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Data Ops Manager Jobs (NOW HIRING)

Sieve

Data Operations Lead

San Francisco, CA · On-site

Responsibilities : • Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows • Drive platform growth: run acquisition campaigns ...

SAIC

Data Ops Engineer VFDE

San Diego, CA · On-site

$200K - $240K/yr

Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.

Ross Stores

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

... ops and others to build insightful, scalable, and robust data pipelines that feed our various ... Design, build and manage data objects across the data analytics platform * Develop and deploy ...

SAIC

Data Ops Engineer VFDE

San Diego, CA · On-site

$200K - $240K/yr

Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.

SAIC

Data Ops Engineer VFDE

San Diego, CA · On-site +1

$200K - $240K/yr

Support the incident management process to ensure that incidents are documented and resolved quickly. Perform root cause analysis to understand and * prevent repeated occurrences of data outages.

Ross Stores, Inc

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

... ops and others to build insightful, scalable, and robust data pipelines that feed our various ... Design, build and manage data objects across the data analytics platform * Develop and deploy ...

Hp

Revenue Ops Manager

Palo Alto, CA · Remote

$150K - $200K/yr

Revenue Ops Manager Description - Job Summary This role is responsible for overseeing the ... Analysis Data Management Data Modeling Data Quality Data Science Data Visualization Data ...

Instrumentl

Marketing Ops Manager

Concord, NC · Remote

About the role: We're hiring a Marketing Ops Manager, reporting to the Revenue Operations Lead, to ... You'll architect our marketing data model within our CRM, integrate new data sources, and implement ...

Instrumentl

Marketing Ops Manager

About the role: We're hiring a Marketing Ops Manager, reporting to the Revenue Operations Lead, to ... You'll architect our marketing data model within our CRM, integrate new data sources, and implement ...

Whatnot

Paid Creative Ops Manager

Los Angeles, CA · On-site

$140K - $155K/yr

Identify what can be automated and ship it, partnering with Data and Eng where needed. * Cross ... Direct paid creative ops experience is a plus, but operational and analytical judgment matter more ...

Telhio Credit Union

IT Ops Manager

Columbus, OH · On-site

$91K - $112K/yr

Must bring a continuous improvement mindset to IT Ops. * Identify and eliminate security ... Data Center Operations Specialist (DCOS), or Data Center Operations Manager (DCOM) - Preferred.

Hp

Revenue Ops Manager

Spring, TX · Remote

$150K - $200K/yr

Revenue Ops Manager Description - Job Summary This role is responsible for overseeing the ... Analysis Data Management Data Modeling Data Quality Data Science Data Visualization Data ...

Ross

Engineer I

Dublin, CA · On-site

$99K - $130K/yr

... ops and others to build insightful, scalable, and robust data pipelines that feed our various ... Design, build and manage data objects across the data analytics platform * Develop and deploy ...

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How much do data ops manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for data ops manager in the United States is $97,145.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,000.00 and $125,500.00 per year, depending on experience, location, and employer.

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.

Is data operations a good career?

Data operations is a growing field that involves managing and optimizing data workflows, often requiring skills in data management tools, scripting, and cloud platforms. It offers opportunities for advancement, competitive salaries, and the chance to work in various industries such as technology, finance, and healthcare.

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.

How much is the salary of an operations manager?

The salary of a Data Ops Manager typically ranges from $80,000 to $130,000 annually, depending on experience, location, and company size. Additional compensation may include bonuses and benefits, and strong skills in data management tools can influence earning potential.

What is the minimum salary of an operations manager?

The minimum salary for a Data Ops Manager varies by location and experience but typically starts around $70,000 to $90,000 annually in the United States. Entry-level positions or those in smaller markets may offer lower starting salaries, while experienced managers in larger companies or high-cost areas can earn significantly more.

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 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.

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Data Ops Manager jobs near you
Data Operations Lead

Data Operations Lead

Sieve

San Francisco, CA • On-site

Full-time

Posted 28 days ago

Job description

Job Summary:
Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in the growth of applications powered by high-quality training data. The Data Operations Lead will manage the execution and scaling of the company's data operations platform, overseeing workforce management, QA processes, and driving growth initiatives.
Responsibilities:
• Operate and scale Sieve's internal data ops platform, including workforce management, task assignment, and QA workflows
• Drive platform growth: run acquisition campaigns, test new sourcing channels, and grow the user base through creative and scalable strategies
• Source, onboard, and manage a distributed human workforce for data annotation, curation, and quality review
• Build and improve QA processes to ensure data output meets the standards required by frontier AI labs
• Own product ops for the data platform. Work with engineering to ship tooling improvements, track operational metrics, and identify gaps
• Create documentation, SOPs, and training materials for operational workflows
Qualifications:
Required:
• Mixed technical and non-technical skillset, comfortable with data tooling, light scripting, and spreadsheet-level analysis
• Strong organizational skills and attention to detail; able to manage multiple concurrent work streams
• Growth mindset: experience running or contributing to user acquisition, sourcing campaigns, or platform growth efforts
• Bachelor's degree in CS, STEM, or equivalent practical experience
• In-person at our SF HQ
Preferred:
• Experience managing human-in-the-loop data operations or annotation pipelines
• At least 1 year of engineering experience or strong technical fluency
• Experience as an early hire at a startup or spearheading ops at an AI lab
• Familiarity with data quality frameworks or ML data pipelines
Company:
Sieve supplies video data to frontier AI labs. Founded in 2022, the company is headquartered in San Francisco, USA, with a team of 11-50 employees. The company is currently Early Stage.

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