Head of AI Data Platform & Engineering
Posted 9
views
Summary
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.