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Data Operations Manager Jobs in Ohio (NOW HIRING)

KPMG US

Manager, Data Operations

Cleveland, OH · On-site

They are seeking a Manager, Data Operations to oversee Azure Data Lake pipelines and ensure operational stability, while managing a team of MSP resources. Responsibilities : • Lead and manage ...

KPMG US

Manager, Data Operations

Columbus, OH · On-site

They are seeking a Manager, Data Operations to oversee Azure Data Lake pipelines, ensuring platform stability and reliability while managing a team of Managed Service Providers. This role involves ...

KPMG US

Manager, Data Operations

Cincinnati, OH · On-site

They are seeking a Manager, Data Operations to lead the management of Azure Data Lake pipelines and ensure platform stability and reliability through effective monitoring and incident response.

EOS

Data Center Operations Manager

Bowling Green, OH · On-site

The Data Center Operations Manager is responsible for overseeing a designated Data Center Pod, which includes up to three hyperscale data center campuses, supporting as many as 15 production ...

Aliniti

Operations Manager

Cincinnati, OH

Operations Manager Nolte Precise Manufacturing | Cincinnati, Ohio Nolte Precise Manufacturing is ... Use operational data to identify issues and carry solutions through implementation. What We're ...

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Data Operations Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do data operations manager jobs pay per year?

As of Sep 1, 2026, the average yearly pay for data operations manager in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

What is a data operations manager?

A Data Operations Manager oversees the processes and systems that manage an organization's data to ensure accuracy, efficiency, and accessibility. They collaborate with data engineers, analysts, and IT teams to improve data workflows, maintain data integrity, and optimize data governance. Their responsibilities often include automating data processes, troubleshooting issues, and ensuring compliance with data policies. This role is critical for organizations that rely on data-driven decision-making and operational efficiency.

What are the typical daily responsibilities of a data operations manager?

A Data Operations Manager’s daily responsibilities often include overseeing the flow of data across systems, ensuring high data quality and security, and coordinating the activities of data analysts and engineers. They are responsible for developing and optimizing data processes, monitoring system performance, troubleshooting operational issues, and implementing data governance policies. Collaboration is key, as they frequently work with IT teams, business analysts, and stakeholders to ensure data needs and compliance standards are met. This role requires balancing strategic planning with hands-on management of day-to-day data operations.

What are the key skills and qualifications needed to thrive in the data operations manager position, and why are they important?

To thrive as a Data Operations Manager, you need expertise in data management, analytics, workflow optimization, and a strong background in data governance, commonly backed by a degree in computer science or a related field. Proficiency with data warehousing solutions, ETL tools, SQL, and platforms like Tableau or Power BI, along with familiarity with industry certifications such as CDMP or PMP, is highly valuable. Strong leadership, problem-solving, and organizational skills enable effective collaboration with cross-functional teams and the ability to manage complex data projects. These skills and attributes are crucial for ensuring data quality, streamlining operations, and supporting business decision-making through accurate and timely data management.

Is a data operations manager a high paying job?

A data operations manager typically earns a competitive salary that varies by industry, location, and experience level. The role often requires strong analytical skills, knowledge of data management tools, and leadership abilities, which can contribute to higher compensation compared to entry-level positions.

What are the most commonly searched types of Data Operations jobs in Ohio?

The most popular types of Data Operations jobs in Ohio are:

What are popular job titles related to Data Operations Manager jobs in Ohio?

For Data Operations Manager jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Data Operations Manager jobs in Ohio look for?

The top searched job categories for Data Operations Manager jobs in Ohio are:

What cities in Ohio are hiring for Data Operations Manager jobs?

Cities in Ohio with the most Data Operations Manager job openings:

Data Operations Manager jobs near you
Infographic showing various Data Operations Manager job openings in Ohio as of August 2026, with employment types broken down into 82% Full Time, 12% Part Time, 2% Temporary, 3% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

Manager, Data Operations

KPMG US

Cleveland, OH • On-site

Full-time

Re-posted 7 days ago

Job description

Job Summary:
KPMG is a leading provider of audit, tax, and advisory services. They are seeking a Manager, Data Operations to oversee Azure Data Lake pipelines and ensure operational stability, while managing a team of MSP resources.
Responsibilities:
• Lead and manage Managed Service Provider (MSP) resources; responsible for day-to-day monitoring of Azure Data Lake pipelines and operational support activities
• Ensure platform stability and reliability through proactive monitoring, effective incident response, and timely resolution of technical issues
• Own service level agreement (SLA) performance by tracking operational metrics, addressing breaches, and driving corrective actions as required
• Oversee end-to-end data operations monitoring and communicate platform performance, risks, and issues to stakeholders
• Maintain and govern operational documentation, including platform design artifacts, configuration standards, and troubleshooting procedures
• Serve as the primary escalation point for operational issues, collaborating with cross functional teams while providing coaching and guidance to technical staff
• Act with integrity, professionalism, and personal responsibility to uphold KPMG's respectful and courteous work environment
Qualifications:
Required:
• Minimum five years of recent experience managing data operations, including data pipeline monitoring and incident response, with strong knowledge of Azure Data Factory, Azure Databricks, Azure Data Lake Storage Gen2, and Generative and Agentic AI concepts
• Experience leading and overseeing Managed Service Provider (MSP) teams across multiple time zones
• Strong ability to develop and maintain clear, comprehensive technical and operational documentation
• Demonstrated success meeting SLAs and performance metrics, with a continuous improvement mindset and ability to translate platform insights into actionable improvements
• Strong communication and collaboration skills, with experience supporting strategic planning and cross functional stakeholders
• Applicants must be authorized to work in the U.S. without the need for employment-based visa sponsorship now or in the future; KPMG LLP will not sponsor applicants for U.S. work visa status for this opportunity (no sponsorship is available for H-1B, L-1, TN, O-1, E-3, H-1B1, F-1, J-1, OPT, CPT or any other employment-based visa)
Preferred:
• Bachelor's degree from an accredited college or university is preferred
Company:
KPMG is one of the world’s leading professional services firms and the fastest growing Big Four accounting firm in the United States. Founded in 2010, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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