AI & Data Engineering Lead — Hybrid, Global Impact

Vanderlande; Veghel; Hybrid; EUR 85,000 - 116,000; Full time

Benefits offered by this job

Hybrid workplace

Health & Wellbeing budget

Pension scheme

Lease car

Gym on-site

Job summary

Vanderlande in Veghel, Netherlands, seeks an entrepreneurial AI and Data Engineering lead to shape the AI-native transformation of our Technology Business Unit. You will define strategy, drive end-to-end engineering AI capabilities, and partner with engineering teams, product leaders and customers to shorten development cycles.

You will build reusable AI patterns, govern responsible AI practices and lead multidisciplinary fusion teams to deliver measurable improvements in throughput and time to

Qualifications

• 12+ years experience in engineering / technology development.
• 7+ years leading AI initiatives / developments.
• Proven experience transforming complex engineering environments.
• Demonstrated success applying AI, data and automation to improve throughput, quality or time to market.

Responsibilities

• Develop AI and data strategy for Technology.
• Own the Technology AI and data portfolio, roadmap and prioritization process.
• Lead the development and scaling of the Engineering Configurator and other priority AI solutions.
• Establish multidisciplinary fusion teams across engineering, data, architecture and product.
• Governance and responsible AI practices, including security, data sovereignty and traceability.

Skills

AI leadership

Data architecture

Engineering leadership

AI initiatives

Job description

Vanderlande in Veghel, Netherlands, seeks an entrepreneurial AI and Data Engineering lead to shape the AI-native transformation of our Technology Business Unit. You will define strategy, drive end-to-end engineering AI capabilities, and partner with engineering teams, product leaders and customers to shorten development cycles.

You will build reusable AI patterns, govern responsible AI practices and lead multidisciplinary fusion teams to deliver measurable improvements in throughput and time to