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

Product Management & Delivery * Own end-to-end delivery and lifecycle management of data products * Coordinate execution across teams and enterprise partners to ensure timely delivery. * Manage ...

... Decision Management - build and support of new predictive data models 2) Coding Transformation ... Big Data, Cloud Computing, High Performance Computing (GPUs) Experience: 5+ years related field

Experience with big data and distributed processing technologies such as Hadoop, Spark, and ... Ability to manage multiple projects and priorities in a fast-paced environment * Excellent ...

Experience with big data and distributed processing technologies such as Hadoop, Spark, and ... Ability to manage multiple projects and priorities in a fast-paced environment * Excellent ...

Sr. Engineer II - Software Design

Irvine, CA · Remote

$130K - $172K/yr

Proven experience in writing highly secure web applications, web design, core AWS web-enabling technologies, RESTful API design, and database design / management * UI/UX, big data analysis, data ...

Sr. Data Engineer (AI + AWS)

Irvine, CA · On-site

$122K - $147K/yr

Deploy and manage containerized data applications using Kubernetes (EKS) and Docker. * Develop data ... Big Data: PySpark, Apache Spark * Containers: Kubernetes, Docker * Databases: PostgreSQL, MySQL ...

Help with building big data deployment infrastructure, expert in building Data Sources that can ... Bachelor's degree in finance, Engineering, Analytics, or Information Management is required ...

Data Engineer III

Rancho Cucamonga, CA · Hybrid

$118K - $145K/yr

Integrate and manage data from multiple sources including APIs and external systems Development ... Experience with big data tools and distributed systems * Experience with ERD design and data ...

Be it core Java, full-stack Java, Web/UI designers, Big Data or Cloud or Mobility developers ... Partner with directors, producers, engineers, artists and other project managers. Plan, coordinate ...

Knowledge of data storage solutions like S3 and DynamoDB. * Familiarity with AWS security services such as KMS and Secret Manager. Mandatory Skills HTML/HTML5, Kafka, MongoDB, MySQL, Node.js, React ...

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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:
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.

Finance Data Solutions Lead

Capgroup

Irvine, CA • On-site

Full-time

Medical, Life, Retirement

Posted 18 days ago


Job description

"I can be myself at work."

You are more than a job title. We want you to feel comfortable doing great work and bringing your best, authentic self to everything you do. We value your talents, traditions, and uniqueness-and we're committed to fostering a strong sense of belonging in a respectful workplace.

We intentionally seek diverse perspectives, experiences, and backgrounds, investing in a culture designed to celebrate differences. We believe that belonging leads to better outcomes and a stronger community of associates united by our mission. At Capital, we live our core values every day: Integrity, Client Focus, Diverse Perspectives, Long-Term Thinking, and Community.

"I can influence my income."

You want to feel recognized at work. Your performance will be reviewed annually, and your compensation will be designed to motivate and reward the value that you provide. You'll receive a competitive salary, bonuses and benefits. Your company-funded retirement contribution will factor in salary and variable pay, including bonuses.

"I can lead a full life."

You bring unique goals and interests to your job and your life. Whether you're raising a family, you're passionate about where you volunteer, or you want to explore different career paths, we'll give you the resources that can set you up for success.

  • Enjoy generous time-away and health benefits from day one, with the opportunity for flexible work options

  • Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love

  • Access on-demand professional development resources that allow you to hone existing skills and learn new ones

"I can succeed as a Global Finance Data Solutions Lead at Capital Group."

As a Global Finance Data Solutions Lead, you will play a pivotal role in enabling Capital Group's strategic objectives through high-quality data products and reporting solutions. Operating within Digital Finance's product-focused, pod-based delivery model, you will lead the design, development, and delivery of scalable finance data solutions that provide critical insights and enhance operational excellence.

You will combine deep finance domain expertise with strong technical and analytical skills to translate complex business needs into impactful data products. Working with a high degree of independence, you will drive initiatives across cross-functional teams, including data governance, engineering, and analytics-to deliver trusted, performant, and reusable solutions that support decision-making across Global Finance.

