Head of AI Data Platform & Engineering

Michael Page International; Singapore; On-site; SGD 180,000 - 240,000; Full time

Job summary

Michael Page International in Singapore seeks a Head of AI Data Platform & Engineering to drive the strategy and delivery of enterprise data platforms enabling AI, analytics and digital transformation.

You will lead cross-functional teams across data engineering, platform engineering, information management, and governance, setting standards for reliability, scalability, and cost efficiency while ensuring compliant data practices.

Qualifications

• Proven experience building and scaling enterprise-wide data platforms for AI/analytics
• Experience establishing governance for data quality, privacy, and compliance
• Leadership of large multidisciplinary teams across data engineering, platform engineering, information management, and AI governance

Responsibilities

• Define the long-term strategy for enterprise data platforms that support AI, analytics, and digital transformation initiatives.
• Lead the design and delivery of reusable data products, shared services, and information assets across business functions.
• Establish modern approaches to data discovery, metadata, and enterprise search to improve access to trusted information.
• Build scalable retrieval, indexing, and contextualisation capabilities for AI-driven applications.
• Drive architectural standards across data platforms, pipelines, storage, integration, and AI-enabled services.
• Partner with business and technology leaders to prioritise investments and accelerate high-value AI use cases.
• Implement governance frameworks covering data quality, lineage, privacy, security, and compliance.
• Lead multidisciplinary teams spanning data engineering, platform engineering, information management, and governance.
• Ensure platforms operate with reliability, observability, scalability, and cost efficiency.
• Evaluate emerging technologies to strengthen enterprise AI and data capabilities.

Skills

Enterprise data platforms

AI/Analytics focus

Cloud data ecosystems

Data governance

Leadership

Cross-functional leadership

Tools

Knowledge graphs

Vector databases

Enterprise search

RAG architectures

Job description

• Enterprise-wide ownership of AI and data platforms
• Strong growth and leadership opportunities

About Our Client

Our client is a large, technology-driven enterprise investing heavily in AI, data modernization, and intelligent automation.

Job Description

• Define the long-term strategy for enterprise data platforms that support AI, analytics, and digital transformation initiatives.
• Lead the design and delivery of reusable data products, shared services, and information assets that can be leveraged across multiple business functions.
• Establish modern approaches to data discovery, knowledge management, metadata, and enterprise search to improve access to trusted information.
• Build scalable retrieval, indexing, and contextualisation capabilities that improve the quality and reliability of AI-driven applications.
• Drive architectural standards across data platforms, pipelines, storage, integration, and AI-enabled services.
• Partner with business and technology leaders to prioritise investments and accelerate delivery of high-value AI use cases.
• Implement governance frameworks covering data quality, security, lineage, privacy, compliance, and responsible AI practices.
• Lead and develop multidisciplinary teams spanning data engineering, platform engineering, information management, and governance.
• Ensure platforms operate with strong reliability, observability, scalability, and cost efficiency.
• Evaluate emerging technologies and industry trends to strengthen enterprise AI and data capabilities.

The Successful Applicant

A successful Head of AI Data Platform & Engineering should have:

• Proven experience building and scaling enterprise-wide data platforms that support AI, advanced analytics, and digital products ideally in Financial Services, Telecommunications, Technology, or other highly regulated environments.
• Deep expertise in modern data architecture, data engineering, and cloud-based data ecosystems within large, complex organisations.
• Hands-on experience with AI-enabling technologies such as knowledge graphs, semantic layers, vector databases, enterprise search, and retrieval-based architectures (RAG).
• Track record establishing data governance frameworks covering data quality, metadata, lineage, privacy, security, and regulatory compliance.
• Experience leading large multidisciplinary teams across data engineering, platform engineering, information management, and AI/data governance functions.

What's on Offer

This is a Singapore based role offering a market leading opportunity, competitive compensation and comprehensive benefits package.