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Operations Research Manager Jobs in California (NOW HIRING)

This role brings deep operations research expertise to modeling, simulation, and analysis (MS&A) of ... SN Model Management Charter Develop MS&A documentation and training materials; conduct MS&A ...

Taxable Entity MCCALLIE ASSOCIATES INC Job Title Operations Research Analyst Location CA Los Angeles AFB - El Segundo, 90245 US (Primary) Category Business Program Management and Administration Job ...

Operations Research Analyst

Los Angeles, CA

$106K - $125K/yr

In this position, the Operations Research Analyst will support Space Safari and its portfolio of ... Manage the Rendezvous and Proximity Operations (RPO) technical baseline, leading integration across ...

The Research Manager will lead day-to-day project operations, serve as the primary client contact, and help develop the skills of junior team members. They should be detail-oriented, analytically ...

We are looking for a Research Operations Program Manager to build and scale the systems that enable UX Research to operate with speed, quality, compliance, and product impact. This role sits at the ...

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Operations Research Manager information

See California salary details

$38K

$92.6K

$149K

How much do operations research manager jobs pay per year?

As of Jun 15, 2026, the average yearly pay for operations research manager in California is $92,576.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $114,000.00 per year, depending on experience, location, and employer.

What is the difference between Operations Research Manager vs Data Analyst?

AspectOperations Research ManagerData Analyst
Required CredentialsBachelor's or Master's in Operations Research, Industrial Engineering, or related fields; often certifications in project managementBachelor's or Master's in Statistics, Data Science, or related fields; certifications like Microsoft Excel or Tableau
Work EnvironmentTypically in corporate, manufacturing, or logistics settings; managing teams and projectsIn offices or remote; analyzing data sets and creating reports
Employer & Industry UsageUsed in supply chain, manufacturing, logistics, and consulting firmsCommon across finance, marketing, healthcare, and tech industries

While both roles involve data analysis, Operations Research Managers focus on optimizing complex systems and processes using advanced mathematical models, often leading teams. Data Analysts primarily interpret data to support decision-making through reports and visualizations. The roles overlap in data skills but differ in scope and strategic impact.

How do Operations Research Managers typically collaborate with cross-functional teams within an organization?

Operations Research Managers frequently work closely with teams from departments such as IT, finance, logistics, and production to identify operational challenges and develop data-driven solutions. They lead or participate in project meetings, translate complex analytical findings into actionable recommendations, and ensure that proposed models align with business objectives. Effective communication and the ability to explain technical concepts clearly are essential, as these managers serve as a bridge between analytical experts and decision-makers. This collaborative environment fosters innovation and ensures the successful implementation of optimization strategies.

What are Operations Research Managers?

Operations Research Managers are professionals who oversee teams that use mathematical modeling, data analysis, and optimization techniques to help organizations solve complex problems and make better decisions. They often manage projects that improve efficiency, reduce costs, and enhance overall performance in various industries such as manufacturing, logistics, healthcare, and finance. These managers translate business challenges into analytical models and guide their teams in implementing solutions that support organizational goals.

What are the key skills and qualifications needed to thrive as an Operations Research Manager, and why are they important?

To thrive as an Operations Research Manager, you need advanced analytical skills, a solid grasp of mathematical modeling, and typically a master's or Ph.D. in operations research, mathematics, or a related field. Proficiency in optimization software, statistical analysis tools (such as MATLAB, R, or Python), and experience with data visualization systems is essential. Strong leadership, problem-solving, and communication skills set standout managers apart by enabling them to lead teams and explain complex findings to stakeholders. These capabilities are crucial for making data-driven decisions that optimize organizational efficiency and competitive advantage.
What are the most commonly searched types of Operations Research jobs in California? The most popular types of Operations Research jobs in California are:
What job categories do people searching Operations Research Manager jobs in California look for? The top searched job categories for Operations Research Manager jobs in California are:
What cities in California are hiring for Operations Research Manager jobs? Cities in California with the most Operations Research Manager job openings:
Infographic showing various Operations Research Manager job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 90% In-person, and 10% Remote job distribution, with an average salary of $92,576 per year, or $44.5 per hour.
Operations Manager, Research

