ZipRecruiter

Log In

1

Data Ops Manager Jobs in Ohio (NOW HIRING)

HumanSignal

Delivery Lead

Columbus, OH · On-site

$90K - $130K/yr

... data ops, logistics, or similar) * 1+ year of people management with clear impact on team performance * Metrics-driven with a systems-thinking approach to operations * Experience owning delivery ...

Parker

Customer Intl Data Analyst Sr

Cleveland, OH · On-site

$83K - $105K/yr

Position Summary The Business Intelligence Data Analyst has responsibility for improving data ... Ops reviews and quarterly customer relationship analyses * Assist department management as required ...

Safelite Group

Director, Legal Operations

Columbus, OH · On-site

Collect and report on key financial metrics and KPIs to evaluate legal spend performance and drive continuous improvement Reporting, Data, Knowledge Management * Build and maintain regional Legal Ops ...

New

Black Box

QA Manager - Data Center

Bowling Green, OH · On-site

... quality data analytics for incorporation into metrics to accurately measure and manage quality ... Conduct relevant quality training to QA/QC Coordinators and OPS Field staff by performing ongoing ...

BLACK BOX

QA Manager - Data Center

Bowling Green, OH

... quality data analytics for incorporation into metrics to accurately measure and manage quality ... Conduct relevant quality training to QA/QC Coordinators and OPS Field staff by performing ongoing ...

New

BLACK BOX

QA Manager - Data Center

Bowling Green, OH

... quality data analytics for incorporation into metrics to accurately measure and manage quality ... Conduct relevant quality training to QA/QC Coordinators and OPS Field staff by performing ongoing ...

New

next page

Showing results 1-20

All JobsData Ops JobsData Ops Manager JobsData Ops Manager Jobs in Ohio

Data Ops Manager information

What are some common challenges faced by Data Ops Managers, 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 does a data operations manager do?

A data operations manager oversees the processes and systems that manage an organization’s data, ensuring data quality, security, and accessibility. They coordinate data workflows, implement data governance policies, and often work with tools like data pipelines and databases to support analytics and decision-making.

What are Data Ops Managers?

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 job makes $10,000 a month without a degree?

A Data Ops Manager can potentially earn $10,000 or more per month through experience and expertise in data management, automation, and cloud platforms. High-paying roles in data management often require strong technical skills, certifications, and experience rather than formal degrees. Other jobs like sales, real estate, or entrepreneurship can also reach this income level without a degree, depending on performance and opportunities.

What jobs make $1,000,000 a year?

In the field of Data Operations, senior roles such as Director of Data Operations or Chief Data Officer can reach or exceed $1,000,000 annually, especially in large organizations or with significant bonuses and stock options. These positions typically require extensive experience, advanced skills in data management, and leadership capabilities. Compensation varies widely based on company size, industry, and geographic location.

What jobs pay 500,000 a year in the US?

High-paying roles such as senior executives, specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. In the tech industry, roles like Data Ops Managers with extensive experience, leadership responsibilities, and advanced skills in data management and automation may reach or exceed this level, especially with bonuses and stock options.

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 job categories do people searching Data Ops Manager jobs in Ohio look for? The top searched job categories for Data Ops Manager jobs in Ohio are:
Data Ops Manager jobs near you
Infographic showing various Data Ops Manager job openings in Ohio as of June 2026, with employment types broken down into 24% Full Time, 73% Part Time, 2% Temporary, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution.

Delivery Lead

HumanSignal

Columbus, OH • On-site

$90K - $130K/yr

Full-time

Posted 18 days ago

Job description

About HumanSignal
Real-world data is the competitive edge in AI.
HumanSignal is a human data partner for companies building AI models and products. Our customers ship better AI, faster, because we partner with their researchers from real-world data creation to annotation to delivery.
We design and create datasets from scratch, recruit and manage the domain experts who evaluate model output, and run everything through our own platform, Label Studio, the open-source standard for data labeling and evaluation, used by over 1 million practitioners worldwide.
We specialize in the operationally complex: real-world data collection, multimodal pipelines, and multi-step workflows. Advanced ML and AI teams use our enterprise platform to run their own data factories, and our services team to extend their reach where in-house capacity runs out.
If you want to do work that materially shapes how the next generation of AI products gets built, we'd love to talk.
Level: Manager
Compensation: $90,000 - $130,000
Location: Onsite in Columbus, Ohio
About the Role
HumanSignal specializes in operationally complex, multimodal data collection and annotation - delivering the datasets that frontier AI research requires and remote workforce marketplaces can't. We own projects end-to-end, from scoping and protocol design through final delivery, running on-site and distributed expert workforces across 50+ knowledge domains, 30+ languages, and 75+ countries. Our work spans RLHF, evals, red-teaming, and custom multimodal data creation, all powered by Label Studio Enterprise and built on a foundation of rigorous quality workflows, ethical sourcing, and full data security. This role sits at the operational core of that delivery engine - responsible for ensuring our clients get the highest-quality data on time, every time.
This role is not for everyone. HumanSignal Services operates at the intersection of frontier AI research and large-scale human data delivery - and the work is fast, demanding, and unforgiving of dropped balls. You'll own complex, high-stakes data programs end-to-end, managing expert workforces, navigating shifting customer requirements, and holding quality and delivery timelines simultaneously. There is no playbook handed to you. You will build it, break it, and rebuild it better. If you thrive under pressure, take personal pride in operational excellence, and don't quit when a project gets hard - this is the role for you
What You'll Do
The day-to-day is intense by design. You'll juggle multiple programs at once, each with its own contributors, quality standards, and customer expectations. You'll make hard calls with incomplete information, hold contributors and vendors accountable, and find creative solutions to problems that don't have obvious answers. The expectation is simple: own the outcome, no excuses. High performers here grow faster than anywhere else in the industry. The bar is high - and that's the point.
  • Lead and manage a team of Strategic Project Leads (SPLs) across multiple high-stakes AI data projects simultaneously
  • Own delivery outcomes for your projects: throughput, quality, SLA performance, cost efficiency, and customer satisfaction
  • Drive delivery across custom data pipelines and expert labeling workflows, translating researcher requirements into clear operational plans
  • Collaborate with AI lab researchers and procurement partners to define data strategies, scope programs, and resolve escalations
  • Drive systems-level improvements - standardize playbooks, improve tooling, and build infrastructure that makes the team faster and more reliable at scale
  • Coach and develop SPLs; ensure high-quality AI Trainer experience and strong contributor retention
  • Partner with Product and Engineering to evolve internal tooling, automation, and operational systems
Required Qualifications
  • 5+ years in operationally intensive roles (marketplace, data ops, logistics, or similar)
  • 1+ year of people management with clear impact on team performance
  • Metrics-driven with a systems-thinking approach to operations
  • Experience owning delivery outcomes across multi-stakeholder, high-velocity projects
  • Hands-on operator willing to dive into execution when needed
  • Must be proficient in using LLMs in your every day work, including building scripting logic and working with large datasets with LLM assistance
Preferred Qualifications
  • 1+ year in AI data operations (RLHF, annotation, model evaluation)
  • STEM background or strong technical fluency
  • Python & REACT working knowledge
  • Experience managing distributed contributor workforces at scale
  • Background in management consulting, investment banking, or high-growth startups

HumanSignal is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. HumanSignal does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable federal, state, or local law. We are committed to working with and providing reasonable accommodations to individuals with disabilities.

Apply