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Data Ops Manager Jobs in Oxnard, CA (NOW HIRING)

Job Title Manager of Data Analytics Job Duties Pray, Inc. dba Pray.com in Westlake Village, CA is ... Work closely with our engineering, product, and systems ops teams to ensure ongoing health of the ...

New

Architect and manage cloud-based data solutions,leveragingAWS or other preferred platforms. * Lead ... and Dev Ops * Experiencedwith AWS, GCP or Azure cloud services Education andProfessional ...

Role: Project Manager (AI/ML) Location: Woodland Hills, CA (Day 1 Onsite) Job Type: Contract ... Coordinate and track deliverables across data science, LLM/NLP engineering, ML Ops, and DevOps ...

Ontra's solutions transform unstructured data trapped in static documents into actionable ... Collaborate with Rev Ops to enhance and improve shared technology systems, including Salesforce ...

New

Kitchen Manager

Thousand Oaks, CA ยท On-site

$68K - $72K/yr

As the Kitchen Manager, you will be responsible for ordering, inventory management, waste ... Will frequently reach, feel, bend, stoop, carry, finely manipulate and key in data * Flexible ...

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Data Ops Manager information

See Oxnard, CA salary details

$32.8K

$102.9K

$182.1K

How much do data ops manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for data ops manager in Oxnard, CA is $102,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,900.00 and $132,900.00 per year, depending on experience, location, and employer.

What is a Data Ops manager?

Data Ops Managers are professionals responsible for overseeing the processes, tools, and teams involved in managing and optimizing data operations within an organization. They ensure the smooth flow, quality, and accessibility of data across various platforms and departments. Their role often includes automating data pipelines, implementing data governance practices, and collaborating with data engineers, analysts, and business stakeholders to support data-driven decision making.

What are some common challenges faced by a Data Ops manager, and how can they be addressed?

Data Ops Managers often encounter challenges such as coordinating across multiple teams, ensuring data quality, and managing fast-evolving data pipelines. Success in this role requires strong communication skills to align stakeholders, robust processes for monitoring data workflows, and the ability to quickly troubleshoot issues when data delivery is disrupted. Adopting automation tools and fostering a culture of continuous improvement can help Data Ops Managers maintain reliable, scalable systems while supporting organizational data needs.

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

To excel as a Data Ops Manager, you need a deep understanding of data management, analytics workflows, and process automation, often supported by a degree in computer science or a related field. Familiarity with tools like SQL, Python, cloud platforms (AWS, Azure), and orchestration systems such as Apache Airflow is typically required, along with certifications in data management or cloud services. Strong leadership, problem-solving, and communication skills help coordinate cross-functional teams and drive data initiatives. These competencies are crucial for ensuring data reliability, optimizing data pipelines, and enabling data-driven decision-making across the organization.

What is the difference between Data Ops Manager vs Data Engineer?

AspectData Ops ManagerData Engineer
Primary FocusOversees data operations, workflows, and process optimizationBuilds, constructs, and maintains data pipelines and infrastructure
Required SkillsData management, process improvement, team coordinationProgramming, database systems, ETL development
CertificationsData management, cloud certifications often preferredSQL, cloud platform certifications, programming languages
Work EnvironmentCollaborates with data teams, operations, and business unitsWorks closely with data scientists, analysts, and developers

While both roles involve working with data, the Data Ops Manager focuses on managing data workflows and operational efficiency, whereas the Data Engineer concentrates on building and maintaining data infrastructure. Understanding these differences helps in choosing the right career path or hiring the appropriate professional for your data needs.

What job categories do people searching Data Ops Manager jobs in Oxnard, CA look for?

The top searched job categories for Data Ops Manager jobs in Oxnard, CA are:

What cities near Oxnard, CA are hiring for Data Ops Manager jobs?

Cities near Oxnard, CA with the most Data Ops Manager job openings:

Manager of Data Analytics

Healy World

Westlake Village, CA โ€ข On-site

$173 - $233/hr

Other

Medical, Dental, Vision, Life, Retirement

Posted 3 days ago

New


Job description

Job Title

Manager of Data Analytics

Job Duties

Pray, Inc. dba Pray.com in Westlake Village, CA is seeking a Manager of Data Analytics to create and organize systems to store and secure data.

Job responsibilities and duties include:

  • Evaluate disparate data warehousing and extraction, transformation and loading (ETL) solutions to determine the best technology and solutions for the analysis needs of our business.
  • Analyze the sizing of data, volume of queries and frequency of data updates via ETL.
  • Design data warehouse and data pipelines ensuring data integrity between systems is maintained; deploying statistical controls that monitor data and metrics from internal and external systems to identify data integrity issues automatically.
  • Architect, build, and launch new data models that provide intuitive analytics to design, product and executives based on business processes and business requirements.
  • Leverage programming languages such as Python and others to connect to application programming interfaces (APIs) in order to facilitate and integrate data for analysis and modeling purposes.
  • Ensure connections to APIs have technical documentation in order to facilitate maintenance and updates to these connection.
  • Responsible for scaling, supporting, and executing on data analytics initiatives and support for analytical insights for business decisions.
  • Work closely with our engineering, product, and systems ops teams to ensure ongoing health of the company's data infrastructure as well as data governance support.

This position supervises the work of two other employees, including Data Analysts, but does NOT involve any management (i.e., hiring, termination, discipline, compensation, or performance reviews)

Minimum requirements

Bachelorโ€™s degree in Computer Science, Computer Engineering, or any related IT or Engineering field of study plus at least five (5) years of postโ€‘degree progressively responsible experience in any related positions in which the required experience was gained. Employer will accept a foreign degree.

Qualified applicants must have demonstrable proficiency, knowledge, skill, or experience with the following:

  • Demonstrated experience developing and maintaining data pipelines and data analytic systems.
  • Demonstrated experience modeling data analytics solutions for business decisions or client sales/support (reports, analysis, and dashboards).
  • Demonstrated experience integrating and managing data supply pipelines with current software infrastructure.
  • Demonstrated experience performing exploratory analysis on data to find issues or trends.
  • Demonstrated experience curating and annotating proprietary datasets.
  • Demonstrated experience building, evaluating, and supporting data analytics and machine learning models.

Employer offers standard Medical, dental, vision, 401k, life insurance and stock options.

Additional Information
  • Job Location: 4607 Lakeview Canyon Drive, Ste. 456, Westlake Village, CA 91361
  • Travel Information: No travel required. Work from home (WFH) benefit available
  • Must be legally authorized to work in the United States without sponsorship.
  • Salary: $203,000
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