VP, Technical Lead, Institutional Banking Group Technology, Group Technology

DBS Bank Ltd; Singapore; On-site; SGD 200,000 - 320,000; Full time

Job summary

DBS Bank Ltd. seeks a Vice President to lead Customer Management & Analytics Platform engineering. You will steer architecture, design and delivery of strategic CMA platforms enabling customer onboarding, relationship management and servicing at scale.

You will define technology strategy, drive modernization through microservices, APIs and event-driven architectures, and ensure security and regulatory compliance while guiding incident investigations for reliability.

Qualifications

• Minimum 10 years of technology experience with hands-on software engineering and development experience.
• Proven track record leading software development teams and engineering organisations in banking or financial services.
• Experience delivering large-scale mission-critical platforms supporting customer-facing or operational banking functions.

Responsibilities

• Lead architecture, design, development and delivery of CMA platforms for customer onboarding, relationship management and servicing.
• Define platform technology strategy and engineering roadmaps aligned to IBGT and business objectives.
• Drive platform modernization using cloud-native tech, microservices, APIs, and event-driven patterns.
• Guide solution architecture, code reviews and ensure scalability, security and reliability.
• Lead incident investigations and long-term corrective actions to improve platform resilience.

Skills

Leadership

Enterprise architecture

Java

Spring Boot

Microservices

APIs

Event-driven architectures

Kafka

Cloud-native platforms

DevSecOps

AI/ML deployment

Education

Bachelor or Master Degree in Computer Science, Engineering, Information Technology or a related discipline

Tools

OpenShift/Tanzu

Job description

Vice President,Customer Management & Analytics Platform, Developer Lead

Institutional Banking Group Technology, DBS SingaporeAbout the Role

WHAT YOU'LL DO

Engineering & Technology Leadership

Lead the architecture, design, development and delivery of strategic CMA platforms supporting customer acquisition, account onboarding, relationship management, workflow automation, servicing and operational processes. Define platform technology strategy and engineering roadmaps aligned to IBGT and business objectives. Drive platform modernisation initiatives leveraging cloud-native technologies, microservices, APIs, event-driven architectures and enterprise integration patterns. Deep dive into solution architecture, application design and code reviews to ensure scalability, resilience, security, maintainability and performance. Lead complex technical decision-making and provide guidance on architecture evolution, technical debt management and platform investment priorities. Ensure solutions comply with technology risk, cyber security, regulatory and data governance requirements. Lead incident investigations, root cause analysis and long-term corrective actions while continuously improving platform reliability.

AI, Agentic AI & Innovation

Lead the design and implementation of GenAI and Agentic AI solutions to improve customer experience, productivity, platform intelligence and operational efficiency. Drive adoption of enterprise AI capabilities including LLM platforms, Retrieval-Augmented Generation (RAG), AI agents, knowledge management platforms and intelligent workflow orchestration. Partner with business and operations teams to identify high-value AI use cases and accelerate industrialisation of successful experiments. Build sustainable AI engineering practices including observability, governance, model lifecycle management and responsible AI controls. Evaluate emerging technologies and translate innovation opportunities into scalable business solutions.

People Leadership

Build a strong engineering culture centred on accountability, innovation, collaboration and continuous learning. Attract, recruit and retain high-performing technology professionals. Create an environment where engineers can balance innovation, experimentation and delivery excellence.

WHAT WE'RE LOOKING FOR

Experience & Leadership competencies

Minimum 10 years of technology experience with substantial hands-on software engineering and application development experience. Proven track record leading software development teams and engineering organisations in banking or financial services. Extensive experience as both a software developer and developer lead across enterprise-scale systems. Experience delivering large-scale mission-critical platforms supporting customer-facing or operational banking functions. Proven success working within complex global organisations with matrix reporting structures. Proven ability to lead through ambiguity and organisational complexity. Possess a track record of managing and developing engineering leaders and technical professionals. Strong coaching, mentoring and succession planning capabilities. Experience balancing innovation, R&D work and production delivery commitments simultaneously. Strong understanding of banking technology controls, risk management, cybersecurity and regulatory expectations. Strong ownership mindset with a "can-do" attitude and passion for continuous improvement.

Domain Expertise

Experience in any one of the following domains:Generative AI and Agentic AI

• Data Analytics and Business Intelligence
• Big Data Platforms and Data Engineering
• Customer Relationship Management (CRM)
• Digital Customer Onboarding
• Account Opening Platforms
• Workflow and Business Process Management
• Commercial Banking and Corporate Banking Platforms

Technical Skills

• Strong experience in enterprise application architecture and solution design.
• Deep hands-on development experience in Java, Spring Boot, Microservices and API development.
• Strong understanding of event-driven architectures, Kafka, messaging platforms and enterprise integration patterns.
• Experience working with cloud-native platforms, containers, OpenShift, Tanzu or equivalent cloud technologies.
• Strong knowledge of databases, data architecture and distributed systems.
• Experience with DevSecOps, CI/CD, test automation and modern software engineering practices.
• Strong understanding of AI/ML deployment architecture and enterprise AI platforms.
• Ability to review solution design, architecture and source code at a detailed technical level.
• Experience designing resilient, scalable and cost-effective enterprise solutions.

Education

Bachelor or Master Degree in Computer Science, Engineering, Information Technology or a related discipline.

Location: DBS Asia HubJob: TechnologySchedule: RegularEmployee Status: Full time