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Data Ops Manager Jobs (NOW HIRING)

Sieve

Product & Ops Lead

San Francisco, CA · On-site

Job Summary : Sieve is an AI research lab focused on video data, aiming to solve the bottleneck in high-quality training data for various applications. The Product & Ops Lead will manage ...

Patterson-UTI

Data Ops Lead

Houston, TX

Define and manage data SLAs, SLOs, and reliability metrics * Implement and maintain data quality checks, validations, and monitoring * Design processes for backfills, reprocessing, and failure ...

CX Data Labs

Scrum Master - Data focus

Dallas, TX · On-site

$51 - $68/hr

Manage dependencies between data teams, engineering, operations, and business stakeholders ... ops, business intelligence, etc. * Bonus: Experience scaling Agile across multiple teams (SAFe ...

Patterson-UTI

Data Ops Lead

Houston, TX · On-site

Define and manage data SLAs, SLOs, and reliability metrics * Implement and maintain data quality checks, validations, and monitoring * Design processes for backfills, reprocessing, and failure ...

Xenith Solutions LLC

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/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.

2K

Live Ops Manager

Kirkland, WA · On-site

$85K - $126K/yr

The Live Ops Manager makes real-time decisions that influence the economy and engagement of the ... Tune and balance gameplay and monetization systems based on qualitative and quantitative data ...

Cat Daddy

Live Ops Manager

Kirkland, WA

$85K - $126K/yr

The Live Ops Manager makes real-time decisions that influence the economy and engagement of the ... Tune and balance gameplay and monetization systems based on qualitative and quantitative data ...

Cat Daddy

Live Ops Manager

Kirkland, WA · On-site

$85K - $126K/yr

The Live Ops Manager makes real-time decisions that influence the economy and engagement of the ... Tune and balance gameplay and monetization systems based on qualitative and quantitative data ...

2K

Live Ops Manager

Kirkland, WA

$85K - $126K/yr

The Live Ops Manager makes real-time decisions that influence the economy and engagement of the ... Tune and balance gameplay and monetization systems based on qualitative and quantitative data ...

Xenith Solutions

Data Ops Engineer

San Diego, CA · On-site

$121K - $145K/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.

BigID

Marketing & AI Ops Manager

OR · Remote

$115K - $145K/yr

Marketing & AI Ops Manager This is not a traditional marketing ops role. We're looking for someone ... You'll own the systems and data pipelines that make our demand engine run, from lead capture to ...

Career Site

Senior Cloud Data Ops Engineer

Quincy, MA · On-site

$140K - $180K/yr

Support database lifecycle management across on prem, GCVE, and cloud native platforms * Partner ... Automation & Cloud Data Ops Engineering * Automate DBA and operational tasks using bash, PowerShell ...

Allied

Data Analyst - Data Ops

Chicago, IL · On-site +1

$50K - $55K/yr

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 ...

BigID

Marketing & AI Ops Manager

We're leading the market in all things data: helping our customers reduce risk, drive business ... Marketing & AI Ops Manager This is not a traditional marketing ops role. We're looking for someone ...

Tapcart Inc

Marketing Ops Manager

Santa Monica, CA · On-site

$140K - $150K/yr

You'll ensure our marketing data is clean, our attribution is accurate, and our funnel metrics tell ... with Sales, Rev Ops, Product, and Customer Success. You communicate proactively, manage ...

Bloomberg LP

CSOC Data Ops Specialist

New York, NY · On-site

CSOC Data Ops Specialist Location New York Business Area Legal, Compliance, and Risk Ref # 10051451 ... Primary Focus - Security Data Management • Own and drive the end to end onboarding of security ...

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$172K

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
Product & Ops Lead

Product & Ops 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 high-quality training data for various applications. The Product & Ops Lead will manage relationships with top AI lab customers, drive revenue expansion, and translate customer needs into internal priorities, requiring both technical fluency and strong relationship skills.
Responsibilities:
• Own and grow relationships with Sieve's top AI lab customers end-to-end, from onboarding through expansion
• Serve as the technical point of contact, understanding customer data pipelines, model training workflows, and how Sieve's datasets fit into their stack
• Translate customer feedback and requirements into clear internal briefs for engineering and data ops
• Drive renewals and upsells by identifying new dataset needs and partnership opportunities within existing accounts
• Collaborate closely with the partnerships, engineering, and data ops teams to ensure customer deliverables are met on time and at quality
• Contribute to sales processes for new customers including demos, technical scoping, and proposal development
Qualifications:
Required:
• Strong understanding of ML/AI workflows, particularly around data pipelines and model training
• A natural relationship builder with a strong external network, especially across AI labs and frontier model companies
• Excellent communication skills, able to translate between engineering and business audiences fluently
• Comfortable with ambiguity and moving fast in a startup environment
• In-person at our SF HQ
Preferred:
• Existing relationships at AI labs or frontier model companies
• Background in video, media, or content-related technologies
• Prior startup experience, especially as an early hire
• Experience in product, technical operations, or a customer-facing technical role
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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