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Manager Data Operations Lead Jobs (NOW HIRING)

Sieve

Data Operations Lead

San Francisco, CA · On-site

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.

Workiva, Inc.

Data Operations Lead

We are looking for a Data Operations Lead to ensure the reliability, scalability, and operational ... Incident Management: Lead and drive incident response and management for platform-related ...

HappyRobot Inc

Data Operations Lead

San Francisco, CA · On-site

$150K - $200K/yr

Manage End-to-End Operations: Oversee the full lifecycle of data acquisition, ensuring datasets are delivered on schedule and meet rigorous quality standards. * Lead Labeling Teams: Direct both in ...

KPMG

Manager, Data Operations

Albany, NY · On-site

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 ...

Verition Group LLC

Data Operations Manager

New York, NY · On-site

$170K - $200K/yr

We are seeking an experienced Data Operations Lead/Manager to join our technology team who will be responsible for supporting data-driven decision-making as well as the datasets that will enable AI ...

Arch

Senior Manager, Data Operations

New York, NY · On-site

$145K - $170K/yr

About the Role We are looking to hire a Senior Manager, Data Operations to lead and scale the data ... In this role, you will lead a team responsible for extracting, analyzing, and delivering data from ...

Murmuration

Manager, Data Success Management

The Manager, Data Success Management will oversee day-to-day data operations that support ... lead happy, healthy, and balanced lives. To that end, we offer a comprehensive benefits package ...

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Manager Data Operations Lead information

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$172K

How much do manager data operations lead jobs pay per year?

As of Jun 20, 2026, the average yearly pay for manager data operations lead 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 does a Manager Data Operations Lead do?

A Manager Data Operations Lead oversees the daily operations related to data management within an organization. This role is responsible for ensuring data integrity, optimizing data workflows, and leading a team of data professionals. Key responsibilities include implementing data governance policies, coordinating with IT and business units, and ensuring compliance with data security standards. The role requires strong leadership, technical expertise, and excellent problem-solving skills.

How does a Manager Data Operations Lead collaborate with cross-functional teams to ensure data quality and consistency?

A Manager Data Operations Lead frequently works with teams such as engineering, analytics, and business stakeholders to align data processes and standards. They facilitate communication between departments to clarify data requirements, resolve discrepancies, and implement best practices for data governance. Regular meetings and progress check-ins are typical, helping to quickly address issues and maintain high data quality across all business units. Effective collaboration ensures that data remains a reliable resource for decision-making and strategic initiatives.

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

In the US, high-paying roles such as executive positions (CEOs, CFOs), specialized surgeons, and successful entrepreneurs can earn $500,000 or more annually. Senior-level roles in finance, technology, and law, especially with bonuses and stock options, also reach this income level. These positions typically require extensive experience, advanced skills, and often leadership or specialized certifications.

What are the key skills and qualifications needed to thrive as a Manager Data Operations Lead, and why are they important?

To thrive as a Manager Data Operations Lead, you need a solid background in data management, analytics, and process optimization, typically with a degree in computer science, information systems, or a related field. Experience with data warehousing tools, ETL systems, SQL, and platforms like Snowflake or AWS, along with certifications such as PMP or Six Sigma, is highly valuable. Strong leadership, communication, and problem-solving skills enable you to coordinate teams, manage stakeholders, and drive continuous improvement. These skills are crucial for ensuring data quality, operational efficiency, and the strategic alignment of data initiatives within an organization.

How much is the salary of an operations manager?

The salary of a Manager Data Operations Lead varies depending on experience, location, and industry, but typically ranges from $80,000 to $130,000 annually. Factors such as technical skills, certifications, and company size can influence compensation levels.

What does a data operations lead do?

A data operations lead manages the processes and systems involved in collecting, storing, and maintaining data within an organization. They oversee data quality, ensure data governance compliance, and coordinate with teams to optimize data workflows, often using tools like SQL, data pipelines, and analytics platforms.

What is the difference between Manager Data Operations Lead vs Data Analyst?

AspectManager Data Operations LeadData Analyst
Required CredentialsBachelor's degree in Data Science, Business, or related field; experience in data managementBachelor's degree in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentLeads data teams, manages data operations, collaborates with multiple departmentsAnalyzes data sets, creates reports, supports decision-making
Employer & Industry UsageUsed in corporate, tech, finance sectors for managing data teamsCommon across industries for data insights and reporting
Search & Comparison IntentOften compared for leadership roles in data managementCompared for technical data analysis skills

The Manager Data Operations Lead focuses on overseeing data management teams and ensuring data quality across organizations, while Data Analysts primarily analyze data sets to generate insights. Both roles require strong data skills, but the manager role emphasizes leadership and operational oversight.

Is ops manager higher than GM?

A Manager of Data Operations Lead is a specialized managerial role focused on overseeing data processes and teams. Generally, a General Manager (GM) holds a broader executive position with overall responsibility for a business unit or organization, making the GM typically higher in organizational hierarchy than an operations manager. The specific hierarchy can vary by company structure and industry.
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Manager Data Operations Lead jobs near you
Data Operations Lead

Data Operations Lead

Sieve

San Francisco, CA • On-site

Full-time

Posted 3 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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