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

OPS

Secretary II

Port Hueneme, CA · On-site

$24.45 - $29/hr

Description: Oneida Professional Services (OPS) is looking for a highly motivated and well ... Track action items, status reports, deliverables, and data call responses. * Gather, organize, and ...

Saransh Inc

AI/ ML Project Manager

Woodland Hills, CA · On-site

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 ...

Neighborly Ops LLC

Kitchen Manager

Thousand Oaks, CA · 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 ...

Curri

Assistant General Counsel

Ventura, CA · On-site

$150 - $180/hr

... ops development capabilities, who is comfortable with data-oriented strategic decision-making and ... Manage Curri's commercial contracting processes, including contract templates, playbooks, and ...

Oneida ESC Group

Secretary II

Port Hueneme, CA · On-site

$24 - $29/hr

Job Type Full-time Description Oneida Professional Services (OPS) is looking for a highly motivated ... Track action items, status reports, deliverables, and data call responses. * Gather, organize, and ...

Oneida Professional Services

Secretary II

Port Hueneme, CA · On-site

$24.45 - $29/hr

Description Oneida Professional Services (OPS) is looking for a highly motivated and well-organized ... Track action items, status reports, deliverables, and data call responses. * Gather, organize, and ...

Oneida ESC Group

Secretary II

Port Hueneme, CA · On-site

$24.45 - $29/hr

Job Type Full-time Description Oneida Professional Services (OPS) is looking for a highly motivated ... Track action items, status reports, deliverables, and data call responses. * Gather, organize, and ...

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All JobsData Ops JobsData Ops Manager JobsData Ops Manager Jobs in Oxnard, CA

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 Aug 14, 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 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 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 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:

Data Ops Manager jobs near you

Project Leader/ Manager - AI & Data (1250)

Axtria, Inc.

Thousand Oaks, CA • On-site

$54.50 - $73.50/hr

Full-time

Re-posted 23 days ago

Job description

Introduction
Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients. We are acutely aware that our work impacts millions of patients and lead passionately to improve their lives.
Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms - Axtria DataMax™, Axtria InsightsIQ™, Axtria SalesIQ™, and Axtria MarketingIQ™ - enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries. We continue to win industry recognition for growth and are featured in some of the most aspirational lists - INC 5000, Deloitte FAST 500TM, NJBiz FAST 50, SmartCEO Future 50, Red Herring 100, and several other growth and technology awards.
Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! Axtria is recognized for its organizational culture in both US and India, including certification by the Great Place to Work® Institute. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry. Axtria Institute, our in-house university, offers the best training in the industry and an opportunity to learn in a structured environment. A customized career progression plan ensures every Axtrian is setup for success and able to do meaningful work in a fun environment. We want our legacy to be the leaders we produce for the industry. Will you be next?
Description:
We are looking for a Project Lead / Manager for our AI & Data practice. Success in this position requires managing data solution projects (both consulting and delivery) based on Real World Data (RWD), Commercial Ops, Marketing, and Market Access data sets for reporting and analytical use cases.
Candidates will be expected to have extensive experience and deep understanding in the Life Sciences and Biopharma domain, across data sets and its usages such as:
  • Hands-on experience building GenAI /Agentic AI solutions including RAG pipelines, prompt engineering and agentic workflows using frameworks like LangChain or LangGraph. Pharma use cases will be added bonus
  • Syndicated commercial pharma datasets across Claims, Retail Sales, Non-retail Sales, Trade data, Specialty Pharmacy (SP/SD), Hub, Formulary, Co-pay, Prescriber-Plan data, EMR/EHR, Diagnostic data, Shipment, Inventory, Non-personal Promotion data, Speaker Programs, Email Campaigns, Digital Data (HCP Portal, Patient Portal, Brand websites, Third-party website), Conferences etc.
  • Internal commercial pharma datasets across CRM (Activity, Call Plan etc.), Sales Ops (Roaster, Alignment, Incentive Compensation etc.), Forecast etc.
  • Strong functional and domain understanding of internal and external commercial pharma datasets, how to integrate these data sets across internal and external sources and apply associated business and transformation rules and make them ready for downstream business insights and analytics applications.

Responsibilities will include:
  • Leading global teams to deliver programs for Commercial Data Management and Analytics solutions for Life Sciences clients.
  • Work with multiple small and medium biopharmaceuticals to deliver end-to-end data and analytics programs.
  • Directly work with senior Client and Axtria stakeholders in a highly consultative and responsive manner, to deliver high-quality and high-impact data management solutions to business problems around analytical use cases.
  • Support in developing data science competencies and resources for the customer by enabling access to big data sets (sourced within and outside the organization) using a combination of open source, cloud and other tools and techniques for data analytics, machine learning, mining, and visualization.
  • Engage with client stakeholders to understand their business problems, their data/technical landscape & recommend data driven solutions. Then work with clients to gather requirements, contribute to solution design, lead implementation, alignment of solution to client needs and customer satisfaction.
  • Manage projects ensuring exceptional quality, timely delivery, and client satisfaction.
  • Strong project and program management experience.
  • Develop detailed project plans, tailored to project's goals, objective, and scope.
  • Identify challenges, risks surrounding project scope, deliverables and effectively create a plan to effectively mitigate and communicate to all stakeholders.
  • Responsible for coordinating, conduct & manage requirements workshops, SIT, business UAT, feedback sessions, deliverable readouts with client's business and IT teams.
  • Identify opportunities for process improvements & efficiencies, lead their implementation & show it's benefits to involved stakeholders.
  • Be ready, willing & capable to do hands-on work, as needed, and to guide teams toward strong approaches to data pipelines, reporting and so on.
  • Deliver projects within global delivery model leveraging virtual teams in different time zones
  • Develop and maintain skills to the highest standards consistent with best practices and emerging trends in data engineering and analytical use cases.
  • Responsibility to ensure that the overall data & analytics solution meets client needs, is robust and best-in-class.
  • Contribute to Axtria's development of new solutions and analytical models.
  • Recruit, manage and mentor a team of data engineers/managers/consultants/analysts.

Required skills and experience:
  • A degree in Engineering, Computer Science with 5-8 years of prior relevant work experience in leading data engineering teams. A graduate degree is a must.
  • Knowledge of the Lifesciences domain. Prior experience in data engineering, data warehousing, data lakes, data hub related projects based on pharma data sets is a must.
  • Strong working knowledge of commercial pharma data sets.
  • Strong quantitative and analytical skills.
  • Appreciation of key technical concepts across- AWS stack (S3, Glacier, Athena etc.), DataBricks, dBT, Snowflake, Informatica, Matillion, BI technologies (PowerBI, Tableau, Qlik, MicroStrategy), SQL, Spark, Python, MDM (Reltio Informatica) and Data Governance (Collibra, Informatica) etc.
  • Excellent spoken and written communication skills, including superior visualization, storyboarding, and presentation skills.
  • Familiarity with Analytical Workbenches such as R, Alteryx, Dataiku, KNIME, AWS Sage maker etc. will be a big plus.
  • Ability to communicate actionable analytical findings to a technical or non-technical audience in clear and concise language.
  • Ability to lead project teams and own project delivery.

Pay Transparency Laws
Salary range or hourly pay range for the position
The salary range for this position is $98,250 to $136,500 annually. The actual salary will vary based on applicant's education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on applicant's geographic location.
The salary range reflected is based on a primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.
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