AI Data Architect

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., We are seeking a Senior Data and AI leader (m/f/d) with proven experience designing scalable data architecture and enabling AI solutions in large, matrixed, and regulated organizations. The ideal candidate combines strong data architecture depth with practical delivery focus, and has a track record of translating fragmented or complex data landscapes into usable foundations for analytics, automation, and AI.

The ideal candidates will bring experience in:

• 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

Experience in Automotive, manufacturing, or similarly complex global environments is valued, but not necessary. Candidates should be comfortable operating across regions, influencing senior stakeholders, and working at the intersection of business need, technology capability, and governed data enablement. 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

We are pleased to offer you an exciting total package that can also be flexibly adapted to changing life situations - the well-being of our employees is our top priority!

• 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"

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. Learn more at www.te.com and on LinkedIn, Facebook, WeChat, Instagram and X (formerly Twitter)., Across our global sites and business units, we put together packages of benefits that are either supported by TE itself or provided by external service providers. In principle, the benefits offered can vary from site to site.