M

Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Operational Excellence & AI Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeManila, Metro Manila, PhilippinesNo salary listed

About the Job

Requirements

  • A bachelor's degree in Data Science, Computer Science, Engineering, Mathematics, Statistics, Actuarial Science, or a related quantitative discipline is required.
  • Significant relevant experience in data engineering, analytics, business intelligence, automation, or a related technical role is required.
  • Advanced proficiency in SQL and a deep understanding of data modeling, data transformation, and scalable analytical architecture are required.
  • Strong experience using Python for analytics, automation, and production-oriented solution development is required.
  • Experience developing dashboards and business-facing analytical solutions using Power BI, Tableau, or similar visualization platforms is required.
  • Experience with C#/.NET application development, including desktop applications, Excel add-ins, or similar user-facing tools, is required.
  • Demonstrated experience applying AI, machine learning, or generative AI solutions in practical business settings is required.
  • Strong strategic thinking and the ability to connect technical solutions to business outcomes are required.
  • Sound judgment and the ability to operate independently in ambiguous, fast-evolving environments are required.
  • The ability to influence stakeholders effectively and build trusted relationships across teams and leadership levels is required.
  • The ability to communicate complex technical concepts and analytical insights clearly, concisely, and actionably is required.
  • High standards for quality, scalability, controls, and sustainability in solution design and delivery are required.
  • The ability to coach others effectively and contribute to team capability, standards, and ways of working is required.

Responsibilities

  • 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 addressing complex business challenges.
  • Lead or 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 translate 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, direct priorities, coordinate delivery, and ensure 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.

Desired Qualifications

  • An advanced degree is preferred.
  • Experience working in insurance, reinsurance, financial services, or other complex, data-rich environments is strongly preferred.
  • The ability to operate in ambiguous environments and build new capabilities, products, or processes from the ground up is preferred.

About the Company

Marsh & McLennan

Brokers insurance and runs risk and HR consulting

Marsh & McLennan Companies, which operates under the Marsh brand, is an insurance broker and consulting group serving businesses, governments and institutions worldwide. Its Marsh Risk unit arranges property, casualty, cyber and employee-benefit coverage, while Guy Carpenter places reinsurance for insurers. Mercer advises employers on pay, benefits, retirement and investments, and Oliver Wyman, Lippincott and NERA handle strategy, brand and economic consulting. Brokers earn commissions and fees from placing coverage, and consultants bill client fees or charge fees based on assets or plan members. The company traces its roots to 1871 and is headquartered in New York City.

Company size
10,001+
Company stage
Not listed
Total funding
Not listed
Headquarters
New York, NY
Founded
1871

Recently Posted Jobs

Explore more opportunities at Marsh & McLennan

See more jobs