$74K - $125K/yr

Full-time

Posted 5 days ago


The Jackson Laboratory rating

8.0

Company rating: 8.0 out of 10

Based on 21 frontline employees who took The Breakroom Quiz

38th of 103 rated laboratories


Job description

The Operations Manager holds a pivotal role in overseeing, strategizing, and optimizing daily operations, ensuring alignment with the organization's goals. They are instrumental in driving efficiency, managing resources, and fostering collaboration across departments to enhance overall productivity and success.

Remote with travel as needed.

Key Responsibilities and Essential Functions

  • Develop and implement operational strategies aligned with the organization's objectives.

  • Streamline workflows and procedures to enhance productivity and reduce costs.

  • May supervise and mentor operational teams, ensuring they meet performance targets.

  • Ensure products/services meet quality standards through regular monitoring and improvements.

  • Identify potential risks and develop contingency plans to mitigate them.

  • Maintain relationships with suppliers to ensure timely and cost-effective delivery of goods/services.

  • Ensure operations comply with relevant regulations and industry standards.

  • Analyze operational data to identify trends, inefficiencies, and areas for improvement.

  • Liaise between different departments to facilitate seamless operations and communication flow.

  • Oversee the planning, execution, and completion of research projects,
    ensuring they meet deadlines and adhere to quality standards.

  • Manage research budgets, allocate resources efficiently, and optimize
    funding for various research initiatives.

  • Supervise data collection methods, analysis techniques, and ensure
    accuracy and reliability of research findings.

  • Collaborate with cross-functional teams to align research goals with organizational objectives and integrate research findings into actionable insights.

Knowledge, Skills, and Abilities

  • Bachelor's degree, master's degree preferred

  • 5 or more years of related experience working in an academic scientific research setting

  • Strong project management experience is required

  • Understanding of operational processes, supply chain, and logistics

  • Knowledge of budgeting, cost control, and financial analysis.

  • Understanding of the industry-specific operational requirements.

  • Familiarity with relevant laws and regulations impacting operations.

  • Utilizing software and tools for process optimization and data analysis.

  • Ability to lead, motivate, and manage teams effectively.

  • Capacity to identify issues and develop effective solutions.

  • Strong verbal and written communication skills to interact with various stakeholders.

  • Capability to analyze data and make data-driven decisions.

  • Organizational skills to manage multiple projects simultaneously.

  • Ability to think long-term and align operations with organizational goals.

  • Flexibility to adapt to changing environments and prioritize tasks accordingly.

  • Confidence in making timely and informed decisions

  • Capacity to handle conflicts and resolve issues within teams or departments.

  • Ensuring accuracy and precision in managing operations.

  • Knowledge of various research methodologies, qualitative and quantitative analysis techniques.

  • Ability to use statistical software/tools for data analysis and interpretation.

Pay Range: $74,772 - $125,184 based on years of related experience

About JAX:

The Jackson Laboratory is an independent, nonprofit biomedical research institution with a National Cancer Institute-designated Cancer Center and nearly 3,000 employees in locations across the United States (Maine, Connecticut, California),Japan andChina. Its mission is to discover precise genomic solutions for disease and empower the global biomedical community in the shared quest to improve human health.

Founded in 1929, JAX applies over nine decades of expertise in genetics to increase understanding of human disease, advancing treatments and cures for cancer, neurological and immune disorders, diabetes, aging and heart disease. It models and interprets genomic complexity, integrates basic research with clinical application, educates current and future scientists, and provides critical data, tools and services to the global biomedical community. For more information, please visitwww.jax.org.

EEO Statement:

The Jackson Laboratory provides equal employment opportunities to all employees and applicants for employment in all job classifications without regard to race, color, religion, age, mental disability, physical disability, medical condition, gender, sexual orientation, genetic information, ancestry, marital status, national origin, veteran status, and other classifications protected by applicable state and local non-discrimination laws.


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