AI and Data Engineering lead

VanderlandeVeghelHybridFull-time3 weeks ago

Vanderlande is seeking an AI and Data Engineering Lead to accelerate its transition to an AI-native engineering organization. The role involves developing and executing AI and data strategy for the Technology Business Unit, transforming the end-to-end engineering lifecycle, and building reusable AI-enabled engineering capabilities. Requires 12+ years in engineering/technology development, with at least 7+ years leading AI initiatives, and a strong understanding of generative AI, machine learning, and engineering environments.

What you'll do

Develop and execute the AI and data strategy for the Technology Business Unit.
Translate Technology priorities into a focused portfolio of AI and data initiatives.
Align the roadmap with domain product strategies, platform-based development and the Engineering-to-Order to Configure-to-Order transformation.
Own the Technology AI and data portfolio, roadmap and prioritization process.
Identify opportunities where AI and data can reduce engineering lead times, remove rework and improve development quality.
Ensure investments deliver measurable improvements in engineering throughput and time to market.
Redesign engineering workflows around AI-enabled capabilities rather than adding individual tools to existing processes.
Reduce handoffs, waiting time, repeated data entry and fragmented engineering information.
Establish reusable AI-enabled engineering patterns across equipment, software, systems, architecture and integration disciplines.
Connect requirements, engineering decisions, models, code, tests and lifecycle data to create faster feedback loops.
Lead the development and scaling of the Engineering Configurator and other priority engineering AI solutions.
Create engineering data products and knowledge structures that make technical information accessible, reusable and suitable for AI.
Integrate AI capabilities with relevant engineering environments, including BOM, CAD, PLM, ALM and software development platforms.
Establish multidisciplinary teams that combine engineering, AI, data, architecture, software, product and change expertise.
Build communities of practice across engineering disciplines and domains.
Partner with universities, research institutions, technology providers and selected customers to accelerate capability development.
Build specialist AI knowledge in deep technical functions
Build AI capability across Vanderlande’s engineering and technical population.
Introduce AI engineering tools alongside the standards, training and workflow changes required for effective use.
Measure adoption through changed ways of working and engineering outcomes, not only tool usage or training completion.
Ensure AI-enabled engineering solutions comply with enterprise AI standards and governance.
Embed security, intellectual property protection, data sovereignty, traceability and responsible AI practices.
Establish appropriate evaluation and validation methods for AI-generated engineering outputs.
Partner with ICT, Data, Security, Legal, Quality and the AEC to move solutions safely from experimentation to operational use.

What you need

Must-have

Generative AIMachine LearningIntelligent AgentsRetrieval-Augmented GenerationKnowledge SystemsAI-enabled Software EngineeringData ArchitectureData Products

Soft skills

EntrepreneurialExecution-orientedStrategic visionOrganizational changeLeadershipCommunicationCollaboration

AIData EngineeringLogistics AutomationEngineering TransformationHybridNetherlandsLeadFull-time

/What you'll do

/What you need

Must-have

Soft skills

What you'll do

What you need