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Data Operations Lead Jobs in California (NOW HIRING)

Operations Lead

San Francisco, CA · On-site

$100 - $130/hr

We're hiring an Operations Lead to bridge the gap between our technology and real-world logistics ... SQL or data analysis experience * Knowledge of AI/ML applications in operations #J-18808-Ljbffr

Data Partnerships Lead

Los Angeles, CA · On-site

$113K - $213K/yr

What the Role Entails About the Role We are seeking a Data Partnership Lead to drive data operations and strategies for our frontier AI research initiatives. In this role, you will design end-to-end ...

We are hiring a Data Operations Intern to own cross-functional execution for MaxInsights' data ... Lead meetings, assign owners, document decisions, and provide concise stakeholder updates. * Build ...

Data Partnerships Lead

Palo Alto, CA · On-site

$113K - $213K/yr

What the Role Entails About the Role We are seeking a Data Partnership Lead to drive data operations and strategies for our frontier AI research initiatives. In this role, you will design end-to-end ...

Showing results 21-40

Data Operations Lead information

See California salary details

$51.3K

$126.8K

$197.4K

How much do data operations lead jobs pay per year?

As of Sep 5, 2026, the average yearly pay for data operations lead in California is $126,843.00, according to ZipRecruiter salary data. Most workers in this role earn between $92,800.00 and $161,400.00 per year, depending on experience, location, and employer.

What is a data operations lead?

A Data Operations Lead is responsible for overseeing data workflows, ensuring data accuracy, and optimizing data management processes within an organization. They collaborate with data engineers, analysts, and business teams to streamline data collection, processing, and governance. Their role includes maintaining data pipelines, improving data quality, and ensuring compliance with data security regulations. By implementing best practices and automation, they help improve efficiency and maximize the value of data for decision-making.

What are the key skills and qualifications needed to thrive as a data operations lead?

To thrive as a Data Operations Lead, you need a strong background in data management, analytics, and process optimization, often supported by a degree in computer science, data science, or a related field. Proficiency with database platforms (such as SQL), ETL tools, cloud data services, and familiarity with data governance frameworks and certifications like Certified Data Management Professional (CDMP) are highly valuable. Exceptional leadership, problem-solving abilities, and strong communication skills help in guiding teams and collaborating with stakeholders. These competencies are crucial for maintaining data quality, streamlining operations, and ensuring that data initiatives align with organizational objectives.

What are common challenges faced by a data operations lead, and how can they be addressed?

Data Operations Leads often encounter challenges such as managing large-scale data integration from diverse sources, ensuring data quality and consistency, and automating processes to improve efficiency. These challenges require a proactive approach to troubleshooting, setting robust data governance standards, and collaborating closely with IT, analytics, and business teams. By fostering clear communication, leveraging modern data management tools, and establishing strong protocols, Data Operations Leads can effectively address these issues. This collaborative and strategic mindset ultimately helps organizations maximize the value of their data assets while minimizing operational risks.

What does a data operations lead do?

A data operations lead manages the processes and systems that handle an organization's data, ensuring data quality, integrity, and security. They oversee data workflows, coordinate with data teams, and often use tools like SQL, data pipelines, and analytics platforms to optimize data management and support business decision-making.

What are the most commonly searched types of Data Operations Lead jobs in California?

The most popular types of Data Operations Lead jobs in California are:

What are popular job titles related to Data Operations Lead jobs in California?

For Data Operations Lead jobs in California, the most frequently searched job titles are:

What job categories do people searching Data Operations Lead jobs in California look for?

The top searched job categories for Data Operations Lead jobs in California are:

Infographic showing various Data Operations Lead job openings in California as of August 2026, with employment types broken down into 83% Full Time, 14% Part Time, 1% Temporary, 1% Contract, and 1% Nights. Highlights an 93% Physical, 3% Hybrid, and 4% Remote job distribution, with an average salary of $126,843 per year, or $61 per hour.

General Manager, Data Operations (San Francisco)

David AI

San Francisco, CA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago


Job description

About David AI

David AI is the first audio data research company. We bring an R&D approach to data–developing datasets with the same rigor AI labs bring to models. Our mission is to bring AI into the real world, and we believe audio is the gateway. Speech is versatile, accessible, and human—it fits naturally into everyday life. As audio AI advances and new use cases emerge, high-quality training data is the bottleneck. This is where David AI comes in.

David AI was founded in 2024 by a team of former Scale AI engineers and operators. In less than a year, we’ve brought on most FAANG companies and AI labs as customers. We recently raised a $50M Series B from Meritech, NVIDIA, Jack Altman (Alt Capital), Amplify Partners, First Round Capital and other Tier 1 investors.

Our team is sharp, humble, ambitious, and tight-knit. We’re looking for the best research, engineering, product, and operations minds to join us on our mission to push the frontier of audio AI.

About our Data Operations team

Our Data Operations team powers David AI's Data Factory, transforming raw audio into high-quality training datasets for leading AI labs. Our mandate is to spin up new data pipelines and run them at a massive scale.

This means starting from a model capability we want a model to unlock, experimenting with different shapes of data and collection strategies, and validating them with researchers. Once an approach works, we industrialize it, building pipelines that can process audio with reliability, quality, and efficiency. We are relentless operators who thrive in ambiguity, equally comfortable prototyping novel workflows as we are managing large-scale production systems.

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, scalable data production. You’ll lead the team responsible for building and scaling pipelines, from 0→1 experiments that unlock new model capabilities to 1→N industrialization that processes data reliably and efficiently.

In this role, you will
  • Build and lead a team of Data Product Operations Leads, to spin up and scale data pipelines, from early experiments to production systems that generate high-quality audio data at scale.

  • Act as a thought partner to executive leadership on how we can evolve and scale delivery capabilities in service of customer needs.

  • Continuously monitor and improve pipeline health, spotting issues in sourcing, quality, or process early and owning solutions end-to-end.

  • Use metrics to drive decisions, tracking throughput, quality, and cost to guide prioritization and identify where to scale or invest next.

  • Work with researchers at leading AI labs to identify new model capabilities and turn them into concrete data workflows and project plans.

  • Partner with our internal research team to design and test new data shapes that unlock frontier model capabilities.

  • Own outcomes across functions, designing systems, managing execution, unblocking bottlenecks, and ensuring delivery at both prototype and production scale.

Your background looks like
  • 5–10 years of experience in high-ownership roles (e.g., founder, GM, COO, or strategy/ops at a venture-backed startup).

  • Prior experience scaling large-scale operational efforts at high-growth startups or fast-paced companies.

  • Technical fluency with data and operations; SQL proficiency required.

  • Prior experience designing and scaling systems, processes, and teams across different customer segments and product lines.

  • A relentless operator with high standards, bias to action, and strong attention to detail.

  • Comfortable with ambiguity and rapid pace; thrives in a “build while flying” environment.

  • Low-ego, collaborative, and mission-driven, focused on team and company success.

Bonus points if you have
  • Experience in data, ML, or large-scale operations.

  • Background in CS, industrial engineering, or similar.

Benefits
  • Unlimited PTO.

  • Top-notch health, dental, and vision coverage with 100% coverage for most plans.

  • FSA & HSA access.

  • 401k access.

  • Meals 2x daily through DoorDash + snacks and beverages available at the office.

  • Unlimited company-sponsored Barry’s classes.

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