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Data Operations Manager Jobs in California (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.

David AI

General Manager, Data Operations

San Francisco, CA · On-site

$175K - $240K/yr

About this role As General Manager of Data Operations, you will lead one of the most critical functions at David AI. You'll own a major slice of our Data Factory: the engine that powers high-quality ...

HappyRobot

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

The Data Operations Engineer will serve as the operational backbone of the product organization ... Manage the human element of our agentic stack across voice, reasoning and coding agents. You will ...

Specter

Data Operations Engineer

San Francisco, CA · On-site

$81K - $110K/yr

Role: Specter is hiring a data operations engineer to build our research data operation. This ... Strong written and verbal communication skills, with experience managing external vendors or cross ...

Pathstone

Associate, Data Operations

San Francisco, CA · On-site

Pathstone is a growing wealth management firm serving ultra-high net worth families, single family ... The Data Operations Associate is a key member of Pathstone's centralized Data Operations team and ...

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Be Seen First

Business Operations Manager

Woodland Hills, CA · On-site

$110K - $130K/yr

Data Management Department Data Operations Manager responsible for analytics, reporting, data quality, governance, dashboards, and executive reporting. Research & Audit Department Research & Audit ...

Pathstone

Associate, Data Operations

San Francisco, CA · On-site

Pathstone is a growing wealth management firm serving ultra-high net worth families, single family ... The Data Operations Associate is a key member of Pathstone's centralized Data Operations team and ...

Initio Capital

Data Operations Analyst

San Francisco, CA · On-site +1

... managing project-based responsibilities - Prior experience through internships, projects, research, startups, consulting, finance, software, data, or operations is helpful but not required WHY APPLY ...

Hive

Data Operations Analyst

San Francisco, CA · On-site

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ... Day to day, you will be managing multiple projects at a time with operational excellence by ...

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 : • ...

Hive

Data Operations Analyst

San Francisco, CA

$60K - $85K/yr

Data Operations Analyst We are looking for an eager and motivated Data Operations Analyst to join ... Day to day, you will be managing multiple projects at a time with operational excellence by ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... management and usage. • Support cross-functional initiatives by providing dataset insights ... data operations, data engineering, or a related role involving direct interaction with datasets ...

Abaka AI

Data Operations Engineer

Mountain View, CA · On-site

$136K - $163K/yr

... management and usage. • Support cross-functional initiatives by providing dataset insights ... data operations, data engineering, or a related role involving direct interaction with datasets ...

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All JobsData Operations JobsData Operations Manager JobsData Operations Manager Jobs in California

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 Jul 15, 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 July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 12% Part Time, 1% Temporary, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $95,873 per year, or $46.1 per hour.
Data Operations Manager, Human Data

Data Operations Manager, Human Data

Anthropic

San Francisco, CA • On-site

Other

Re-posted 12 days ago

Job description

About the Role

As Data Operations Manager, you'll build and scale data operations across research teams working on frontier AI capabilities. You'll partner with researchers to design and execute data strategies, manage vendor relationships, and own the entire data pipeline from requirements to production. This role requires operational excellence combined with technical depth to understand what makes high-quality training data, but your focus will be on strategy and execution.

About the Impact

The data operations you build will directly determine how well our models perform on critical capabilities-tool use accuracy, prompt injection robustness, long-horizon reasoning, and safety alignment. You'll work with world-class researchers advancing the frontier while building the operational infrastructure to scale these efforts.

We're looking for someone who gets excited about the challenge of scaling quality across diverse research areas-someone who can understand nuanced technical requirements, build the right partnerships, and execute flawlessly. If you thrive at the intersection of operational excellence and cutting-edge AI research, we'd love to hear from you.

Responsibilities:

  • Own and execute data strategy for research teams advancing frontier AI capabilities across RLHF, safety, tool use, and agentic workflows

  • Drive strategic vendor partnerships and build scalable frameworks for technical data collection at scale

  • Design and implement operational systems that translate research requirements into high-quality data pipelines

  • Build evaluation frameworks and quality standards that ensure data meets the bar for training state-of-the-art AI systems

  • Lead cross-functional initiatives to optimize research velocity while maintaining rigorous quality standards

  • Proactively identify risks, bottlenecks, and opportunities to improve efficiency and effectiveness across data operations

  • Partner with senior research leaders to align data operations with model development roadmaps and strategic priorities

You may be a good fit if you:

  • Have 3+ years in operations, consulting, product management, or program management roles

  • Have exceptional project management skills with ability to handle multiple complex projects simultaneously

  • Have strong communication skills and can engage effectively with technical and non-technical stakeholders

  • Are familiar with how LLMs work or have strong interest in understanding AI training methodologies

  • Are highly organized and can navigate ambiguity effectively

  • Have experience with data analysis tools (SQL, Python, Tableau, spreadsheets, or similar)

  • Thrive in fast-paced research environments with shifting priorities

  • Are passionate about AI safety and understand the critical importance of high-quality data

Strong candidates may also have:

  • Experience with data collection, labeling, or annotation operations for AI/ML systems

  • Knowledge of RLHF, constitutional AI, or human-in-the-loop workflows

  • Background working with research teams at AI companies or research-oriented organizations

  • Experience managing vendor relationships or external contractors

  • Consulting background with experience translating complex requirements into deliverables

  • Track record of implementing process improvements or quality control systems at scale

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