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Data Operations Director Jobs in San Ramon, CA (NOW HIRING)

Data Operations

San Francisco, CA ยท On-site

$250K - $350K/yr

Data Operations San Francisco The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make ...

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.

Lead, ML Data Operations

San Francisco, CA ยท On-site

$241K - $382K/yr

About the Role We're looking for a Lead of ML Data Operations to build and lead a new function at ... Demonstrated leadership at a director or equivalent level, with a track record of building teams or ...

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 ...

Operations Director Hover helps people design, improve, and protect the properties they love ... With proprietary AI built on over a decade of real property data, Hover answers age-old questions ...

New

We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full ...

AI Data Operations Lead

Milpitas, CA ยท On-site

$145K - $205K/yr

We are looking for AI Data Operations Lead to lead and own the engineering of systems that turn embodied AI into real-world robot behavior. You will be the technical owner and lead for the full ...

We are looking for a Data Operations Lead to join Figure's Operations org and lead the team that stands up new human data operations sites around the world. Data is one of the largest and most ...

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Data Operations Director information

See San Ramon, CA salary details

$58.1K

$143.6K

$223.5K

How much do data operations director jobs pay per year?

As of Aug 31, 2026, the average yearly pay for data operations director in San Ramon, CA is $143,630.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,000.00 and $182,700.00 per year, depending on experience, location, and employer.

What does a Data Operations Director do?

A Data Operations Director is responsible for overseeing the management, organization, and optimization of a company's data-related processes and teams. They ensure data quality, security, and accessibility, while aligning data management with business goals. This role often involves supervising data analysts, engineers, and other professionals, and implementing strategies for data governance and compliance. The Data Operations Director also collaborates with other departments to support data-driven decision making and operational efficiency.

How does a Data Operations Director typically collaborate with cross-functional teams to ensure data integrity and accessibility?

A Data Operations Director works closely with IT, data engineering, analytics, and business units to establish robust data governance practices and streamline data workflows. They often lead efforts to standardize data definitions, enforce quality controls, and implement access protocols to ensure that stakeholders across the organization can use reliable data for decision-making. Regular meetings, project management tools, and clear communication channels are essential for aligning priorities and resolving data-related issues efficiently. This cross-functional collaboration is key to maintaining high data integrity and fostering a data-driven culture.

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

To thrive as a Data Operations Director, you need expertise in data management, analytics, process optimization, and a relevant degree such as in computer science, statistics, or information systems. Familiarity with data warehousing solutions, ETL tools, cloud platforms (like AWS or Azure), and certifications such as Certified Data Management Professional (CDMP) are commonly required. Leadership, strategic thinking, and strong communication skills are essential for driving cross-functional teams and aligning data initiatives with business goals. These capabilities ensure efficient, secure, and high-quality data operations that support informed decision-making and organizational growth.

What is the difference between Data Operations Director vs Data Analyst?

AspectData Operations DirectorData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Data Science, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentLeadership role overseeing data teams, strategic planningAnalyzing data sets, generating reports, supporting decision-making
Employer & Industry UsageUsed in organizations with large data operations, tech, finance, healthcareCommon across various industries for data insights and reporting

The Data Operations Director focuses on managing data teams and strategic data initiatives, while the Data Analyst concentrates on analyzing data to generate insights. Both roles require strong data skills, but differ in scope and responsibilities.

What are the most commonly searched types of Data Operations jobs in San Ramon, CA?

The most popular types of Data Operations jobs in San Ramon, CA are:

What job categories do people searching Data Operations Director jobs in San Ramon, CA look for?

The top searched job categories for Data Operations Director jobs in San Ramon, CA are:

What cities near San Ramon, CA are hiring for Data Operations Director jobs?

Cities near San Ramon, CA with the most Data Operations Director job openings:

Infographic showing various Data Operations Director job openings in San Ramon, CA as of August 2026, with employment types broken down into 82% Full Time, 15% 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 $143,630 per year, or $69.1 per hour.

Data Operations

Thinking Machines Lab

San Francisco, CA โ€ข On-site

$250K - $350K/yr

Full-time

Medical, Dental, Vision, PTO

Posted 4 days ago


Job description

The mission of Thinking Machines is to build AI that extends human will and judgment.
Data Operations
San Francisco
The mission of Thinking Machines is to build AI that extends human will and judgment. We are training frontier models with Inkling, developing Tinker to let people make models their own, and crafting interfaces that broaden human-AI communication. We believe the future worth building is human, and we're hiring people who want to build it.
About the Role
We're looking for someone to join Data Operations and help researchers get the data they need to train and evaluate our models.
You'll work directly with researchers to understand what they need, figure out how to get it, and own the work through delivery. Sometimes that means finding the right vendor. Sometimes it means digging into a new domain, finding unusual sources of data, or working through a request we haven't seen before.
This is a hands-on role. You'll spend time talking directly with vendors, reviewing data quality, and building processes and systems that make the work easier to repeat and scale.
Our research priorities change quickly, so the work will too. We're looking for someone who is resourceful, flexible, and comfortable figuring things out as they go.
What You'll Do
  • Work with researchers to understand what data they need and turn open-ended requests into a concrete plan.
  • Own data projects from sourcing and vendor selection through quality review and delivery.
  • Find the best vendors, experts, and data sources for different types of work.
  • Build and maintain strong partnerships with data vendors, including international partners.
  • Review data with researchers and vendors, identify quality issues, and improve the output.
  • Go deep on new data domains when needed and quickly learn what good looks like.
  • Build guidelines, processes, and tools that make recurring work easier and more scalable.
  • Automate repetitive work where it makes sense while staying close to the work that requires judgment.
  • Work with legal and other teams on practical ways to manage vendor relationships, and adhere to communication guidelines.
  • Manage multiple projects against research and model timelines and adjust quickly as priorities change.

Skills and Qualifications
Minimum qualifications
  • Experience owning operational, data, product, program, or vendor work from start to finish.
  • Experience working with data vendors ideally in AI or technology.
  • Strong problem-solving instincts and a willingness to dig in when there isn't an obvious answer.
  • Comfortable working directly with researchers or technical teams and turning loosely defined needs into action.
  • Good judgment about quality and a willingness to inspect the work closely rather than rely only on process.
  • Strong communication skills across different teams, vendors, and cultures.
  • Comfortable with ambiguity, changing priorities, and tight timelines.
  • High initiative and willingness to do whatever part of the job is needed to move the work forward.
  • Able to add useful structure without overcomplicating things.

Preferred qualifications - we encourage you to apply if you meet some but not all of these
  • Experience with pre-training, post-training, evaluation, annotation, or other AI data types.
  • Existing relationships with a diverse set of AI or related data vendors.
  • Experience at an AI company, data company, marketplace, or other fast-moving technology company.
  • Experience working with international vendors and cross-border operational or compliance issues.
  • Product, program, operations, or generalist experience in an environment where you had to build the process as you went.
  • Experience building simple tooling or automation to reduce manual operational work.

Logistics
  • Location: This role is based in San Francisco, CA.
  • Compensation: Depending on background, skills and experience, the expected annual salary range for this position is $250,000 - $350,000.
  • Visa sponsorship: We sponsor visas. While we can't guarantee success for every candidate or role, if you're the right fit, we're committed to working through the visa process together.
  • Benefits: Thinking Machines offers generous health, dental, and vision benefits, unlimited PTO, paid parental leave, and relocation support as needed.

As set forth in Thinking Machines' Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
Thinking Machines Lab will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the California Fair Chance Act, the San Francisco Fair Chance Ordinance, and any other applicable state or local fair chance ordinance or law.