Enterprise Data and AI Architect

Eames Consulting; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Eames Consulting is seeking an Enterprise Data & AI Architect in Singapore to define the future state of the organisation's intelligence ecosystem. The role will set group-wide blueprints, drive multi-year roadmaps, and align data/AI initiatives with governance and risk controls.

The architect will shape patterns for real-time and batch data systems, collaborate with engineering teams, and ensure privacy-by-design across platforms.

Qualifications

• 10+ years in enterprise or solution architecture.
• 6+ years leading data/AI/ML architectures at scale.
• Experience modernising data platforms across hybrid/multi-cloud (AWS/Azure/GCP).
• Strong governance, data lineage, and MRM knowledge.
• Ability to influence senior stakeholders and govern across programs.

Responsibilities

• Shape group-wide blueprints and multi-year roadmaps for data/AI platforms.
• Act as cross-domain design authority and govern architecture reviews.
• Publish architecture patterns, reference models, and safety controls.
• Ensure designs meet privacy, lineage, resilience, and regulatory risk controls.
• Collaborate with Solution Architects and Engineering leads to high-quality designs.

Skills

Enterprise data & AI architecture

Cloud data platforms

Data governance & privacy

Stakeholder leadership

MLOps/LLMOps

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.