Operational Excellence & AI Data Engineer

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 is the world's premier reinsurance intermediary and strategic advisor to leading insurance and reinsurance organizations, delivering integrated solutions through its industry-leading analytics and advisory services, highly specialized product knowledge and trading relationships with reinsurance markets around the world.

Guy Carpenter is a brand of Marsh Philippines. Guy Carpenter is actively seeking qualified candidates for this role in Manila, through a new Guy Carpenter business division to be established within Marsh Philippines.

Operational Excellence & AI Data Engineer

Role Summary

• 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.
• Partner closely with business leaders and cross-functional stakeholders to translate ambiguous challenges into actionable, data-driven outcomes.

We will count on you to

• 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.
• Lead/support end-to-end delivery of analytical and operational improvement solutions, from data sourcing and transformation through modeling, visualization, deployment, and adoption.
• Advise stakeholders on complex or unclear business issues and translates analytical findings into practical recommendations and actionable insights.
• Identify and prioritize opportunities to reduce manual effort, improve process quality, and enhance decision-making through data, automation, and AI-enabled capabilities.
• Guide the design and implementation of automation tools, including scripted pipelines, Excel add-ins, desktop applications, and user-facing solutions that improve productivity and control.
• Apply AI, machine learning, and generative AI capabilities where appropriate to create measurable value for internal and external stakeholders.
• Establish development standards, documentation practices, and scalable ways of working for a growing operational excellence and data solutions capability.
• Manage mid- to large-scale projects and workstreams, directing priorities, coordinating delivery, and ensuring solutions are sustainable, maintainable, and aligned to stakeholder needs.
• Coach and support junior team members by sharing technical guidance, raising delivery standards, and promoting strong analytical and engineering practices.

What you need to have?

• Bachelor’s degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Actuarial Science, or a related quantitative discipline; advanced degree preferred.
• 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.
• Ability to operate in ambiguous environments and building new capabilities, products, or processes from the ground up is preferred.
• Strong strategic thinking and the ability to connect technical solutions to business outcomes.
• Sound judgment and the ability to operate independently in ambiguous, fast-evolving environments.
• Ability to influence stakeholders effectively and build trusted relationships across teams and leadership levels.
• Ability to communicate complex technical concepts and analytical insights in a clear, concise, and actionable manner.
• High standards for quality, scalability, controls, and sustainability in solution design and delivery.
• Ability to coach others effectively and contribute to the development of team capability, standards, and ways of working.

Why join our team

• We help you be your best through professional development opportunities, interesting work and supportive leaders.
• We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.
• Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

Marsh (NYSE: MRSH) is a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information, visit marsh.com, or follow us on LinkedIn and X.

Marsh is committed to creating a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age, background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, or any other characteristic protected by applicable law.

Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

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