Responsibilities: Program Leadership* 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, including: * Low-Code AI/Workflow Automation platforms: Familiarity with platforms like , or similar platforms (e.g., UiPath, Automation Anywhere, Make) and a grasp of AI/ML concepts in automation.* Demonstrate 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: Proven ability to create insightful and visually appealing dashboards using either Tableau or QlikView (or ideally both).
Portfolio or detailed project descriptions are 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 (core automation, scripting, AI/ML integration)* JavaScript/TypeScript (for tool UIs or web-based automation triggers)* SQL (for querying, reporting, and workflow logic)* Java or shell scripting for backend-heavy automation* 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 (e.g., Camunda, Power Automate, UiPath ?
even if you?re building custom ones)* AI / GenAI stack and Experience * Experience with LLMs and tools such as OpenAI APIs, Hugging Face Transformers, LangChain, LlamaIndex, or other orchestration tools* Familiarity with vector databases (e.g., FAISS, Pinecone, Weaviate)* Working knowledge of prompt engineering, Retrieval-Augmented Generation (RAG), and integrating LLMs into practical workflows* Experience deploying AI prototypes in internal sandbox environments* Experience in working with sandbox/staging environments, especially for MVP/prototyping cycles* Program Management & Soft Skills: Strong understanding of project management principles (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.-en