Global Head of Data & AI Platform Services

Ericsson

Stockholms kommun

On-site

SEK 1,800,000 - 2,800,000

Full time

11 hours ago
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Job summary

Ericsson in Stockholm is seeking a Head of Data & AI Platform Services to lead a global organization responsible for end-to-end data platforms and AI foundations that accelerate data-driven engineering and AI adoption.

You will report to the NES Leadership Team and collaborate with senior leaders across R&D to establish scalable data capabilities that unlock business value and drive governance, security and cost efficiency.

Qualifications

  • Extensive leadership experience in data, AI and platform engineering within R&D environments.
  • Strong understanding of data platforms, governance, analytics and AI technologies.
  • Proven track record in driving digital transformation and AI adoption in large international organizations.

Responsibilities

  • Define and execute the strategy for Data & AI Platform Services.
  • Lead evolution of data platforms, marketplaces, and AI foundation capabilities.
  • Drive data enablement and AI adoption with trusted, reusable data products.
  • Establish and govern data foundations, architectures, ingestion and storage
  • Ensure secure, compliant management of enterprise data assets.
  • Lead AI scaling foundations to accelerate AI-enabled engineering and business transformation.
  • Drive governance, catalog, quality and compliance across the R&D ecosystem.
  • Collaborate with engineering, business and partners to optimize investments.

Skills

Data leadership
AI foundations
Data platforms
Data governance
Stakeholder management
Strategic planning
Financial acumen
Cross-functional leadership
Global team building
Security & compliance

Job description

Ericsson in Stockholm is seeking a Head of Data & AI Platform Services to lead a global organization responsible for end-to-end data platforms and AI foundations that accelerate data-driven engineering and AI adoption.

You will report to the NES Leadership Team and collaborate with senior leaders across R&D to establish scalable data capabilities that unlock business value and drive governance, security and cost efficiency.

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