Company:
Oliver Wyman
Description:
About Oliver Wyman
At Oliver Wyman, a Marsh (NYSE: MRSH) business, we bring deep industry insight, bold innovation, and a collaborative approach that cuts through complexity to help organizations navigate their most defining transformative moments.

As a business of Marsh, we work alongside the world’s leading experts across risk, reinsurance and capital, people and investments, and management consulting. Together with Marsh Risk, Guy Carpenter, and Mercer, we help organizations build resilience and competitive advantages from every angle. With annual revenue over $24 billion and more than 90,000 colleagues in 130 countries, Marsh helps build the confidence to thrive through the power of perspective.
For more information, visit oliverwyman.com, or follow us on LinkedIn and X.
Job Overview:
You will be responsible for designing, building, and maintaining scalable data pipelines and infrastructure to support our data-driven initiatives. You will collaborate closely with cross-functional teams to ensure the availability, reliability,



and performance of our data systems and solutions. Strong experience with Databricks and solid coding skills in SQL and Python are essential to succeed in this role.
Key Responsibilities:
Collaborates with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization
Develop and maintain automated data pipelines for efficient data collection, transformation, and delivery adhering to business requirements.
Implement systems and processes to monitor and ensure data quality and integrity across production data sources.
Design data integrations and data quality frameworks while applying data governance principles.
Partner with business units and engineering teams to define long-term data platform architecture strategies.
Document technical designs, workflows, and best practices to suppo

📌 Oliver Wyman (Ciudad de México)
🏢 Marsh Mclennan
📍 Ciudad de México