and Operations to validate project benefits and value realization.

SET : Strategy, Execution, Talent (for managers)