Head of Data & AI, EMEA & APAC — Hybrid

Electrolux Group

Stockholms kommun

Hybrid

SEK 1,500,000 - 2,100,000

Full time

40 hours ago
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Job summary

Electrolux Group is seeking a Head of Data & AI to lead strategic data initiatives across EMEA & APAC from our Stockholm HQ. You will own data platforms, governance, and AI-powered product capabilities, partnering with senior leaders to drive data-driven growth and transformation.

The role combines product ownership with technical leadership, guiding architecture, analytics, and engineering to scale modern data capabilities across the region.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science or related field.
  • Significant leadership experience in Data, Analytics and AI.
  • Experience leading data engineering and platform organizations.
  • Experience establishing enterprise Data & AI strategies.

Responsibilities

  • Define and execute the EMEA & APAC Data & AI strategy.
  • Lead Data & AI products, platforms and engineering capabilities.
  • Establish data architecture, governance and technology direction.
  • Enable product organizations through shared data services and expertise.
  • Drive AI adoption and innovation across the business.
  • Build scalable data platforms and analytical capabilities.
  • Foster a data-driven culture across the organization.

Skills

Data Strategy
Data Engineering
AI & Machine Learning
Architecture
Analytics
Platform Leadership
Innovation & Transformation

Education

Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Data Science or related field

Job description

Electrolux Group is seeking a Head of Data & AI to lead strategic data initiatives across EMEA & APAC from our Stockholm HQ. You will own data platforms, governance, and AI-powered product capabilities, partnering with senior leaders to drive data-driven growth and transformation.

The role combines product ownership with technical leadership, guiding architecture, analytics, and engineering to scale modern data capabilities across the region.

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