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Data Operations Lead Jobs in California (NOW HIRING)

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 ...

We are the easiest way to extract data from the web. Developers use us to reliably convert URLs ... About this role We are looking for a Revenue Operations Lead with 3+ years of experience to own the ...

We are the easiest way to extract data from the web. Developers use us to reliably convert URLs ... About this role We are looking for a Revenue Operations Lead with 3+ years of experience to own the ...

Partner Operations Lead

San Francisco, CA · On-site +1

$179K/yr

Lead Strategy and Operations for Marketplace initiatives- ensuring Marketplace data and enrollments are represented in SFDC, defining the post-purchase customer and partner experience, determining ...

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 Aug 11, 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 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 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 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 84% Full Time, 12% Part Time, 2% Temporary, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $126,843 per year, or $61 per hour.

Data Partnerships Lead

Tencent

Palo Alto, CA • On-site

$113K - $213K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 17 days ago


Job description

Business UnitTechnology Engineering Group (TEG) is responsible for supporting the company and its business groups on technology and operational platforms, as well as the construction and operation of R&D management and data centers, TEG provides users with a full range of customer services. As the operator of the largest networking, devices, and data center in Asia,TEG also leads the Tencent Technology Committee in strengthening infrastructure R&D through internal and distributed open source collaboration, constructing new platforms and supporting business innovation.What the Role EntailsAbout 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 data acquisition strategies, manage key vendor relationships, and own the data pipeline from requirements to production. This role requires a unique blend of technical depth-to evaluate what constitutes high-quality training data-and operational excellence to execute at a global scale.

Key Responsibilities

  • Execute End-to-End Data Strategy: Partner directly with foundational model research and algorithm leaders to identify technical data gaps, translating research roadmaps into targeted global sourcing and supplementation strategies.
  • Drive Strategic Partnerships: Own the full lifecycle of high-value technical data acquisition across North American commercial vendors, research networks, and open-source communities-from initial sourcing and executive pitching to structured commercial negotiation.
  • Establish Quality & Evaluation Metrics: Collaborate with engineering teams to build data evaluation standards, assessing the technical quality, scarcity, and training utility of external assets to ensure they meet strict algorithmic benchmarks.
  • Navigate Complex Data Governance: Work cross-functionally with Legal, Privacy, and Security teams to structure licensing, provenance, and anonymization terms (including CCPA/CPRA and broader data regulations) that guarantee legal training and commercial usability
  • Scale Data Operations: Build robust, long-term vendor and partner ecosystems, managing delivery SLAs and pipeline tracking to accelerate research velocity without sacrificing quality.
Who We Look For

Preferred Qualifications

  • Demonstrated expertise in high-leverage technical environments, with a strong background in Technical Program Management (TPM), AI Data Operations, Strategic Tech Deals, Data Licensing, or Management Consulting.
  • Optimize Data Ingestion Workflows: Standardize external dataset specifications and integrate them into internal data processing and pre-training workflows to realize scalable asset accumulation.
  • Deep operational knowledge of North American data commercial compliance rules and IP licensing rchitectures.

Location State(s)

US-California-Los Angeles, US-California-Palo AltoThe expected base pay range for this position in the location(s) listed above is $113,900.00 to $213,800.00 per year. Actual pay may vary depending on job-related knowledge, skills, and experience. Employees hired for this position may be eligible for a sign on payment, relocation package, and restricted stock units, which will be evaluated on a case-by-case basis. Subject to the terms and conditions of the plans in effect, hired applicants are also eligible for medical, dental, vision, life and disability benefits, and participation in the Company's 401(k) plan. The Employee is also eligible for up to 15 to 25 days of vacation per year (depending on the employee's tenure), up to 13 days of holidays throughout the calendar year, and up to 10 days of paid sick leave per year. Your benefits may be adjusted to reflect your location, employment status, duration of employment with the company, and position level. Benefits may also be pro-rated for those who start working during the calendar year.Equal Employment Opportunity at Tencent

As an equal opportunity employer, we firmly believe that diverse voices fuel our innovation and allow us to better serve our users and the community. We foster an environment where every employee of Tencent feels supported and inspired to achieve individual and common goals.