You are an analytical thinker and analytical person who thrives at the intersection of finance and data. You bring a keen sense of ownership, the ability to work independently, and a passion for delivering high-impact data solutions. You excel at influencing without authority, building partnerships, and translating complexity into clarity.

"I am the person Capital Group is looking for."

Key Responsibilities:

Data Solutions Delivery (Data Products & Reporting)

  • Lead cross-functional pods to design, build, and maintain scalable Global Finance data products and standardized reporting solutions.
  • Translate complex analytical and business requirements into robust, reusable data solutions.
  • Deliver high-quality solutions that enable strategic insights and operational efficiency.
  • Ensure solutions are secure, dependable, performant, and aligned with enterprise data standards.
  • Drive user adoption through intuitive design, clear documentation, and alignment with business needs.

Product Management & Delivery

  • Own end-to-end delivery and lifecycle management of data products
  • Coordinate execution across teams and enterprise partners to ensure timely delivery.
  • Manage prioritization, dependencies, and risks with minimal guidance.
  • Apply product management to best practices to drive scalable, efficient solutions.
  • Support management activities including training, rollout, and stakeholder adoption.

Communication & Storytelling

  • Develop clear, data-driven recommendations tailored to technical and business audiences, including senior leadership.
  • Translate complex data insights into compelling narratives and visualizations.
  • Adapt messaging for different audiences balancing technical accuracy with clarity.
  • Mentor junior analysts in communication and data storytelling.

Business & Finance Partnership

  • Demonstrate strong understanding of finance processes, metrics, and decision frameworks.
  • Partner with finance stakeholders to solve complex analytical and operational challenges.
  • Identify trends, insights, and opportunities through data products.
  • Ensure alignment to enterprise metrics, definitions, and strategic outcomes.

Leadership & Collaboration

  • Lead moderately to complex initiatives with a high degree of independence.
  • Provide technical leadership and mentor less experienced team members.
  • Foster collaboration across global, cross-functional teams
  • Champion modern tools, platforms, and innovative ways of working within Digital Finance

Qualifications:

Required:

  • Bachelor's degree in finance, Accounting, Data, Technology, or related field
  • 5 to 10 years of experience in data, analytics, or finance technology roles
  • Proven experience delivering complex data products or reporting solutions.
  • Strong knowledge of finance processes (e.g., FP&A, accounting, financial reporting)
  • Experience working with cross-functional teams in a product or agile delivery model.
  • Strong stakeholder management and communication skills
  • Ability to operate independently in a fast-paced, dynamic environment.

Preferred:

  • Experience supporting finance data domains (foundational data or reporting data)
  • Familiarity with modern data platforms, cloud technologies, or analytics tools
  • Exposure to data governance practices and enterprise data standards
  • Prior experience mentoring or leading analysts within a team or pod structure.
  • Background in financial services or asset management

Core Skills & Attributes:

  • Analytical & Critical Thinking
  • Data Literacy & Data Governance
  • Business & Financial Acumen
  • Strategic Thinking & Problem Solving
  • Cross-Team Collaboration
  • Digital Agility
  • Project & Product Management

"I can apply in less than 4 minutes."

You've reviewed this job posting and you're ready to start the candidate journey with us. Apply now to move to the next step in our recruiting process. If this role isn't what you're looking for, check out our other opportunities and join our talent community.

"I can learn more about Capital Group."

At Capital Group, the success of the people who invest with us depends on the people in whom we invest. That's why we offer a culture, compensation and opportunities that empower our associates to build successful and prosperous careers. Through nine decades, our goal has been to improve people's lives through successful investing. We know that our history is a testament to the strength of the people we hire. More than 9,000 associates in 30+ offices around the world help our clients and each other grow and thrive every day. Find us on LinkedIn, Instagram, YouTube and Glassdoor.

Southern California Base Salary Range: $111,920-$179,072

In addition to a highly competitive base salary, per plan guidelines, restrictions and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

You can learn more about our compensation and benefits here.

* Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.


We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.