Data & AI Architect

OCBC Bank; Singapore; On-site; SGD 180,000 - 260,000; Full time

Benefits offered by this job

Competitive base salary

Holistic benefits

Learning & development opportunities

Community initiatives

Job summary

OCBC Bank is seeking an experienced Enterprise Data & AI Architect to lead the architecture strategy, blueprints, and governance for data collection, security, processing, activation, and monetisation across the bank. You will act as the design authority to ensure target state results align with the enterprise roadmap.

You will define target architectures (data mesh/lakehouse, streaming, ML lifecycle) and chair cross‑domain reviews while driving standards, risk controls, and compliant, scalable

Qualifications

• 10–15+ years in enterprise/solution architecture with data/AI leadership at scale.
• Proven ownership of data platform modernisation and MLOps across multi‑cloud or hybrid environments.
• Strong grasp of governance, lineage, model risk controls, privacy and security‑by‑design.
• Hands‑on experience with major cloud data/AI platforms and streaming technologies.

Responsibilities

• Define and maintain target‑state Data & AI architecture and roadmaps aligned to strategy.
• Chair design reviews and arbitrate architecture decisions across domains.
• Publish standards for data modelling, ML lifecycle, feature stores, and responsible AI.
• Partner with solution architects to shape designs and ensure conformance to blueprint.
• Embed data quality, retention, encryption, and access controls; ensure regulatory compliance.
• Define measurable outcomes and drive adoption of reusable patterns and governance gates.
• Coach engineers and foster reusable reference implementations and run patterns.

Skills

Enterprise data architecture

Data governance

MLOps

Cloud data platforms

Streaming / batch processing

Solution architecture

Stakeholder management

Cross-domain leadership

Privacy by design

Tools

Azure Synapse/Fabric/ML

AWS Redshift / SageMaker

GCP BigQuery / Vertex AI

Kafka

Data catalog / lineage tools

ETL/Orchestration tools

Job description

WHO WE ARE:

As Singapore’s longest established bank, we have been dedicated to enabling individuals and businesses to achieve their aspirations since 1932. How? By taking the time to truly understand people. From there, we provide support, services, solutions, and career paths that meet their individual needs and desires. Today, we’re on a journey of transformation. Leveraging technology and creativity to become a future‑ready learning organisation. But for all that change, our strategic ambition is consistently clear and bold, which is to be Asia’s leading financial services partner for a sustainable future. We invite you to build the bank of the future. Innovate the way we deliver financial services. Work in friendly, supportive teams. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future‑ready career. Your Opportunity Starts Here.

ROLE PURPOSE

Lead the enterprise data and artificial intelligence (AI) architecture strategy and blueprints that govern how data is collected, secured, processed, activated, and monetised across the bank. Act as design authority across programmes to ensure solution designs conform to target state and deliver business outcomes aligned to the enterprise architecture roadmap.

Key Accountabilities

Enterprise Blueprints & Roadmaps: Define and maintain the target‑state Data & AI architecture (e.g., data mesh/lakehouse, streaming, analytics, MLOps, metadata/lineage) and domain roadmaps aligned to business strategy and regulatory obligations. Cross‑Domain Design Authority: Chair/participate in design reviews for initiatives on Data & AI domain which span across channels, core banking, risk, finance, and compliance; adjudicate architecture decisions and manage dispensations with clear remediation timelines. Standards, Patterns & Reference Architectures: Publish and evolve standards for data modelling, eventing, ML lifecycle, feature stores, model risk controls, privacy‑by‑design, and responsible AI; drive adoption through architecture governance gates. Solution Guidance & Quality Assurance: Partner with solution architects and engineering leads to shape designs (batch/stream, APIs, real‑time scoring, vector stores/RAG, feature pipelines) and assure conformance to blueprint pre‑build, during build, and pre‑go‑live. Risk, Controls & Compliance: Embed data quality, lineage, retention, encryption, and access controls. Ensure designs meet data privacy, model risk, and operational resilience requirements across jurisdictions. Value Realisation & Metrics: Define measurable outcomes (e.g., time‑to‑model, reuse of data products/patterns, cost‑to‑serve) and track via OKRs; inform investment prioritisation through architecture insights. People & Capability: Coach solution architects and engineers; curate reusable reference implementations and run patterns guilds to uplift Data & AI architecture competency across the organisation.

Experience & Competencies

10–15+ years in enterprise/solution architecture with at least 6 years leading data/AI architectures at scale (streaming, batch, lakehouse, analytics, ML/GenAI). 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 practices, including privacy and security‑by‑design. Hands‑on expertise with major cloud data/AI platforms (e.g., Azure Synapse/Fabric/ML, AWS Redshift/SageMaker, GCP BigQuery/Vertex AI), streaming (Kafka), orchestration, catalog/lineage tools. Excellent stakeholder management and communication across business, technology, risk, and compliance; able to influence senior leaders and arbitrate design decisions. Demonstrated ability to define new architectures, lead cross‑domain programs, and drive adoption of standards and patterns with measurable outcomes.

Expected Certifications (nice‑to‑have)

Architecture: TOGAF or equivalent. Cloud/Data/AI: Azure Solutions Architect Expert; Azure Data Engineer or AI Engineer (or AWS/GCP equivalents); Databricks Professional; SnowPro; DAMA CDMP. Security/Privacy: CISSP/CCSP or equivalent; data privacy certifications are advantageous.

What we offer:

• Competitive base salary.
• A suite of holistic, flexible benefits to suit every lifestyle.
• Community initiatives.
• Industry‑leading learning and professional development opportunities.

Let’s build the bank we need for the future we want. Find the best version of yourself in a friendly, supportive team. Build lasting value in your community. Help people grow their assets, business, and investments. Take your learning as far as you can. Or simply enjoy a vibrant, future‑ready career. Your Opportunity Starts Here

As the longest established Singapore bank, formed in 1932 from the merger of three local banks, we have grown from strength to strength to become a regional financial services group. With a deep history in Asia, we offer the most comprehensive coverage across ASEAN and Greater China, complemented with a presence in the leading economies of New York, London and Sydney. We are the second largest financial services group in Southeast Asia by assets with one of the world’s highest credit rating (Aa1 by Moody’s and AA- by both Fitch and S&P). We offer private banking services through our wholly‑owned subsidiary, Bank of Singapore, which operates on a unique open‑architecture product platform to source for the best‑in‑class products to meet its clients’ goals. Our insurance subsidiary, Great Eastern Holdings, is the oldest and most established life insurance group in Singapore and Malaysia.