Leadership role in Singapore heading an enterprise AI and data platform: the person defines data platform strategy, builds RAG/search/knowledge-graph and cloud data capabilities, sets governance and architecture standards, and leads multidisciplinary data and platform engineering teams for a large technology-driven enterprise.
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.