Enterprise AI & Data Architecture Director

Singtel; Singapore; On-site; Confidential; Full time

Benefits offered by this job

Flexible work arrangements

Health and wellness benefits

Training and development programs

Internal mobility opportunities

Job summary

Singtel is seeking a Senior AI Data and Enterprise Architect/Director to design and govern enterprise data and AI platforms, spanning data lakehouse, AI/ML lifecycle, and safety controls. You will collaborate across business, product, engineering, security, and risk teams to ensure scalable, compliant solutions.

You will define reference architectures, roadmaps, and patterns for real-time analytics, data governance, and GenAI implementations, influencing strategy and investment.

Qualifications

• Bachelor's degree in CS/Engineering/IS; Master’s preferred or equivalent experience.
• 10–12+ years of experience in enterprise/data/platform architecture.
• Experience designing modern data platforms and AI/ML deployment architectures.

Responsibilities

• Lead end-to-end architecture for enterprise data and AI capabilities aligned to business strategy and measurable outcomes.
• Define target-state architectures, roadmaps, and standards for data, analytics, AI/ML, GenAI, and integration patterns.
• Facilitate architecture governance, reviews, standards enforcement, and technical decision records; ensure security and compliance.
• Collaborate with business, product, engineering, security, and risk teams to deliver reliable AI/data solutions.

Skills

Enterprise architecture

Data architecture

AI/ML deployment architectures

Leadership

Stakeholder management

Education

Bachelor’s degree in CS/Engineering/IS

Master’s degree preferred

Tools

Kubernetes

CI/CD pipelines

Cloud platforms (AWS/Azure/GCP)

Job description

Singtel is seeking a Senior AI Data and Enterprise Architect/Director to design and govern enterprise data and AI platforms, spanning data lakehouse, AI/ML lifecycle, and safety controls. You will collaborate across business, product, engineering, security, and risk teams to ensure scalable, compliant solutions.

You will define reference architectures, roadmaps, and patterns for real-time analytics, data governance, and GenAI implementations, influencing strategy and investment.