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Big Data Manager Jobs in Riverside, CA (NOW HIRING)

Kynite

Tech Support L1

City Of Industry, CA

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Kynite

Tech Support L1

City Of Industry, CA · On-site

Blockchain, Cloud Services, Big Data & Analytics, Artificial Intelligence, Enterprise, Staff Augmentation and Managed Services * We are BigData Experts * We are Cloud Experts * We are Enterprise ...

Jobsbridge

Business Analyst

Santa Ana, CA

... Big Data or Cloud or Mobility developers/architects, we have them all. Bachelor's Degree or equivalent 5 years of relevant experience Basic project management skills and understanding of project ...

UpdatePromise

IT Manager

Hemet, CA

$95K - $116K/yr

From our flagship Auto-Body Review product that changed an industry, to our full suite of products geared towards communication and automation, managing big data and providing leading edge ...

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All JobsBig Data JobsBig Data Manager JobsBig Data Manager Jobs in Riverside, CA

Big Data Manager information

See Riverside, CA salary details

$32.3K

$101.3K

$179.4K

How much do big data manager jobs pay per year?

As of Jul 23, 2026, the average yearly pay for big data manager in Riverside, CA is $101,348.00, according to ZipRecruiter salary data. Most workers in this role earn between $68,900.00 and $130,900.00 per year, depending on experience, location, and employer.

What are some common challenges Big Data Managers face when leading cross-functional teams?

Big Data Managers often navigate challenges such as aligning diverse technical expertise, ensuring clear communication across departments, and managing competing priorities between data science, engineering, and business stakeholders. They must balance the strategic vision with practical constraints like data privacy, scalability, and project deadlines. Successful managers foster collaboration by setting clear expectations, facilitating regular check-ins, and promoting a shared understanding of project goals.

Will AI replace big data?

As a Big Data Manager, it is important to understand that AI tools enhance data analysis and automation but do not fully replace the need for skilled professionals to interpret complex data sets, design data architectures, and ensure data quality. AI can automate routine tasks, allowing managers to focus on strategic insights and decision-making. Human expertise remains essential for managing data governance, ethical considerations, and integrating AI into broader data strategies.

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

To thrive as a Big Data Manager, you need expertise in data architecture, analytics, database management, and a strong background in computer science or a related field. Familiarity with big data platforms like Hadoop, Spark, and tools such as SQL, NoSQL databases, and relevant certifications (e.g., AWS Big Data Specialty) is highly beneficial. Exceptional leadership, problem-solving, and communication skills help in managing teams and translating business goals into technical solutions. These skills are crucial for efficiently overseeing large-scale data projects and ensuring data-driven decision-making aligns with organizational objectives.

What is a Big Data Manager?

A Big Data Manager is a professional responsible for overseeing the collection, storage, analysis, and use of large and complex data sets within an organization. They manage teams of data engineers, analysts, and scientists to ensure data is processed efficiently and securely. Big Data Managers also develop strategies to leverage data for business insights, make technology decisions, and ensure compliance with data governance policies. Their role bridges the gap between business objectives and technical solutions in the realm of big data.

Is 40 too late for data science?

For a Big Data Manager or data science professional, starting a career at 40 is not too late. Many individuals successfully transition into data roles later in life by acquiring relevant skills such as programming, statistics, and tools like SQL or Python, often through certifications or online courses. Experience, continuous learning, and adaptability are key factors in entering and advancing in data science at any age.

Is big data a good career?

Big Data Managers play a key role in overseeing data collection, storage, and analysis using tools like Hadoop and Spark. The field offers high demand, competitive salaries, and opportunities for advancement, especially for those with strong technical skills and certifications. It is considered a promising career path for individuals interested in data-driven decision making.

What is the difference between Big Data Manager vs Data Analyst?

AspectBig Data ManagerData Analyst
Required CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; often certifications in big data toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages data infrastructure, oversees big data projectsAnalyzes data sets, creates reports, visualizations for insights
Employer & Industry UsageUsed in tech, finance, healthcare industries managing large-scale data systemsCommon across various industries for data-driven decision making

The Big Data Manager focuses on overseeing big data infrastructure, managing teams, and ensuring data systems operate efficiently. In contrast, Data Analysts primarily interpret data, generate reports, and provide insights. Both roles require strong technical skills, but their responsibilities and focus areas differ significantly.

What is the salary of a data manager?

