Sustainability AI Leader: Automate & Elevate Reporting

N8N Gmbh

País Vasco

Hybrid

EUR 72,000 - 108,000

Full time

3 days ago
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Benefits offered by this job

Smartworking
Flexible working
Meal vouchers

Job summary

N8N Gmbh is seeking a Sustainability AI Leader to drive end-to-end digitalization of sustainability processes across Electrification. You will define the technology roadmap, orchestrate AI initiatives, and partner with global teams to deploy the LTS and improve decision-making with AI-powered analytics.

The role targets a 30% productivity uplift by removing non-value-added tasks from reporting, while ensuring regulatory compliance and scalable data architectures.

Qualifications

  • Advanced degree in AI/ML or related quantitative field.
  • Proven experience in digital transformation and AI deployment at enterprise scale.
  • Ability to translate sustainability requirements into digital and AI solution specs.

Responsibilities

  • Lead the end-to-end digitalization of sustainability processes and roadmap.
  • Deploy the LTS for digitalization and AI with milestones and KPIs.
  • Coordinate with HQ and DT teams for alignment on strategy and standards.
  • Develop AI-powered systems, predictive analytics, and automated reporting.
  • Drive 30% productivity improvement by automating reporting tasks.
  • Design scalable data architectures and AI/ML models for sustainability analytics.
  • Build cross-functional partnerships to integrate digital solutions into systems.
  • Establish governance, quality standards, and compliance for AI tools.

Skills

AI/ML knowledge
Data Science
Digital leadership
Sustainability

Education

Advanced degree (MS/PhD) in AI/ML/Data Science/CS/Sustainability/Engineering

Job description

N8N Gmbh is seeking a Sustainability AI Leader to drive end-to-end digitalization of sustainability processes across Electrification. You will define the technology roadmap, orchestrate AI initiatives, and partner with global teams to deploy the LTS and improve decision-making with AI-powered analytics.

The role targets a 30% productivity uplift by removing non-value-added tasks from reporting, while ensuring regulatory compliance and scalable data architectures.

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