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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