Digital Business Analyst (AI Focus)

Role Overview We are seeking a forward-thinking and data-driven Digital Business Analyst to drive our organization’s digital transformation journey. In this role, you will bridge the gap between complex business challenges and cutting-edge technological solutions. You will be responsible for identifying opportunities to integrate Artificial Intelligence (AI), automate legacy workflows, and design digital strategies that elevate operational efficiency and customer experience. As a catalyst for change, you will collaborate with cross-functional teams, GovTech partners, and engineering squads to translate evolving business needs into scalable, future-proof digital solutions. Key Responsibilities Drive Digital Transformation: Evaluate existing business processes, identify bottlenecks, and recommend modern, cloud-based alternatives or integrations with native tech stacks to accelerate organizational agility. AI & Automation Integration: Identify high-impact opportunities for leveraging AI, machine learning, and intelligent automation to optimize data-driven decision-making and automate routine operations. Requirements Architecture: Collaborate with stakeholders to extract, analyze, and document robust business requirements, user stories, functional/technical specifications, and acceptance criteria. Methodology & Delivery: Support diverse development environments—whether outsourced, co-sourced, or in-house—ensuring projects successfully adhere to Agile methodologies. Change Management & Impact Analysis: Conduct comprehensive impact analyses on requested changes, ensuring seamless product evolution while supporting leadership in mapping out long-term digital strategies. Requirements & Qualifications Education: Diploma or Degree in Computer Science, Infocomm Technology, Information Systems, Engineering, or a related technical discipline. Experience: Minimum of 5 years of relevant experience in IT business analysis, system design, and testing. Agile Proficiency: Proven participation in at least two full software or product development lifecycles utilizing Agile methodology. Tech-Savviness: Solid understanding of modern digital ecosystems, including cloud-based architectures, enterprise workflows, data analytics, and foundational AI frameworks. Core Skills: Exceptional analytical thinking, strong stakeholder management, and the ability to articulate complex technical concepts clearly to non-technical business partners. What We Offer Opportunity to spearhead high-visibility modernization and AI initiatives. A collaborative, agile work environment focused on continuous learning. Competitive compensation and professional development pathing.