SA/AVP, Program and Platform Specialist (AI/Automation Focus), Tech COO, Group Technology
Location: Singapore (DBS Asia Hub).
Job: Data Technology.
Schedule: Regular.
Job Type: Full-time.
Job Posting: Sep 2, 2025.
Responsibilities
Define the delivery plan and drive execution per strategy / roadmap (SG and regionally)
Obtain buy-in / approval from senior management and stakeholders for planned execution
Foster collaboration with key stakeholders across units/teams (including auditors) to
Develop and maintain project documentation, including project plans, risk assessments, and status reports
Ensure that implementation actions and challenges are identified and addressed effectively
Responsible for leadership and regulatory updates (e.g. Steering Committee meetings) to provide visibility on project milestones and status to drive key decisions
Ability to link technicalities to strategic intent
Lead strategic programs that integrate platform operating models and journey-focused methodologies, ensuring cohesive, end-to-end delivery across our technology landscape
Effectively manage and influence stakeholders with competing priorities, addressing concerns, while maintaining focus on achieving the desired outcomes
Technical Deliverables, Oversight & Guidance
Actively engage in technical solution discussions, leveraging your understanding of AI/ML, automation platforms, and full-stack development
Manage and provide technical direction to an AI/Automation Engineer, overseeing their work in developing tools (including GenAI components), and prototyping solutions in sandboxes
Identify automation opportunities through workflow analysis, user pain points, and feedback sessions
Redesign and optimize manual or inefficient processes using a mix of AI, automation, and rules-based logic
Develop and deploy automation tools, scripts, and GenAI components to streamline processes or decision-making
Work in a sandbox environment to build and iterate MVPs before transitioning to production
Collaborate with stakeholders to ensure alignment on goals, feasibility, and implementation timelines
Document solutions clearly and guide teams toward adoption or handover
Build APIs and backend services to integrate AI models with user-facing applications and internal platforms
Rapidly prototype AI-powered features and iterate based on feedback from users and stakeholders
Collaborate with cross-functional teams (e.g., data engineering, product, compliance) to operationalize AI use cases
Stay up to date with the latest AI/ML research, tools, and frameworks to continuously improve solution quality and speed of delivery
Requirements
Experience: Approximately 3 years in project management and technical coordination within a technology environment.
Demonstrated ability to guide technical staff and engage in solutioning discussions
Technical Skills & Acumen: Solid understanding of AI/Automation Engineer responsibilities and technical stack
Low-Code AI/Workflow Automation platforms: Familiarity with platforms like Dify.ai, or similar platforms (e.g., UiPath, Automation Anywhere, Make) and a grasp of AI/ML concepts in automation
Proficiency in Python (automation, AI/ML integration) and familiarity with other scripting languages (JavaScript, PowerShell)
Data Querying (SQL, NoSQL, APIs) and Dashboarding concepts (Tableau, QlikView)
Dashboarding experience: Ability to create dashboards using Tableau or QlikView (or both).
Portfolio or detailed project descriptions required
Experience with Python automation libraries (Selenium, Playwright, Airflow), workflow tools (Camunda, Power Automate), and AI/GenAI Stack (LLMs, OpenAI APIs, Hugging Face, LangChain, vector databases, RAG, prompt engineering, sandbox prototyping)
Programming Languages & Frameworks: Python, JavaScript/TypeScript, SQL, Java or shell scripting
Automation & Workflow tools: Python-based automation (Selenium, Playwright, Airflow, Pandas); experience building internal tools, bots, or custom workflow engines; workflow engines or low-code tools (Camunda, Power Automate, UiPath)
AI / GenAI stack and Experience: Experience with LLMs and tools (OpenAI APIs, Hugging Face, LangChain, LlamaIndex); familiarity with vector databases (FAISS, Pinecone, Weaviate); prompt engineering, Retrieval-Augmented Generation (RAG); deploying AI prototypes in internal sandbox environments
Program Management & Soft Skills: Strong understanding of Agile/Scrum; excellent communication, analytical and problem-solving skills; ability to translate technical concepts for non-technical audiences and influence leadership; proficient in project management software
Education: Bachelor’s degree in computer science, Software Engineering, AI/ML, Data Science, or a related highly technical field, or equivalent practical engineering experience
Seniorities & Employment
Seniority level: Not Applicable
Employment type: Full-time
Job function: Project Management and Information Technology
Industries: Banking, Financial Services, and Investment Banking
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