Operational Excellence & AI Data Engineer

Role Overview

Lead/support the development and execution of analytics, automation, and AI-enabled solutions that improve operational efficiency and support business priorities across Asia Pacific. Serve as a senior individual contributor within a newly formed capability, operating with a high degree of autonomy to shape solution design, establish standards, and deliver scalable tools from concept through implementation.

What You Will Do

Develop and execute strategies for implementing analytics-driven tools, automations, and data solutions that improve operational effectiveness and align with broader business goals. Apply advanced expertise in data engineering, analytics, and solution design to build scalable models, dashboards, workflows, and applications that address complex business challenges.

Why It Might Be a Fit

Identify and prioritize opportunities to reduce manual effort, improve process quality, and enhance decision-making through data, automation, and AI-enabled capabilities. Establish development standards, documentation practices, and scalable ways of working for a growing operational excellence and data solutions capability.

Requirements

• Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Actuarial Science, or a related quantitative discipline
• Significant relevant experience in data engineering, analytics, business intelligence, automation, or a related technical role
• Advanced proficiency in SQL and deep understanding of data modeling, data transformation, and scalable analytical architecture
• Strong experience using Python for analytics, automation, and production-oriented solution development
• Prior experience developing dashboards and business-facing analytical solutions using Power BI, Tableau, or similar visualization platforms
• Experience with C#/.NET application development, including desktop applications, Excel add-ins, or similar user-facing tools
• Demonstrated experience applying AI, machine learning, or generative AI solutions in practical business settings
• Experience working in insurance, reinsurance, financial services, or other complex, data-rich environments is strongly preferred

Benefits

• Professional development opportunities
• Interesting work
• Supportive leaders
• Vibrant and inclusive culture
• Range of career opportunities
• Benefits and rewards to enhance your well-being