Hybrid AI Data Engineer for Operational Excellence

Guy Carpenter; Philippines; Hybrid; PHP 900,000 - 1,600,000; Full time

Job summary

Guy Carpenter in Manila seeks an Operational Excellence & AI Data Engineer to lead analytics, automation, and AI-enabled solutions that boost operational efficiency across Asia Pacific. You will shape design standards and deliver scalable tools from concept to deployment with a high degree of autonomy.

Collaborate with business leaders and cross-functional partners to translate ambiguous challenges into data-driven outcomes, build dashboards and data pipelines, and guide end-to-end delivery

Qualifications

• Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Actuarial Science, or related quantitative field.
• Advanced degree preferred.
• Significant experience in data engineering, analytics, automation, or related technical role.

Responsibilities

• Lead analytics, automation, and AI-enabled solutions to improve operational efficiency across Asia Pacific.
• Develop scalable models, dashboards, workflows, and applications addressing complex business challenges.
• Oversee end-to-end delivery from data sourcing to deployment and adoption.
• Advise stakeholders and translate analytical findings into actionable insights.
• Identify opportunities to reduce manual effort and improve decision-making through data and AI.

Skills

SQL

Python

Data modeling

Power BI

Tableau

C#/.NET

AI/ML

Stakeholder management

Ambiguity handling

Education

Bachelor’s degree in a quantitative discipline

Advanced degree preferred

Tools

Excel

Power BI

Tableau

Desktop applications

Job description

Guy Carpenter in Manila seeks an Operational Excellence & AI Data Engineer to lead analytics, automation, and AI-enabled solutions that boost operational efficiency across Asia Pacific. You will shape design standards and deliver scalable tools from concept to deployment with a high degree of autonomy.

Collaborate with business leaders and cross-functional partners to translate ambiguous challenges into data-driven outcomes, build dashboards and data pipelines, and guide end-to-end delivery