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.
Competitive base salary. A suite of holistic, flexible benefits to suit every lifestyle. Community initiatives. Industry-leading learning and professional development opportunities. Your wellbeing, growth and aspirations are every bit as cared for as the needs of our customers.
Skills Required
- 10–15+ years of experience in enterprise or solution architecture
- At least 6 years leading data and AI architectures at scale
- Experience with streaming, batch, lakehouse, analytics, machine learning, or generative AI architectures
- Ownership of enterprise data platform modernization and MLOps across multi-cloud or hybrid environments
- Strong knowledge of data governance, lineage, metadata, model risk controls, responsible AI, privacy, and security by design
- Hands-on expertise with major cloud data and AI platforms
- Experience with streaming technologies such as Kafka, orchestration, and catalog or lineage tools
- Excellent stakeholder management and communication across business, technology, risk, and compliance
- Ability to influence senior leaders and arbitrate architecture decisions
- Demonstrated ability to define architectures, lead cross-domain programs, and drive adoption of standards and patterns
- TOGAF or equivalent architecture certification
- Azure Solutions Architect Expert, Azure Data Engineer, Azure AI Engineer, or equivalent AWS/GCP certification
- Databricks Professional, SnowPro, or DAMA CDMP certification
- CISSP, CCSP, or equivalent security/privacy certification
What We Do
OCBC is the longest established Singapore bank, formed in 1932 from the merger of three local banks, the oldest of which was founded in 1912. It is now the second largest financial services group in Southeast Asia by assets and one of the world’s most highly-rated banks, with an Aa1 rating from Moody’s. Recognised for its financial strength and stability, OCBC is consistently ranked among the World’s Top 50 Safest Banks by Global Finance and has been named Best Managed Bank in Singapore by The Asian Banker. OCBC and its subsidiaries offer a broad array of commercial banking, specialist financial and wealth management services, ranging from consumer, corporate, investment, private and transaction banking to treasury, insurance, asset management and stockbroking services. OCBC’s key markets are Singapore, Malaysia, Indonesia and Greater China. It has more than 570 branches and representative offices in 19 countries and regions. These include about 300 branches and offices in Indonesia under subsidiary Bank OCBC NISP, and over 90 branches and offices in Mainland China, Hong Kong SAR and Macau SAR under OCBC Wing Hang. OCBC’s private banking services are provided by its 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. OCBC's insurance subsidiary, Great Eastern Holdings, is the oldest and most established life insurance group in Singapore and Malaysia. Its asset management subsidiary, Lion Global Investors, is one of the largest private sector asset management companies in Southeast Asia.
.png){kind=logo}
