Global Workplace IT Lead - AI-Driven Regional Ops

United States Digital Space LLC

Puteaux

Hybride

EUR 90 000 - 120 000

Plein temps

Il y a 4 jours
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Avantages offerts par ce poste

Telework Charter
Meal vouchers
Profit-sharing bonus
CSE

Résumé du poste

United States Digital Space LLC in Paris is seeking a Senior Workplace IT Leader to own end‑to‑end IT operations across France and the US. You’ll shape strategy, drive standards, and mentor regional teams in a fast‑growing, international environment.

This is not a pure support role but a leadership position shaping the technology roadmap. You will manage onboarding/offboarding, IAM, MDM, SSO, security stacks, and collaboration tools, while advancing AI‑driven modernization across multiple

Qualifications

  • 5+ years in Workplace IT / Systems / Network roles, with leadership or ownership experience.
  • Ability to lead without a large team (hands-on + strategic).
  • Strong decision-making skills and a sense of accountability.
  • Experience coordinating stakeholders across regions.
  • Excellent communication skills, able to align technical and business needs.

Responsabilités

  • Lead the Workplace IT function across regions (France and US).
  • Coordinate and mentor Level 1 support (internal or external).
  • Run global IT operations and ensure consistent service delivery.
  • Own onboarding/offboarding workflows at scale.
  • Oversee end-user support and escalation management.

Connaissances

Workplace IT
Leadership
Stakeholder coordination
Communication
English fluency

Description du poste

United States Digital Space LLC in Paris is seeking a Senior Workplace IT Leader to own end‑to‑end IT operations across France and the US. You’ll shape strategy, drive standards, and mentor regional teams in a fast‑growing, international environment.

This is not a pure support role but a leadership position shaping the technology roadmap. You will manage onboarding/offboarding, IAM, MDM, SSO, security stacks, and collaboration tools, while advancing AI‑driven modernization across multiple

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