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Data Ops Manager Jobs in Ohio (NOW HIRING)

Measures performance, provides feedback, and holds Ops Managers accountable for their performance ... digging into data and finding solutions for a variety of operational problems - Excellent ...

Measures performance, provides feedback, and holds Ops Managers accountable for their performance ... digging into data and finding solutions for a variety of operational problems - Excellent ...

Measures performance, provides feedback, and holds Ops Managers accountable for their performance ... digging into data and finding solutions for a variety of operational problems - Excellent ...

Measures performance, provides feedback, and holds Ops Managers accountable for their performance ... digging into data and finding solutions for a variety of operational problems - Excellent ...

Measures performance, provides feedback, and holds Ops Managers accountable for their performance ... digging into data and finding solutions for a variety of operational problems - Excellent ...

Job#: 3042906 RT Ops App Support Spec Location: New Albany, Ohio (Onsite) Role Overview The Real ... Energy Management Systems (EMS), and Supervisory Control & Data Acquisition (SCADA) systems ...

Sit with the ops team, walk the warehouse, and turn what you observe into a prioritized backlog of ... for data to settle debates. * Strong collaboration and communication skills, with the ability to ...

Sit with the ops team, walk the warehouse, and turn what you observe into a prioritized backlog of ... for data to settle debates. * Strong collaboration and communication skills, with the ability to ...

Showing results 41-60

Data Ops Manager information

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 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 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 Ohio?

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

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

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

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

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

Infographic showing various Data Ops Manager job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 10% Part Time, and 4% Contract. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution.

New Datacenter Technician Location - Albany, OH (Onsite)

Quantum World Technologies Inc.

Albany, OH • On-site

Other

Posted 2 days ago

New


Job description

Role- Datacenter Technician
Location - Albany, OH (Onsite)
About the Role

We are hiring Datacenter Field Operations Technicians to support a global hyperscaler at a major US data-center campus in New Albany, Ohio. This is a hands-on troubleshooting and break-fix role - diagnosing and repairing physical-layer network issues, executing preventive and corrective maintenance, and partnering closely with provisioning crews to keep AI-infrastructure builds and operations on track. You will be part of a 24 7 on-site team working shoulder-to-shoulder with engineering, facility, and supply-chain partners.

Experience

2 5 years of experience in data center cabling, network hardware installation, or telecommunications

Hands-on experience with fiber optic installation and testing in enterprise/hyperscale environments

Experience with large-scale rack deployment projects (50+ racks)

Familiarity with data center environments (hot/cold aisle, raised floor, overhead cable tray)

Experience working with liquid-cooled rack systems (AALC) preferred

Experience with barcode scanning and asset management workflows preferred

Preferred Qualifications

BICSI certification (Installer, Technician) or equivalent

OSHA 10/30 certification

Experience in hyperscale data-center environments - multi-tenant or campus-scale

Familiarity with DCIM and ticketing tools used for asset, fault, and maintenance tracking

Background in either telecom carrier ops or large enterprise network repair