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Data Operations Manager Jobs in California (NOW HIRING)

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

The Data Operations Engineer will manage the internal dataset library and collaborate with various teams to ensure efficient access to data and maintain dataset quality. Responsibilities : • ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...

Encord

Human Data Operations Strategist

San Francisco, CA · On-site

$150K - $230K/yr

The role As a Human Data Operations Strategist, you will play a critical role in managing and optimising data annotation and machine learning workflows for our clients. You will work closely with ...

Figure

AI Data Operations Lead

San Jose, CA · On-site

$175K - $200K/yr

Identifying and launching in new geographies, managing localization, partnerships, and community ... operational systems * Owning your category's data dashboard - tracking volume, quality, and ...

Figure AI

AI Data Operations Lead

San Jose, CA · Hybrid

$175K - $200K/yr

Identifying and launching in new geographies, managing localization, partnerships, and community ... operational systems * Owning your category's data dashboard - tracking volume, quality, and ...

Figure

AI Data Operations Lead

San Jose, CA · Hybrid

$175K - $200K/yr

Identifying and launching in new geographies, managing localization, partnerships, and community ... operational systems * Owning your category's data dashboard - tracking volume, quality, and ...

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Data Operations Manager information

See California salary details

$30.6K

$95.9K

$169.7K

How much do data operations manager jobs pay per year?

As of Jun 20, 2026, the average yearly pay for data operations manager in California is $95,873.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,100.00 and $123,900.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Data Operations Manager?

A Data Operations Manager’s daily responsibilities often include overseeing the flow of data across systems, ensuring high data quality and security, and coordinating the activities of data analysts and engineers. They are responsible for developing and optimizing data processes, monitoring system performance, troubleshooting operational issues, and implementing data governance policies. Collaboration is key, as they frequently work with IT teams, business analysts, and stakeholders to ensure data needs and compliance standards are met. This role requires balancing strategic planning with hands-on management of day-to-day data operations.

What are the key skills and qualifications needed to thrive in the Data Operations Manager position, and why are they important?

To thrive as a Data Operations Manager, you need expertise in data management, analytics, workflow optimization, and a strong background in data governance, commonly backed by a degree in computer science or a related field. Proficiency with data warehousing solutions, ETL tools, SQL, and platforms like Tableau or Power BI, along with familiarity with industry certifications such as CDMP or PMP, is highly valuable. Strong leadership, problem-solving, and organizational skills enable effective collaboration with cross-functional teams and the ability to manage complex data projects. These skills and attributes are crucial for ensuring data quality, streamlining operations, and supporting business decision-making through accurate and timely data management.

What is a Data Operations Manager job?

A Data Operations Manager oversees the processes and systems that manage an organization's data to ensure accuracy, efficiency, and accessibility. They collaborate with data engineers, analysts, and IT teams to improve data workflows, maintain data integrity, and optimize data governance. Their responsibilities often include automating data processes, troubleshooting issues, and ensuring compliance with data policies. This role is critical for organizations that rely on data-driven decision-making and operational efficiency.

What are the most commonly searched types of Data Operations jobs in California? The most popular types of Data Operations jobs in California are:
What are popular job titles related to Data Operations Manager jobs in California? For Data Operations Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Data Operations Manager jobs in California look for? The top searched job categories for Data Operations Manager jobs in California are:
What cities in California are hiring for Data Operations Manager jobs? Cities in California with the most Data Operations Manager job openings:
Data Operations Manager jobs near you
Infographic showing various Data Operations Manager job openings in California as of June 2026, with employment types broken down into 86% Full Time, 13% Part Time, and 1% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $95,873 per year, or $46.1 per hour.

Data Operations Engineer

Abaka AI

Mountain View, CA • On-site

$136K - $163K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Abaka AI is dedicated to being the world's most trusted data partner for AI companies, supporting over 1,000 industry leaders with scalable data solutions. The Data Operations Engineer will manage the internal dataset library and collaborate with various teams to ensure efficient access to data and maintain dataset quality.
Responsibilities:
• Develop and maintain a comprehensive understanding of Abaka AI’s dataset library, including data structure, quality, and applicable use cases across modalities (text, image, video, audio, 3D).
• Serve as the internal point of contact for dataset-related inquiries, providing clear and timely responses to questions from engineering, product, and business teams.
• Translate ambiguous or high-level requests into concrete dataset solutions, identifying appropriate data sources or gaps.
• Inspect and validate datasets for quality, completeness, and consistency using SQL, Python, or other tools as needed.
• Coordinate with global data teams, including teams in China, to resolve data issues, clarify requirements, and ensure timely delivery without unnecessary escalation.
• Maintain and improve internal documentation, organization, and accessibility of datasets.
• Identify inefficiencies in current workflows and propose improvements to systems, tooling, and processes that support dataset management and usage.
• Support cross-functional initiatives by providing dataset insights, technical context, and operational guidance.
Qualifications:
Required:
• Bachelor’s degree in Computer Science, Data Engineering, or a related field, or equivalent practical experience.
• 1–4 years of experience in data operations, data engineering, or a related role involving direct interaction with datasets.
• Professional proficiency in Mandarin Chinese and English is required, as this role involves frequent collaboration with China-based vendors and external partners.
• Strong problem-solving skills and ability to operate effectively in ambiguous, fast-paced environments.
• Proficiency in SQL and/or Python for data inspection, validation, and basic analysis.
• Experience working with real-world datasets, including handling data quality issues, inconsistencies, and edge cases.
• Strong communication skills, with the ability to work across technical and non-technical teams.
• High level of ownership and accountability, with the ability to manage multiple requests and priorities simultaneously.
Preferred:
• Experience with multimodal datasets (text, image, video, audio, or 3D).
• Familiarity with data annotation, labeling workflows, or dataset preparation for machine learning.
• Experience working with international teams, particularly in cross-border environments.
• Exposure to AI/ML workflows, including training, fine-tuning, or evaluation datasets.
Company:
Abaka AI provides accurate and efficient AI data services, including data collection, data cleaning, data annotation, and OTS datasets. Founded in 2021, the company is headquartered in Palo Alto, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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