Define and execute the APAC AI and intelligent automation roadmap aligned with global IT strategy and business priorities.
Collaborate with global AI teams to adopt, localize, and scale enterprise AI solutions for APAC.
Identify, prioritize, and deliver high‑impact AI and automation use cases across business functions, including knowledge management, customer operations, and process automation.
Research and trial new technologies and assess suitability for business applications.
Measure and communicate business value, adoption, and risk posture of AI initiatives.
Drive safe, secure, and compliant adoption of approved AI platforms and tools.
Lead AI enablement initiatives such as training programs, workshops, and agent‑builder communities to improve AI fluency across IT and business teams.
Oversee the design and implementation of AI solutions built on Microsoft Azure, ensuring scalability, security, and enterprise integration.
Represent APAC IT in the Global AI Governance Council, contributing to policies on ethical AI, data privacy, and tool approval.

Proven experience leading AI, automation, or advanced analytics initiatives in enterprise environments.
Strong hands‑on and architectural experience with Microsoft Azure including: Azure OpenAI Service, Azure AI Search, Azure Machine Learning, Azure Data Lake / Synapse Analytics, Databricks, Azure DevOps / GitHub Enterprise, Power Platform (AI Builder, Power Automate, Copilot Studio)
Solid understanding of: Generative AI and large language models (prompting, embeddings, RAG patterns), machine learning lifecycle and MLOps, data engineering and feature pipelines, API‑based system integration, vector databases and semantic search.
Experience delivering AI use cases that generate measurable business outcomes.
Familiarity with AI governance, ethical AI principles, and data privacy frameworks.

Manager I, AI & Automation

Key skills