Data and AI Architect

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

EAMES CONSULTING GROUP (SINGAPORE) PTE. LTD. seeks an Enterprise Data & AI Architect to define the future-state intelligence ecosystem at group level. You will set blueprints, standards, and governance for enterprise data and AI, ensuring alignment across programs and regulatory controls.

You will lead cross-functional teams to design, govern, and operationalise data platforms with a focus on privacy, resilience, and scalable ML workflows in a multi-cloud environment.

Qualifications

• Minimum 10 years in enterprise or solution architecture.
• At least 6 years leading data and AI/ML architectures at scale.
• Experience modernising data platforms across hybrid/multi-cloud (AWS, Azure, GCP).
• Understanding governance, data lineage, MRM, and privacy-by-design.

Responsibilities

• Shape group-wide blueprints and multi-year roadmaps for data/AI platforms.
• Act as cross-domain design authority and guide architecture reviews.
• Publish and enforce architecture patterns, reference models, and security controls.
• Collaborate with Solution Architects and Engineering leads to assure designs.

Skills

Enterprise Architecture

Data & AI

Cloud Platforms

Stakeholder Influence

Tools

Kafka

Lakehouse

Job description

We are partnered with an established premier financial institution in Singapore looking to appoint an Enterprise Data & AI Architect to drive the future state of their intelligence ecosystem. This role sits at the group architecture level, setting the overarching blueprints and design standards that transform how enterprise-wide data and artificial intelligence are architected, governed, and operationalised.

Key Responsibilities:

• Shape and steer the group-wide target-state blueprints and multi-year roadmaps across Lakehouse/Mesh platforms, streaming architectures, and end-to-end MLOps/LLMOps environments.
• Act as the cross-domain design authority, arbitrating architecture review boards, governing design dispensations, and ensuring complex cross-functional programs align with long-term technology roadmaps.
• Publish and enforce robust architecture patterns and reference models covering distributed data modelling, real-time eventing, feature stores, model risk management, and Responsible AI frameworks.
• Work hand-in-hand with business unit Solution Architects and Engineering leads to quality-assure solution designs across batch/real-time streaming pipelines, API scoring, and enterprise retrieval architectures.
• Ensure strict architectural alignment with data privacy, lineage, operational resilience, and financial regulatory risk controls.

Requirements:

• At least 10 years of experience across enterprise or solution architecture, with at least 6 years spent spearheading modern data and AI/ML architectures at enterprise scale.
• Demonstrated background designing and modernising data platforms across hybrid/multi-cloud setups (covering AWS, Azure, or GCP stacks, Kafka, and data lake/lakehouse implementations).
• Deep understanding of enterprise governance, data lineage/metadata, Model Risk Management (MRM), and security/privacy-by-design principles.
• Proven track record serving as an architecture design authority, leading architectural governance councils, and influencing senior business and technology stakeholders.