jobapplier

Data & AI Architect

Ocbc

Skills

Required

  • AI
  • enterprise/solution architecture
  • data/AI architectures
  • streaming
  • batch
  • lakehouse
  • analytics
  • ML / GenAI
  • enterprise data platform modernisation
  • MLOps
  • multi‑cloud or hybrid environments
  • Azure
  • Synapse / Fabric
  • BigQuery / Vertex
  • Kafka

Preferred

  • CISSP / CCSP
  • artificial intelligence
  • Data & AI architecture
  • data mesh/lakehouse
  • domain roadmaps

About Ocbc

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.
  • Or simply enjoy a vibrant, future-ready career.
  • Your Opportunity Starts Here.

Responsibilities

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • Embed data quality, lineage, retention, encryption, and access controls.
  • Ensure designs meet data privacy, model risk, and operational resilience requirements across jurisdictions.
  • 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.
  • Coach solution architects and engineers; curate reusable reference implementations and run patterns guilds to uplift Data & AI architecture competency across the organisation.

Requirements

  • & 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.

Preferred

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

Benefits

  • Build lasting value in your community.
  • Help people grow their assets, business, and investments.
  • Take your learning as far as you can.
  • 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.