ED/SVP, Regional CBG (Retail) Data Chapter Lead, Transformation and Data, Group COO

DBS Bank; Singapore; On-site; SGD 270,000 - 420,000; Full time

Job summary

DBS Bank in Asia Central seeks a Regional CBG (Retail) Data Chapter Lead to drive end-to-end data, analytics and AI ecosystems. You will lead a diverse team of data scientists, data translators, and business analysts, ensuring they have tools, skills, and direction to build, operate, and scale business-critical solutions.

You will partner with CBG leadership to identify opportunities where analytics can create significant business impact, shape analytics strategy, and champion responsible AI

Qualifications

• 15+ years of experience in data science and analytics, with at least 3+ years in a senior leadership role.
• Graduate / Post-graduate Degree preferably in a science or finance related discipline.
• Demonstrated success in taking advanced AI products from ideation to production at an enterprise scale.
• Strong business experience in financial services, preferably banking, with several years in managing data analytics / AI products delivery.
• Strong banking domain knowledge, ideally in institutional banking or banking operations.

Responsibilities

• Drive Business Outcome from Data Analytics.
• Develop analytics strategy and capability to maximize impact from AI/ML, including Gen AI and Agentic AI.
• Provide guidance in managing and prioritizing Data Analytics workstreams and backlogs.
• Drive use of data and AI in sustainable, responsible way.
• Build & Operate (Build & Run) data products end-to-end lifecycle.
• Partner with technology stakeholders to ensure scalable data & analytics pipelines.
• Governance, Risk & Compliance: Ensure all AI/GenAI models comply with internal policies.

Skills

Data analytics

AI/ML

Gen AI

Leadership

Stakeholder management

Cloud platforms

MLOps

Data governance

Communication

Education

Bachelor's or higher in science or finance

Tools

Modern data stacks

Job description

Role SummaryAs a Regional CBG (Retail) Data Chapter Lead, you will be responsible for the end-to-end data, analytics, and AI ecosystem. Operating at the intersection of business strategy and deep technical execution, you will provide thought leadership to uncover new value pools using advanced data capabilities. You will lead a diverse team of data professionals, including Data Scientists, Data Translators, and Business/Data Analysts, ensuring they have the tools, skills, and strategic direction to build, operate, and scale business-critical solutions.Job ResponsibilitiesDrive Business Outcome from Data AnalyticsPartner with CBG leadership to identify opportunities where analytics can create significant business impact.Develop analytics strategy and capability to maximize impact from AI/ML, including Gen AI and Agentic AI.Provide guidance in managing and prioritizing Data Analytics workstreams and backlogs.Drive use of data and AI in sustainable, responsible way.Build & Operate (Build & Run)Accountable for the end-to-end execution and full lifecycle of all data products, from build and deployment to maintain and continuously improve.Partner with technology stakeholders to ensure scalable and resilient data & analytics pipelines.Support AI Industrialization and increase adoption of DBS AI Protocol and data science reusable assets to reduce time to value.Drive reduced effort for end-to-end deployment of data assets by supporting the creation and usage of reusable components (data, compute, models, monitoring) across the AI Lifecycle.Drive best practices and knowledge sharing across analytics use cases, experimentation, and nudges.Talent & Chapter LeadershipShape and implement a strong employee value proposition to attract, retain, and develop Data Analytics Talent, supporting employee value proposition workstreams.Develop skills and deepen expertise of data analytics talent through building expertise, best practices & standards, and providing technical direction.Establish a strong and vibrant community of highly engaged data professionals.Lead, mentor, and develop a diverse chapter of data scientists, data translators, and data/business analysts into a world-class team.Manage performance, career progression, and strategic allocation of chapter members into delivery squads based on skills and prioritized initiatives.Governance, Risk & ComplianceEnsure all AI/GenAI models comply with internal policies, such as AI Governance Standards.Champion data quality and data governance protocols to safeguard sensitive data.Job RequirementsExperience & Domain Knowledge15+ years of experience in data science and analytics, with at least 3+ years in a senior leadership role.Graduate / Post-graduate Degree preferably in a science or finance related discipline.Demonstrated success in taking advanced AI products from ideation to production at an enterprise scale.Strong business experience in financial services, preferably banking, with several years in managing data analytics / AI products delivery.Strong banking domain knowledge, ideally in institutional banking or banking operations.Technical AcumenFamiliar with data analytics tools, techniques, industry trends, and developments.Well-versed with data analytics techniques like predictive, prescriptive, ML, and AI, including Generative/Agentic AI.Deep conceptual and practical understanding of modern AI architectures, agentic workflows, and traditional machine learning algorithms.Familiar with modern data stacks, cloud platforms, and MLOps principles.Leadership & Soft SkillsStrong leadership and senior stakeholder management skills.Ability to navigate complex environments to achieve technical and business outcomes.Passion for problem-solving and a \"can-do\" attitude.Strong interpersonal and relationship-building skills.Exceptional communication and presentation skills, with the ability to demystify complex concepts for non-technical senior executives.Tolerance for ambiguity and a relentless drive to challenge the status quo, pushing toward a data-first culture.Location:DBS Asia CentralJob:AnalyticsSchedule:RegularEmployee Status:Full time