We are seeking a talented individual to join our Cyber Data Engineering & Data Operations team at Marsh. This role will be based in Dublin, Ireland. This is a hybrid role that has a requirement of working at least three days a week in the office.
This role oversees the strategic development and execution of advanced analytics and machine learning initiatives to drive business growth and operational efficiency. The Cyber Data Engineering & Data Operations Leader collaborates closely with cross-functional leaders to identify high-impact opportunities, transform data into actionable insights, and develop predictive models that inform decision-making.
We will count on you to:
Lead the design, development, and deployment of data solutions for the global Cyber practice to support new product development, research and development, insights / thought leadership, and reporting.
Manage complex projects with direct reporting to senior management, ensuring alignment with business objectives and delivering measurable impact on product development, operational efficiency, and data monetization.
Act as lead and mentor for a global team of direct and indirect reports performing data engineering and related data services, including establishing best practices, code reviews, and quality assurance standards.
Collaborate with cross-functional teams across Marsh / MMC—including data scientists, product managers, and stakeholders—to optimize data collection, analysis, and monetization strategies.
Define and implement reference architecture and data flow processes, ensuring efficient data management across organizational systems and transitions.
Establish and enforce data governance, metadata management, and data quality standards to ensure data integrity, lineage, and compliance.
What you need to have:
Proven experience in leading data engineering and data science teams, with a strong understanding of advanced analytics and machine learning.
Expertise in designing and implementing data solutions, including data pipelines and machine learning models.
Excellent communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.
Strong analytical and problem-solving skills, with a focus on delivering actionable insights and driving business performance.
What makes you stand out:
Experience with data governance, data quality assurance, and ethical AI practices.
A track record of driving innovation by evaluating, developing, and integrating new datasets to develop new revenue-generating products.
Knowledge of emerging data technologies and trends, with the ability to recommend tools and practices to enhance organizational data capabilities.
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.
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What We Do
Marsh McLennan (NYSE: MMC) brings together nearly 78,000 experts in risk, strategy, and people across Marsh, Guy Carpenter, Mercer, and Oliver Wyman, serving clients in over 130 countries.
Marsh enables enterprise worldwide by helping clients manage risks, transforming uncertainty into opportunity.
Guy Carpenter helps clients grow profitably with reinsurance broking expertise, advisory services, and advanced analytics.
Mercer helps organizations advance the health, wealth, and careers of their most vital asset — their people.
Oliver Wyman’s expertise in strategy, operations, risk, and organization transformation changes what is possible for our clients, their industries, and society.
Together, we combine a unique range of capabilities to help our clients solve problems, seize opportunities, and build lasting success in increasingly complex operating environments.







