Head of AI Data Platform & Engineering

Page Executive; Singapore; On-site; SGD 220,000 - 360,000; Full time

Job summary

Page Executive is seeking a Head of AI Data Platform & Engineering for a Singapore-based role. You will shape the enterprise data platform strategy to power AI, analytics and digital transformation across the business.

You will lead multidisciplinary teams spanning data engineering, platform engineering, information management and governance, ensuring reliable, scalable and cost-efficient data platforms while adopting cutting-edge AI technologies.

Qualifications

• Experience building and scaling enterprise data platforms for AI, analytics, or digital products.
• Deep expertise in modern data architecture and cloud data ecosystems.
• Hands-on with AI enabling tech like knowledge graphs, vector databases, and enterprise search.
• Proven data governance across quality, metadata, privacy, and compliance.
• Experience leading large multidisciplinary data and AI teams.

Responsibilities

• Define long-term strategy for enterprise data platforms supporting AI and analytics.
• Lead design and delivery of reusable data products and shared services.
• Establish data discovery, metadata, and enterprise search approaches.
• Build scalable retrieval, indexing, and contextualisation for AI apps.
• Set architectural standards across data platforms and AI-enabled services.
• Partner with leaders to prioritise investments and accelerate AI use cases.
• Implement governance frameworks for data quality, privacy, security, and compliance.
• Lead multidisciplinary teams in data engineering, platform engineering, information management, and governance.
• Ensure reliability, observability, scalability, and cost efficiency.
• Evaluate emerging technologies to strengthen enterprise AI and data capabilities.

Skills

Enterprise data platforms

AI & data modernization

Data governance

Cloud data ecosystems

Leadership

Tools

Knowledge graphs

Semantic layers

Vector databases

Enterprise search

Retrieval-based 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.