SVP, Program Manager (Data Analytic), Institutional Banking Group Technology, Technology & Operations

  • Competitive
  • Singapore
  • Permanent, Full time
  • DBS Bank Limited
  • 25 May 19

SVP, Program Manager (Data Analytic), Institutional Banking Group Technology, Technology & Operations

Business Function

Group Technology and Operations (T&O) enables and empowers the bank with an efficient, nimble and resilient infrastructure through a strategic focus on productivity, quality & control, technology, people capability and innovation. In Group T&O, we manage the majority of the Bank's operational processes and inspire to delight our business partners through our multiple banking delivery channels.


  • Deliver data initiative project in DBS across all countries
  • Strategic Project Governance
    • Drive enterprise strategy on testing and production deployment of machine learning and AI products
    • Work closely with and manage project managers from each domain, team members, tech, and stakeholders to monitoring, develop and execute project plans and associated project content.
    • Track project milestones and deliverables. Implement and track key milestones & relevant KPIs to measure success of projects.
    • Keep management and project sponsors abreast of project developments - set up periodic reviews and prepare relevant documents to communicate progress.
  • Drive project and program delivery
    • Responsible for ensuring project delivery on time on schedule and with quality
    • Drive the discussion between data science and IT on the architecture and solution design to ensure production and deployment is fully considered
    • Drive the testing and deployment of the machine learning products into production
    • Lead the requirement gathering and release road map for analytic platform features
    • Develop enterprise standards and practice on testing and production deployment of machine learning and AI products
    • Effectively communicate with team members and stakeholders in a timely and clear fashion.
    • Identify and resolve issues and conflicts within the program, projects and project management community and with other stakeholders if necessary.
    • Resolve issues at the project or line level and escalate issues which cannot be resolved in a timely and accurate manner.
  • Manage key stakeholders and business and technology leads
    • Manage and communicate effectively with domain leads at senior level and working level teams.
    • Responsible for ensuring project steering committee meetings, cross function meetings and other key project meetings are effective and achieve objectives on a consistent manner.
  • Change management
    • Drive the adoption of software development practice in data science teams, such as agile development, software development life cycle (SDLC), continues improvement and continues deployment (CI/CD) and testing strategy.
    • Able to work with users to drive changes within the organization for projects implementation
    • Develop best practices and tools for project execution and management. Ensure utilization of standards and practices across all projects.


  • At least 15 years of solid experience working in a banking / financial institution in project management office and financial management.
  • Excellent presentation, analytical and articulation skills
  • Solid track record of deploying machine learning solution into production environment and integrate into operation
  • Expert in identifying and solving issues when putting model into production - load balancing, distribution, through-put, latency, availability, stability, refactoring, repackaging, versioning, scoring, real time / online scoring, performance monitoring and management,
  • Expert on the open source stack of bid data and machine learning solutions such as Hadoop, Spark, YARN, Mesos, Hive, Impala, Spark Streaming, Kafka, API, Anaconda / R studio server, Kubernetes,
  • Familiar with development, deployment, production and operation life cycle of the machine learning product and software best practices such as SDLC, CICD, Test-Driven Development (TDD)
  • Excellent problem-solving skills and strategic thinker
  • Proficiency in Python, R, Spark, Java and Scala
  • Good interpersonal skill and able to influence the decision making of data science and IT team
  • Solid written and communication skills
  • Degree in Computing / Computer Science / Engineering preferred.

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We offer a competitive salary and benefits package and the professional advantages of a dynamic environment that supports your development and recognises your achievements.