Analyst, Transformation Automation

Are you ready to shape a better tomorrow?

AIA Digital+ is a Technology, Digital and Analytics innovation hub dedicated to powering AIA to be more efficient, connected and innovative as it fulfils its Purpose to help millions of people across Asia-Pacific live Healthier, Longer, Better Lives.

If you are hungry and driven to play an active role in shaping a better tomorrow, we want to hear from you. Because the work we do at AIA Digital+ makes a difference in the lives of millions of people, every day. We will equip you with the critical skills, tools and technology, and endless opportunities to learn, contribute and thrive in a dynamic and exciting environment.

If you want to shape a brighter future at AIA Digital+, please read on.

About the Role

Support data‑driven, AI‑powered transformation under guidance of senior team member by translating business opportunities and operation support into measurable AI use cases, validating feasibility and value, and assisting in end‑to‑end delivery—from data readiness and model evaluation through proof-of-concept (POC), scale‑up, and adoption. This role contributes to the organization’s digital transformation by exploring emerging AI capabilities, developing prototypes and supporting implementation, while maintaining AI-driven workflows to enhance automation and operational efficiency across group applications.

• Assist in the structured assessments of business processes to identify AI automation, augmentation, and analytics opportunities (e.g., classification, forecasting, NLP, computer vision, generative AI).
• Identify gaps and mitigation plans (data enrichment, labeling strategies, synthetic data considerations).
• Contribute to defining and monitoring performance, robustness, fairness, and safety metrics (accuracy, latency, drift, bias, hallucination rates).
• Coordinate UAT and pilot execution; collect qualitative/quantitative feedback and iterate with the team.
• Support deployment readiness: monitoring plans, incident processes, rollback criteria, and performance dashboards.
• Work with senior team members to ensure solutions comply with internal policies and jurisdictional regulations (privacy, DLP).
• Maintain use‑case backlogs and documentation repositories.
• Produce simple insights, summaries, and visualizations to support AI experimentation and decision‑making.
• Contribute to prompt engineering, test cases, or evaluation templates where applicable.
• Support user acceptance testing (UAT), pilot tracking, and feedback collection.
• Help document model performance results against defined metrics (e.g., accuracy, response quality, turnaround time).
• Assist in preparing required documentation such as use‑case briefs, data summaries, and basic model documentation.
• Maintain versioned artifacts, decision logs, and audit‑ready documentation.
• Stay current on foundational AI concepts, tools, and platforms used within the organization.
• Participate in internal training, communities of practice, and continuous improvement initiatives.
• Demonstrate strong attention to detail, accountability for assigned tasks, and willingness to learn.

Build a career with us as we help our customers and the community live healthier, longer, better lives.

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