AI Data Architect (m/f/d)
TE Connectivity
About the role
Job Overview
The AI Data Architect (m/f/d) is a senior technology leader responsible for defining the data architecture, data structures, and information foundations required to enable AI at scale across the Automotive Business Unit. Reporting to the AI Product Owner and working closely with the AI Architect, Transformation Success Managers (TSMs), Regional IT Directors, ADITRAC, TEIS, OneData, and external partners, this role owns the data architecture framework that makes AI use cases feasible, scalable, and reliable across regions and functions.
This role ensures that AI initiatives are built on governed, accessible, and business‑aligned data foundations. The AI Data Architect (m/f/d) will accelerate AI value creation by improving data availability, defining reusable data models, and aligning data sources, structures, and governance with the needs of priority AI use cases. The position blends enterprise data architecture, AI enablement, information governance, and execution support in a complex global manufacturing environment.
Responsibilities
- Design scalable data architecture and enable AI solutions in large, matrixed, and regulated organizations.
- Translate fragmented or complex data landscapes into usable foundations for analytics, automation, and AI.
- Define data structures, taxonomies, and reusable models across domains.
- Align business data needs with enterprise platforms, governance, and integration patterns.
- Collaborate across data, architecture, engineering, security, and business teams.
- Improve access to trusted, governed, and scalable datasets for digital and AI use cases.
What Your Background Should Look Like
- 7+ years leading enterprise data architecture, analytics platforms, data engineering, or digital/data transformation in global, matrixed organizations.
- Proven experience in enterprise data architecture, information modeling, and governed data enablement.
- Experience enabling AI, analytics, or automation use cases through improved data availability and structure.
- Strong background in data platforms, integration, APIs, master/reference data, metadata, and data governance.
- Experience in regulated, industrial, automotive, manufacturing, or similarly complex businesses strongly preferred.
- Demonstrated success partnering across data, architecture, engineering, security, and business teams to enable scalable digital solutions.
Competencies
- Values: Integrity, Accountability, Inclusion, Innovation, Teamwork
About TE Connectivity
TE Connectivity plc (NYSE: TEL) is a global industrial technology leader creating a safer, sustainable, productive, and connected future. As a trusted innovation partner, our broad range of connectivity and sensor solutions enable the distribution of power, signal and data to advance next‑generation transportation, energy networks, automated factories, data centers enabling artificial intelligence, and more.
Our more than 90,000 employees, including 10,000 engineers, work alongside customers in approximately 130 countries. In a world that is racing ahead, TE ensures that EVERY CONNECTION COUNTS.
What TE Connectivity Offers
- Unlimited contract opportunity
- Pleasant working environment fostering teamwork
- Open and dynamic company culture
- Extensive training initiatives and growth opportunities
- Competitive salary package
- Comprehensive benefits including group insurance, hospitalization insurance, meal vouchers, etc.
- Convenient location at E40 and E403 motorway intersection
- Join a certified “TOP EMPLOYER” in a modern “FACTORY OF THE FUTURE”
Requirements
- proven experience designing scalable data architecture and enabling AI solutions in large, matrixed, and regulated organizations
- strong data architecture depth with practical delivery focus
- track record of translating fragmented or complex data landscapes into usable foundations for analytics, automation, and AI
- enterprise data architecture and information model design
- enabling AI and analytics solutions through data availability and quality
- defining data structures, taxonomies, and reusable models across domains
- aligning business data needs with enterprise platforms, governance, and integration patterns
- working across data, architecture, engineering, security, and business teams
- improving access to trusted, governed, and scalable datasets for digital and AI use cases
- operating across regions
- influencing senior stakeholders
- working at the intersection of business need, technology capability, and governed data enablement
- 7+ years leading enterprise data architecture, analytics platforms, data engineering, or digital/data transformation in global, matrixed organizations
- Proven experience in enterprise data architecture, information modeling, and governed data enablement
- Experience enabling AI, analytics, or automation use cases through improved data availability and structure
- Strong background in data platforms, integration, APIs, master/reference data, metadata, and data governance
- Demonstrated success partnering across data, architecture, engineering, security, and business teams to enable scalable digital solutions
Responsibilities
- defining the data architecture, data structures, and information foundations required to enable AI at scale across the Automotive Business Unit
- owns the data architecture framework that makes AI use cases feasible, scalable, and reliable across regions and functions
- ensures that AI initiatives are built on governed, accessible, and business-aligned data foundations
- accelerate AI value creation by improving data availability, defining reusable data models, and aligning data sources, structures, and governance with the needs of priority AI use cases
- blends enterprise data architecture, AI enablement, information governance, and execution support in a complex global manufacturing environment
Benefits
Skills
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