About this role
Manager I, AI & Automation will lead and scale AI capabilities across APAC, translating global AI strategy into regional execution, with a focus on governance, secure deployment, and business value realization.
Key Responsibilities
- Define and execute APAC AI roadmap; oversee Azure-based AI solutions; lead AI enablement programs; ensure governance and security; align with enterprise architecture standards
Technical Overview
Stack centers on Microsoft Azure and enterprise AI services; responsibilities include architecture, MLOps, data pipelines, and governance across knowledge search, workflow automation, and AI-assisted customer interactions.
Ideal Candidate
The ideal candidate is a senior-level AI & Automation leader with 6+ years driving enterprise AI initiatives, deep Azure stack expertise (including Azure OpenAI, ML, and data services), and a track record delivering measurable business value through scalable AI solutions.
Must-Have Skills
Proven experience leading AIautomationor advanced analytics initiatives in enterprise environmentsStrong hands-on and architectural experience with Microsoft Azureincluding: Azure OpenAI Service; Azure AI Search; Azure Machine Learning; Azure Data Lake / Synapse Analytics; Databricks; Azure DevOps / GitHub Enterprise; Power Platform (AI BuilderPower AutomateCopilot Studio)Solid understanding of Generative AI and large language models (promptingembeddingsRAG patterns)Machine learning lifecycle and MLOpsData engineering and feature pipelinesAPI-based system integrationVector databases and semantic searchExperience delivering AI use cases that generate measurable business outcomesFamiliarity with AI governanceethical AI principlesand data privacy frameworks
Nice-to-Have Skills
Microsoft certifications (Azure AI EngineerData Scientistor related)Experience working in global or federated IT organizationsStrong stakeholder engagement and changemanagement skillsBackground in enterprise architecturesolution designor digital transformation
Tools & Platforms
Microsoft AzureAzure OpenAI ServiceAzure AI SearchAzure Machine LearningAzure Data Lake / Synapse AnalyticsDatabricksAzure DevOps / GitHub EnterprisePower Platform (AI BuilderPower AutomateCopilot Studio)
Required Skills
Proven experience leading AIautomationor advanced analytics initiatives in enterprise environments; hands-on Azure expertise including Azure OpenAI ServiceAzure AI SearchAzure Machine LearningAzure Data Lake / Synapse AnalyticsDatabricksAzure DevOps / GitHub EnterprisePower Platform; Generative AILLMsMLOpsdata engineeringAPI integrationsvector databasessemantic searchgovernance and data privacy
Hard Skills
AIautomationenterprise AIMicrosoft AzureAzure OpenAI ServiceAzure AI SearchAzure Machine LearningAzure Data Lake / Synapse AnalyticsDatabricksAzure DevOps / GitHub EnterprisePower Platform (AI BuilderPower AutomateCopilot Studio)Generative AIlarge language models (LLMs)MLOpsdata engineeringfeature pipelinesAPI-based integrationvector databasessemantic searchgovernancedata privacy frameworks
Soft Skills
strategic leadershipstakeholder engagementchange managementcommunicationteam leadershipcollaborationrisk managementdecision making
Certifications
Preferred
Microsoft Certified: Azure AI Engineer AssociateMicrosoft Certified: Azure Data Scientist Associate
Keywords for Your Resume
ai & automationenterprise aimicrosoft azureazure openai serviceazure ai searchazure machine learningazure data lake / synapse analyticsdatabricksazure devops / github enterprisepower platformai builderpower automatecopilot studiogenerative aillmmlopsdata engineeringfeature pipelinesapi-based integrationvector databasessemantic searchgovernancedata privacystakeholder engagementMicrosoft AzureAzure OpenAI ServiceAzure Machine LearningDatabricksPower PlatformCopilot StudioLLMsMLOps
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