Current opportunity
Director AI Enablement
Te Connectivity Ltd
About the opportunity
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.
