Data Operations Support Lead/Manager - CTH
Listed on 2026-05-07
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Data Security
Welcome to Gallagher – a global community of people who bring bold ideas, deep expertise, and a shared commitment to doing what’s right. We help clients navigate complexity with confidence by empowering businesses, communities, and individuals to thrive. At Gallagher, you’ll find more than a job; you’ll find a culture built on trust, driven by collaboration, and sustained by the belief that we’re better together.
Whether you join us in a client-facing role or as part of our brokerage division, our benefits and HR consulting division, or our corporate team, you’ll have the opportunity to grow your career, make an impact, and be part of something bigger. Experience a workplace where you’re encouraged to be yourself, supported to succeed, and inspired to keep learning. That’s what it means to live The Gallagher Way.
Position Title: Data Operations Support Lead/Manager
Department: Global Data Operations
Location: Remote/Hybrid (Chicago)
Reports To: Director, Global Data Operatpions
About Arthur J. Gallagher: Arthur J. Gallagher is one of the world’s largest insurance brokerage and risk management companies, providing tailored insurance solutions and strategic organizational wellbeing initiatives. With over 70,000 employees globally, Gallagher is committed to innovation, client success, and delivering high‑quality solutions across all aspects of the business.
- This is a Temp‑To‑Hire, W‑2 position. We cannot do 1099 or C2C.
- You must meet our U.S. Eligibility requirements for work authorization.
The Data Operations Support Lead / Manager serves as a senior technical and operational leader responsible for ensuring the stability, reliability, and performance of enterprise production data platforms, including insurance and financial data warehouse ecosystems.
As a core member of Global Data Operations, this role acts as the primary escalation point for complex incidents, leads daily operational coordination across cross‑functional teams, and drives platform enhancements and automation to enable proactive monitoring and issue prevention.
This role also provides technical leadership, mentorship, and guidance to support engineers, fostering operational excellence, continuous improvement, and strong data governance across the enterprise.
Key Responsibilities- Own and manage the data operations intake process, including incident intake, communication, prioritization, and platform optimization.
- Serve as a senior contributor in architectural discussions, process improvements, and strategic platform enhancements.
- Drive system reliability, scalability, observability, and operational governance across enterprise data platforms.
- Oversee data integrity, transformations, and governance practices across production environments.
- Lead initiatives to improve data quality, lineage visibility, metadata management, and monitoring capabilities.
- Act as the primary escalation point for complex data pipeline, integration, and platform issues.
- Collaborate closely with Data Engineering, DBAs, BI, Infrastructure, and Security teams to resolve incidents and implement permanent solutions.
- Enforce and continuously improve access controls, permissions, and data security standards.
- Support SOX, GDPR, and internal audit requirements, including evidence preparation, remediation, and control validation.
- Develop and maintain high‑quality documentation, including pipelines, processes, dependencies, and workflow artifacts.
- Produce monthly operational service reports covering SLAs, KPIs, incidents, changes, and overall service health.
- Contribute to enterprise initiatives such as system integrations, data modernization, and platform upgrades.
- Participate in solution design reviews and operational readiness assessments for new data products.
- Promote a culture of engineering excellence, accountability, and continuous improvement.
- 8+ years of experience with a strong focus on data‑centric operations or support.
- Proven experience with ETL/ELT pipelines, data warehouses, data lakes, and complex data transformations.
- Demonstrated experience supporting recurring production data workflows and delivering accurate, timely outputs.
- Pr…
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