TE Connectivity

Director AI Enablement

posted 2026-10-20 · Wayne, PA, US · full_time

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First seen on this board 2026-10-20, verified 2026-10-20

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About this role

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 The Director, AI Enablement is responsible for translating ICT's AI strategy and prioritized business opportunities into scalable, secure, production-ready AI capabilities. Reporting to the BU CIO, the role provides leadership across the ICT AI portfolio and connects business priorities with AI engineering, data, architecture, platforms and enterprise technology capabilities. The role serves as the technical orchestrator of the ICT AI transformation, ensuring ICT uses the right enterprise capabilities, avoids duplication, accelerates reuse and successfully industrializes AI solutions. Working closely with business and technology leaders, the role bridges business transformation priorities and technology execution. This is a globally remote role and welcome applications from the United States and across Europe Key Responsibilities AI Strategy & Portfolio Leadership Translate AI strategy and business priorities into a clear technology roadmap. Maintain alignment with Segment and Enterprise AI, data and technology strategies. Assess AI opportunities, technical feasibility, risks and delivery dependencies. Guide build, buy, reuse and partner decisions. Provide portfolio transparency including readiness, risks and industrialization status. Governance, Alignment & Orchestration Lead governance and alignment across ICT, Segment and Enterprise AI initiatives. Connect approved initiatives with the appropriate delivery teams and capabilities. Identify and resolve dependencies, risks and blockers across the AI portfolio. Promote reuse of existing Enterprise and cross-BU solutions. Prevent unnecessary duplication of AI platforms, tools and solutions. Architecture, Data & Technology Enablement Ensure AI solutions align with architecture, security and technology standards. Partner with Data & Analytics, Enterprise Architecture and Cybersecurity teams. Support integration across platforms including SAP, MES, Salesforce, SAP IBP and Databricks. Identify capability gaps and drive resolution with the appropriate stakeholders. AI Scaling & Value Realization Support the transition of AI solutions from experimentation into production and scale. Promote scalable, reusable and supportable AI solutions. Track progress against AI value targets and business outcomes. Provide input into investment, prioritization and Go/Kill/Scale decisions. Executive Leadership & Stakeholder Management Act as a trusted advisor to the CIO and ICT leadership team. Translate technical topics into clear business decisions and actions. Engage with senior stakeholders across business units, functions and delivery organizations. Represent ICT in Enterprise and Segment AI forums. What your background should look like: Bachelor's or Master's degree in Computer Science, Engineering, Information Technology or related discipline preferred. 10-15+ years of experience across technology, digital transformation, analytics, AI, architecture or enterprise transformation. Experience deploying global transformation initiatives within a global matrixed engineering-led, manufacturing or automotive organization. Strong understanding of AI technologies including GenAI, LLMs, RAG and agentic AI concepts. Experience connecting AI and data capabilities with enterprise systems such as ERP, MES, CRM and planning platforms. Strong understanding of enterprise architecture, integration, security and responsible AI. Experience translating business requirements into technology strategies and scalable solutions. Proven ability to lead complex initiatives across teams without direct authority. Strong executive communication and stakeholder management skills. High degree of autonomy, curiosity and comfort operating in a fast-changing environment. Competencies Building Effective Teams Managing and Measuring Work Motivating Others SET : Strategy, Execution, Talent (for managers) Values: Integrity, Accountability, Inclusion, Innovation, Teamwork

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