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Data Ops Manager Jobs in Illinois (NOW HIRING)

Harris Associates

Data Analyst, Data Ops

Chicago, IL · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics ... Demonstrated proficiency with Agile methodology and project management practices * Experience with ...

Harris | Oakmark

Data Analyst, Data Ops

Chicago, IL · On-site

... issue management processes • Ensure data processes align with operational risk, audit, and ... Ops initiatives • Foster strong cross-functional relationships and promote a culture of ...

UNAVAILABLE

Associate Director, Data Operations

Chicago, IL · On-site

$112 - $161/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Managing efficient execution of projects, implementing best practices gained from other Data Ops projects * Building a collaborative team environment, including participation in department-wide ...

New

Allied

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Working knowledge of data management, data warehousing, and coding languages * Basic experience in SQL and Microsoft Power BI, along with strong computer skills, including proficiency in the ...

Allied Benefit Systems

Data Analyst - Data Ops

Chicago, IL · Remote

  • Medical

  • Dental

  • Vision

  • Life

  • PTO

Working knowledge of data management, data warehousing, and coding languages * Basic experience inSQL and Microsoft Power BI, along with strong computer skills, includingproficiencyin the Microsoft ...

Publicis Groupe Holdings B.V

Manager, Data Operations

Chicago, IL · On-site

$88K - $127K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Leading a team of Data Ops Analysts and Senior Analysts through their day to day responsibilities ... Maintaining ongoing management and stewardship of data governance, processing, and reporting

FCB Banks

Customer Service Representative - Data Ops

Swansea, IL · On-site

$15.50 - $21.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Swansea Data Operations; 2610 N. Illinois St., Swansea, IL 62226 Reports To: Assistant Vice ... FCB Banks has been family owned and managed for more than three generations. Our original banks ...

FCB Banks

Customer Service Representative - Data Ops

Swansea, IL · On-site

$15.50 - $21.25/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Swansea Data Operations; 2610 N. Illinois St., Swansea, IL 62226 Reports To: Assistant Vice ... FCB Banks has been family owned and managed for more than three generations. Our original banks ...

Geico

Principal Marketing Data Ops Engineer II

Chicago, IL · On-site

$115K - $260K/yr

You'll work directly with CRM/marketing automation engineering and campaign operations teams to make audience and event data available, reliable, and easy to use. What you'll build * Instrumentation ...

Insomnia Cookies

Store Manager in Training

Chicago, IL · On-site

$18.50 - $21/hr

  • PTO

Perform as Manager-on-Duty during scheduled shifts when Store Ops Manager (GM) is not present ... If you would like more information about how your data is processed, please contact us. apply for ...

AbbVie

Associate Scientist, Data II

North Chicago, IL

$56K - $57K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

... data management, data cataloging, system integration, data streaming, data visualization, data analysis, and data ops. * Learn and understand pharmaceutical R&D/Life Science centric datasets.

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All JobsData Ops JobsData Ops Manager JobsData Ops Manager Jobs in Illinois

Data Ops Manager information

What is a Data Ops manager?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

What are some common challenges faced by a Data Ops manager, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

What are the key skills and qualifications needed to thrive as a Data Ops manager, and why are they important?

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What are the most commonly searched types of Data Ops jobs in Illinois?

The most popular types of Data Ops jobs in Illinois are:

What are popular job titles related to Data Ops Manager jobs in Illinois?

For Data Ops Manager jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Data Ops Manager jobs in Illinois look for?

The top searched job categories for Data Ops Manager jobs in Illinois are:

What cities in Illinois are hiring for Data Ops Manager jobs?

Cities in Illinois with the most Data Ops Manager job openings:

Data Ops Manager jobs near you
Infographic showing various Data Ops Manager job openings in Illinois as of August 2026, with employment types broken down into 90% Full Time, 9% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution.

Data Analyst, Data Ops

Harris Associates

Chicago, IL • On-site

Full-time

Re-posted 8 days ago

Job description

The Data Ops team is responsible for delivering scalable data, reporting and operational analytics solutions that support decision-making across the firm. The team partners closely with stakeholders to enable trusted, well governed data that improves transparency, efficiency, and outcomes.

The Data Analyst, Data Ops is responsible for ensuring the accurate, timely and reliable delivery of data and analytics solutions to support process efficiency and data-centric decision making. This role partners cross functionally to design, build and enhance data, reporting and workflow automation solutions. The Data Analyst supports enterprise analytics, BI, and self-service initiatives by ensuring data is consistently modeled, documented, governed and aligned with operational risk, audit, and regulatory expectations. Reporting to the Senior Director of Business Process and Data Ops, the ideal candidate combines strong analytical and problem-solving skills with an operational mindset, brings a solid understanding of investment management data domains and thrives in a collaborative, agile environment.

Responsibilities:

  • Partner with data consumers to understand data needs and ensure accuracy, reliability, and scalability of data and reporting outputs 
  • Design, develop, and maintain sophisticated data, reporting, and workflow automation solutions
  • Execute high-impact, cross-functional data initiatives from requirements through delivery
  • Gain deep expertise in firm-wide business processes and translate operational needs into scalable solutions
  • Lead BI, reporting, and self-service analytics initiatives by ensuring consistent, well-modeled, and well-documented dataservice analytics initiatives by ensuring consistent, wellmodeled, and welldocumented data
  • Champion enterprise data governance by upholding and evolving data standards, definitions, and stewardship practices
  • Contribute to the design and documentation of standard operating procedures, data controls, and issue management processes
  • Ensure data processes align with operational risk, audit, and regulatory expectations
  • Participate in firm-wide initiatives such as system implementations and data integrations
  • Drive agile planning, backlog refinement, and prioritization of Data Ops initiatives
  • Foster strong cross-functional relationships and promote a culture of collaboration, accountability and continuous improvement 

Qualifications:

  • Bachelor's degree in Data Analytics, Engineering, Computer Science, Business, or a related field
  • 5+ years of experience in investment management, financial services, or a data-intensive operations environment
  • Experience with cloud platforms (Snowflake, Azure), data quality tools, data catalogs, and BI platforms (PowerBI, Tableau)
  • Advanced proficiency with SQL and Python
  • Experience working with large datasets and using analytical tools to summarize, interpret, and deliver business value
  • Demonstrated ability to analyze data issues, identify root causes, and drive crossfunctional resolution
  • Exceptional attention to detail, initiative, and adaptability, with a proactive approach to identifying data anomalies, process gaps, and improvement opportunities
  • Strong communication and presentation skills, with the ability to explain complex data concepts to non-technical stakeholders and present findings and recommendations to senior leadership
  • Demonstrated proficiency with Agile methodology and project management practices
  • Experience with data engineering, pipeline development, JIRA, SharePoint, or workflow automation tools is a plus

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