Data & AI Architect

About the role

A Singapore bank invites a Data & AI Architect to lead its enterprise data and artificial intelligence architecture strategy and blueprints, covering how data is collected, secured, processed, activated and monetised. The role acts as design authority across programmes so that solution designs conform to the target state and deliver business outcomes aligned to the enterprise architecture roadmap.

Key responsibilities

• Define and maintain the target-state Data & AI architecture (data mesh/lakehouse, streaming, analytics, MLOps, metadata/lineage) and domain roadmaps aligned to business strategy and regulation.
• Chair design reviews for initiatives spanning channels, core banking, risk, finance and compliance, adjudicate architecture decisions and manage dispensations with remediation timelines.
• Publish and evolve standards for data modelling, eventing, ML lifecycle, feature stores, model risk controls, privacy-by-design and responsible AI, driving adoption through governance gates.
• Partner with solution architects and engineering leads to shape designs (batch/stream, APIs, real-time scoring, vector stores/RAG, feature pipelines) and assure conformance before build and go-live.
• Embed data quality, lineage, retention, encryption and access controls, ensuring designs meet data privacy, model risk and operational resilience requirements.
• Define measurable outcomes such as time-to-model and cost-to-serve, tracked via OKRs, and coach solution architects and engineers.

Required profile

• 10-15+ years in enterprise/solution architecture, including at least 6 years leading data/AI architectures at scale.
• Proven ownership of enterprise data platform modernisation and MLOps across multi-cloud or hybrid environments.
• Strong grasp of data governance, lineage/metadata, model risk controls and responsible AI, including privacy and security-by-design.
• Excellent stakeholder management and communication, able to influence senior leaders and arbitrate design decisions.

Required skills

• Hands-on expertise with major cloud data/AI platforms (Azure Synapse/Fabric/ML, AWS Redshift/SageMaker, GCP BigQuery/Vertex AI).
• Streaming (Kafka), orchestration, and catalog/lineage tools.
• Nice to have: TOGAF, Azure/AWS/GCP architect certifications, CISSP/CCSP, DAMA CDMP, SnowPro, Databricks Professional.

What we offer

• Competitive base salary.
• Holistic, flexible benefits and community initiatives.
• Learning and professional development opportunities.