Head of AI-OPS & Automation

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Date: Jun 18, 2026

Location: Kuala Lumpur, MY, 50470

Company: International SOS

About the role

  • Our Mission: We run 24/7 global tech supporting life-critical medical and security services worldwide.

  • Our Shift: We are moving from manual, reactive support to smart, AI-driven operations.

  • Our Culture: We value purpose, ownership, and real-world impact over hierarchy in a fast-evolving global team.

  • The Mission: A senior, hands-on IT Shared Services leader to build and scale modern automation and AIOps tools.

  • The Focus: Stop maintaining old systems—build what is next, use AI to simplify operations, and stop issues before they happen.

Job Responsibilities

Strategy & AI

  • Set Roadmap: Own AIOps and automation strategy.

  • Target Impact: Prioritize high-value, practical AI use cases.

  • Prove Value: Balance quick wins with scalable solutions.

Smart Operations

  • Build Observability: Design cloud and infrastructure monitoring.

  • Detect Early: Use AI to spot data patterns and risk signals.

  • Reduce Noise: Turn high alert volumes into actionable insights.

Scaled Automation

  • Cut Manual Tasks: Replace repetitive work with orchestration.

  • Auto-Remediate: Drive self-healing systems and self-service.

  • Embed Workflows: Integrate automation into daily operations.

Leadership

  • Lead Engineers: Manage the automation and AIOps engineering team.

  • Foster Culture: Drive continuous learning and ownership.

  • Partner Globally: Align with cloud, security, and vendors.

Job Requirements

Required Work Experience
  • Experience in IT operations, automation, platform, or AIOps‑related roles.
  • Experience delivering automation or data‑driven improvements in production environments.
  • Experience working with regional or global systems is a plus.
  • We do not require a specific number of years. We care about what you’ve built, improved, and learned.

Required Qualifications
  • Degree or equivalent experience in Computer Science, Engineering, IT, Data, or related fields.
  • Cloud, automation, or AI‑related certifications are welcome but not mandatory.
  • Continuous learning is strongly valued.

 

Skills Required

Technical Skills

  • Solid understanding of modern IT environments (cloud, hybrid, SaaS).
  • Practical experience with automation, orchestration, or platform integration.
  • Working knowledge of AIOps concepts, observability, telemetry, and analytics.
  • Comfortable working with data (logs, metrics, events) at scale.

AI & Innovation Mindset

  • Hands‑on exposure to AI, machine learning, or advanced analytics in real systems.
  • Interest in using AI to solve operational problems — not just building models.
  • Curious, experimental, and willing to test new ideas.

Ways of Working

  • Comfortable taking ownership and making decisions.
  • Able to work in fast‑moving, evolving environments.
  • Strong communication skills — simple, clear, and practical.