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Data Operations Manager Jobs in Castro Valley, CA

Suno

Lead, ML Data Operations

San Francisco, CA · On-site

$300K - $360K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Source, evaluate, and manage relationships with external data labeling vendors, from initial ... operations, training data, or data labeling programs with direct experience managing external ...

Suno

Lead, ML Data Operations

San Francisco, CA · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Source, evaluate, and manage relationships with external data labeling vendors, from initial ... operations, training data, or data labeling programs with direct experience managing external ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Drive program execution, resolve blockers, manage priorities, and continuously improve operational efficiency. * Own end-to-end execution of robot data collection and annotation programs, including ...

RoboForce

AI Data Operations Lead

Milpitas, CA · On-site

$145K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Drive program execution, resolve blockers, manage priorities, and continuously improve operational efficiency. * Own end-to-end execution of robot data collection and annotation programs, including ...

RoboForce

AI Data Operations Lead

Milpitas, CA

$145K - $205K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Drive program execution, resolve blockers, manage priorities, and continuously improve operational efficiency. * Own end-to-end execution of robot data collection and annotation programs, including ...

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All JobsData Operations JobsData Operations Manager JobsData Operations Manager Jobs in Castro Valley, CA

Data Operations Manager information

See Castro Valley, CA salary details

$35.8K

$112.1K

$198.5K

How much do data operations manager jobs pay per year?

As of Aug 17, 2026, the average yearly pay for data operations manager in Castro Valley, CA is $112,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $76,200.00 and $144,800.00 per year, depending on experience, location, and employer.

What is a data operations manager?

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 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.

Is a data operations manager a high paying job?

A data operations manager typically earns a competitive salary that varies by industry, location, and experience level. The role often requires strong analytical skills, knowledge of data management tools, and leadership abilities, which can contribute to higher compensation compared to entry-level positions.

What job categories do people searching Data Operations Manager jobs in Castro Valley, CA look for?

The top searched job categories for Data Operations Manager jobs in Castro Valley, CA are:

What cities near Castro Valley, CA are hiring for Data Operations Manager jobs?

Cities near Castro Valley, CA with the most Data Operations Manager job openings:

Data Operations Manager jobs near you

Human Data Operations Strategist

Encord

San Francisco, CA • On-site

Full-time

Re-posted 28 days ago

Job description

Job Summary:
Encord is a leading company in AI data management, supporting over 300 AI teams in optimizing their data workflows. The Human Data Operations Strategist will manage data annotation projects, ensuring high-quality data is available for AI models while collaborating with various teams and clients to refine processes and implement effective workflows.
Responsibilities:
• Oversee data annotation projects, translating complex AI and machine learning requirements into clear workflows and instructions for data annotation teams
• Ensure the highest standards of data quality by designing and refining annotation processes, auditing results, and implementing feedback loops
• Act as a trusted advisor to clients, helping them design and implement the best data annotation workflow for their human annotation process
• Provide guidance and feedback to the annotation team, ensuring team members are equipped with the context and skills needed to perform high-quality work aligned with project requirements and best practices
• Work closely with product and engineering teams to drive improvements in AI training data processes, tools, and methodologies
Qualifications:
Required:
• 3–7 years of professional experience, with a strong preference for backgrounds in top-tier strategy consulting and/or operations or data roles at leading AI or technology companies
• Proven ability to own complex, multi-stakeholder workflows end-to-end — from scoping and planning through execution, quality assurance, and iteration
• Working proficiency in Python or SQL, with the ability to query data, automate workflows, or audit annotation outputs; broader familiarity with relational databases or data annotation tooling equally valued
• Experience designing or optimising data operations processes with a strong eye for quality, consistency, and scalability — ideally in a context involving human-in-the-loop workflows or structured labelling tasks
• Demonstrated ability to engage effectively with both technical stakeholders (ML engineers, data scientists) and non-technical clients, translating requirements clearly in both directions
• A sharp, execution-oriented operator with a consulting or AI company pedigree — you bring structured thinking, strong project management instincts, and a bias for getting things done
• Analytically rigorous and comfortable with ambiguity — you break down complex operational challenges from first principles and build clear, actionable plans to solve them
• Technically fluent enough to get hands-on with data — whether that's querying a database, auditing annotation outputs, or automating a workflow in Python
• Passionate about AI and machine learning, with genuine curiosity about how data quality and operations underpin model performance
• A natural communicator who can translate fluidly between ML engineers and non-technical clients, keeping complex multi-stakeholder projects on track
• Entrepreneurial and collaborative — you thrive in fast-paced environments and take ownership without waiting to be told what to do
Preferred:
• Bonus: hands-on experience with computer vision, generative AI, or multimodal data workflows; prior exposure to data annotation platforms or quality management frameworks; experience coaching or managing operational teams
Company:
Encord is the AI native data Infrastructure company. We help teams curate, manage, and annotate the data needed to train and run AI Founded in 2021, the company is headquartered in San Francisco, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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