About The Role

Vice President, Customer Management & Analytics Platform, Developer Lead

Institutional Banking Group Technology, DBS Singapore

About the Role

We are seeking a highly experienced and hands-on technology leader to lead engineering, architecture and delivery for Customer Management & Analytics (CMA) platform within Institutional Banking Group Technology (IBGT).

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.