Job Overview
TE Connectivity's Industrial & Commercial Transportation business is accelerating the adoption of artificial intelligence (AI), digital manufacturing and advanced analytics to improve operational performance across global manufacturing sites.
As a Manufacturing and Process Development Engineer II focused on AI and Digital Manufacturing Solutions, you will bridge manufacturing operations, process engineering, data science, AI development teams and business stakeholders. You will identify manufacturing challenges, translate them into AI-enabled opportunities, and support the deployment, industrialization and continuous improvement of AI solutions.
You will work closely with Manufacturing Engineering, Operations, Quality, Supply Chain, IT, Data Analytics and AI Project Champions to ensure AI solutions deliver measurable business value, scale across multiple sites and become sustainable parts of daily operations.
Key Responsibilities
AI Opportunity Development & Manufacturing Integration
- Identify challenges in manufacturing, quality, productivity, maintenance, supply chain and operations that AI and analytics can address.
- Translate operational needs into AI business cases and technical requirements, and prioritize opportunities by value, feasibility 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, including AI assistants, predictive tools and decision-support systems.
- Develop roadmaps to move AI initiatives from proof-of-concept to industrial production.
- Ensure solutions are practical, scalable, maintainable and deployable across facilities.
Digital Manufacturing & Data Analytics
- Analyze processes, performance, quality, equipment use, capacity and variation with advanced analytics.
- Use data from MES, ERP, production, quality, maintenance, databases and IoT platforms.
- Define data needs, collection, governance and reporting with sites.
AI Governance & Operational Excellence
- Establish AI governance, standards, security and support with AI Champions, Operations and IT.
- Develop methodologies, templates, frameworks and best practices, and capture lessons learned.
- Support change management, user adoption and training.
Project Leadership
- Lead multiple AI and digital manufacturing projects from concept to deployment.
- Coordinate cross-functional teams, manage scope, timelines, risks and budgets, and present results to leadership.
- Provide technical coaching and mentorship on AI, analytics, automation and digital manufacturing.
Your Profile
- 2-5 years of experience in manufacturing, operations, process development, industrial engineering, automation, digital transformation, analytics or related technical disciplines.
- Experience working in manufacturing environments and understanding manufacturing processes.
- Strong understanding of manufacturing processes and industrial operations.
- Knowledge of AI, machine learning, generative AI, advanced analytics or intelligent automation concepts.
- Familiarity with MES, ERP, manufacturing data systems, industrial databases and operational reporting environments.
- Practical knowledge of Lean Manufacturing, TEOA, Six Sigma, Value Stream Mapping and continuous improvement methodologies.
- Strong analytical, problem-solving, project management, communication and stakeholder management skills.
Highly desirable: experience with data analytics, digital manufacturing, automation, AI, machine learning, business intelligence or process improvement, and tools such as Microsoft Copilot, Power Platform, Power BI, SQL, Python, Azure AI or Microsoft Fabric.
Travel and Location
Location: Remote. Travel up to 25-30%, including international manufacturing locations.
What TE Connectivity Offers
- Competitive salary package
- Performance-based bonus plans
- Health and wellness incentives
- Employee stock purchase program
- Community outreach programs and charity events
- Employee resource groups
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