The salary of a Big Data Manager typically ranges from $90,000 to $150,000 annually, depending on experience, location, and industry. Professionals with expertise in data architecture, cloud platforms, and data governance tend to earn higher salaries.
What are popular job titles related to Big Data Manager jobs in Riverside, CA? For Big Data Manager jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Big Data Manager jobs in Riverside, CA look for? The top searched job categories for Big Data Manager jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Big Data Manager jobs? Cities near Riverside, CA with the most Big Data Manager job openings:
Big Data Manager jobs near you
Infographic showing various Big Data Manager job openings in Riverside, CA as of July 2026, with employment types broken down into 89% Full Time, and 11% Contract. Highlights an 100% In-person job distribution, with an average salary of $101,348 per year, or $48.7 per hour.
Director-Data Science Center

Director-Data Science Center

Loma Linda University Health

Loma Linda, CA

Other

Posted 8 days ago

Loma Linda University Health rating

8.2

Company rating: 8.2 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

88th of 1,023 rated hospitals

Job description

Shared Services: Center for Data Sciences (Full-Time, Day Shift) -

Job Summary: The Director for the Center of Data Science advances cutting-edge research and develops transformative solutions at the intersection of biology, medicine, and data science. Contributes to campus-wide groundbreaking initiatives that will drive scientific innovation, enhance patient care, and align our mission to improve lives. Performs other duties as needed.

Education and Experience: Doctor of Philosophy degree in Biostatistics, Bioinformatics, Computational Biology, Data Science, or a related field required. Minimum five years of applied experience in biostatistics, bioinformatics, and Artificial Intelligence and Machine Learning applications required.

Knowledge and Skills: Strong understanding of life sciences, including genomics, systems biology, and molecular biology. Working knowledge of descriptive and inferential statistics, predictive modeling, multivariate analysis, Bayesian statistics experimental design and Model validation and interpretation. Knowledge of bioinformatics tools and databases (e.g., BLAST, GATK, Ensembl), clinical and big data integration, multi-omics analyses, and translational research. Proficiency in statistical programming languages (e.g., R, SAS) and general-purpose programming languages (e.g., Python, Julia, or C++). Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, or Scikit-learn) and advanced AI algorithms. Familiarity with cloud computing platforms (e.g., AWS, Azure, or GCP) and containerization tools (e.g., Docker, Kubernetes). Exceptional analytical and problem-solving skills. Able to read; write and speak with professional quality; use computer and software programs necessary to the position (e.g., Word, Excel, Power Point, Access); operate/troubleshoot basic office equipment required for the position. Relate and communicate positively, effectively, and professionally with others; provide leadership; be assertive and consistent in enforcing policies ensuring compliance with regulatory standards, rules and laws; work calmly and respond courteously when under pressure; lead, supervise, teach, and collaborate; accept direction. Think critically; work independently; perform basic math and statistical functions; manage multiple assignments; compose written material; work well under pressure; problem solve; organize and prioritize workload; recall information with accuracy; pay close attention to detail. Distinguish colors as necessary; hear sufficiently for general conversation in person and on the telephone, and identify and distinguish various sounds associated with the workplace; see adequately to read computer screens, and written documents necessary to the position.

Licensures and Certifications: None.

Our mission is to continue the teaching and healing ministry of Jesus Christ. Our core values are compassion, excellence, humility, integrity, justice, teamwork and wholeness.
Loma Linda University Health is a Seventh-day Adventist, faith and values based Christian institution. Candidates must understand and embrace the mission, purpose, and identity of Loma Linda and its affiliated entities.

We are an equal opportunity employer committed to the principles of diversity. We provide equal opportunities in all aspects of the employment process to every individual, regardless of gender, race, color, age, national origin, ancestry, physical or mental disability, marital or veteran status, genetic information or any other characteristic protected by law. In addition, we will provide reasonable accommodations for otherwise qualified individuals requesting an accommodation due to a disability. If you need accommodation assistance with accessing our job listings or completing an application, or during any other phase of employment with us, please contact Human Resources Management at (909) 651-4001.

Loma Linda University Shared Services is a religiously-qualified Equal Opportunity Employer under Title VII of Civil Rights Act of 1964. No question on this application is asked for the purpose of unlawfully limiting or excluding any applicant's consideration for employment because of race, color, religion, gender, age, national origin, disability, genetic information, or any other status protected by applicable law. If you need a reasonable accommodation in the hiring process, please notify Human Resource Management.

We appreciate your interest in Loma Linda and wish you success in your job search!

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About Loma Linda University Health

Sourced by ZipRecruiter

Loma Linda University Health (LLUH) is an esteemed healthcare organization situated in Loma Linda, California, US. Established in 1905, it was initially known as the College of Medical Evangelists, and it operated as the official medical institution of the Seventh-day Adventist Church until the name was changed to LLUH in 1961. LLUH is very much active in the healthcare and education sectors, providing a vast range of services such as medical treatment, research, and health education. The organization’s core mission is "to continue the teaching and healing ministry of Jesus Christ", which underlines its binding values of compassion, integrity, excellence, freedom, and justice.

Industry

Health care and social assistance and hospitality services

Company size

10,000+ Employees

Headquarters location

Loma Linda, CA, US

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