Data Operations Support Lead/Manager - CTH

Arthur J. Gallagher & Co. (AJG)

Rolling Meadows (IL)

Hybrid

USD 90,000 - 120,000

Full time

14 days+

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Benefits offered by this job

Medical/dental/vision plans
Life and accident insurance
401(K) and Roth options
Education reimbursement
Paid parental leave
Digital mental health services
Flexible work hours

Job summary

Arthur J. Gallagher & Co. (AJG) is seeking a Data Operations Support Lead/Manager to ensure the stability and performance of enterprise data platforms. This role involves managing the data operations intake process, driving system reliability, and collaborating with cross-functional teams. Candidates should have over 8 years of experience in data-centric operations and demonstrated expertise in ETL/ELT pipelines. The position offers a remote/hybrid work environment and various benefits including medical plans, 401(K), and wellness programs.

Qualifications

  • 8+ years of experience with a strong focus on data-centric operations or support.
  • Proven experience with ETL/ELT pipelines, data warehouses, and complex data transformations.
  • Strong attention to detail with a focus on data quality and accuracy.

Responsibilities

  • Own and manage the data operations intake process.
  • Drive system reliability, scalability, and operational governance.
  • Collaborate with Data Engineering, DBAs, BI, Infrastructure, and Security teams.

Skills

Data-centric operations experience
ETL/ELT pipelines expertise
Data quality and accuracy focus
Analytical and problem-solving skills
Technical leadership experience
Snowflake, dbt, Fivetran proficiency
Azure-based data platforms familiarity

Education

Bachelor’s degree in Computer Science or related field

Tools

Microsoft SQL Server
Azure SQL
Azure Synapse
Astronomer (Airflow)
Automic Automation

Job description

Overview

Position Title: Data Operations Support Lead/Manager
Department: Global Data Operations
Location: Remote/Hybrid (Chicago)
Reports To: Director, Global Data Operations

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.
How you'll make an impact

Position Summary

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.
About You

Skills and Experience

  • 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.
  • Proven ability to manage multiple priorities in a time‑sensitive and cyclical operational environment.
  • Strong attention to detail with a deep focus on data quality, accuracy, and consistency.
  • Excellent analytical, organizational, and problem‑solving skills with a proactive, solution‑oriented mindset.
  • Ability to work independently while collaborating effectively across teams, with strong ownership and escalation judgement.
  • Exceptional written and verbal communication skills, including the ability to translate technical issues for non‑technical stakeholders.
  • Experience supervising, mentoring, or providing technical leadership to junior team members.
  • Experience partnering with business stakeholders on data submissions, issue resolution, and quality remediation.
  • Experience with Snowflake, dbt, Fivetran, Astronomer (Airflow), Automic Automation, and Microsoft SQL Server.
  • Strong familiarity with Azure‑based data platforms, including Azure Synapse, Azure SQL, and Azure DevOps.

Education

  • Bachelor’s degree in Computer Science, Software Engineering, Information Systems, or a related field, or equivalent practical experience.

#LI-NJ1

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Compensation and benefits

We offer a competitive and comprehensive compensation package. The base salary range represents the anticipated low end and high end of the range for this position. The actual compensation will be influenced by a wide range of factors including, but not limited to previous experience, education, pay market/geography, complexity or scope, specialized skill set, lines of business/practice area, supply/demand, and scheduled hours. On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits.

  • Medical/dental/vision plans, which start from day one!
  • Life and accident insurance
  • 401(K) and Roth options
  • Tax-advantaged accounts (HSA, FSA)
  • Educational expense reimbursement
  • Paid parental leave

Other benefits include:

  • Digital mental health services (Talkspace)
  • Flexible work hours (availability varies by office and job function)
  • Training programs
  • Gallagher Thrive program – elevating your health through challenges, workshops and digital fitness programs for your overall wellbeing
  • Charitable matching gift program
  • And more...

The benefits summary above applies to fulltime positions. If you are not applying for a fulltime position, details about benefits will be provided during the selection process.

Inclusion and Diversity

We value inclusion and diversity (I&D) as a core part of our business. Gallagher believes in equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on protected characteristics, and will provide reasonable accommodations as required by law.

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