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Chief Data Analytics Jobs in Riverside, CA (NOW HIRING)

CIO

Irvine, CA · On-site

$350K/yr

CIO Position Summary: Seeking a customer-centric, business-minded technology leader to elevate how ... Applications, Data & Analytics: Oversee application development, integrations, and advanced ...

CHIEF TECHNOLOGY OFFICER

Walnut, CA · On-site

$180 - $260/hr

Data governance, analytics, and data-informed decision making * Project and program management ... Chief Technology Officer Mentor Program (CTOM) certification or equivalent leadership-focused ...

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Chief Data Analytics information

See Riverside, CA salary details

$34.4K

$129.8K

$209.2K

How much do chief data analytics jobs pay per year?

As of Aug 1, 2026, the average yearly pay for chief data analytics in Riverside, CA is $129,792.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,000.00 and $152,300.00 per year, depending on experience, location, and employer.

How much does a chief data analyst make?

A chief data analyst typically earns between $80,000 and $150,000 annually, depending on experience, industry, and location. Senior roles may include bonuses and benefits, and proficiency in data tools like SQL and Python can influence salary levels.

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

To thrive as a Chief Data Analytics, you need advanced expertise in data science, statistical analysis, and business intelligence, often supported by a master's or doctoral degree in a quantitative field. Familiarity with analytics platforms (such as Tableau, Power BI), big data tools (like Hadoop, Spark), and programming languages (Python, R), as well as certifications in data analytics or management, are typically required. Strategic thinking, strong leadership, and effective communication skills are essential to bridge the gap between technical teams and business stakeholders. These competencies are crucial for driving data-driven decision-making, aligning analytics initiatives with organizational goals, and delivering measurable business value.

How does a Chief Data Analytics professional typically collaborate with other departments to drive data-driven decision making?

As a Chief Data Analytics professional, you'll work closely with leaders from departments such as marketing, finance, operations, and IT to identify key business challenges and opportunities where data can provide actionable insights. Regular cross-functional meetings, workshops, and data strategy sessions are common to ensure alignment on goals and data priorities. You'll also guide teams on best practices for data collection, analysis, and interpretation, fostering a culture of data-driven decision making throughout the organization. Building strong relationships and maintaining clear communication with stakeholders is essential to drive successful analytics initiatives and support organizational growth.

What is the highest paying job in data analytics?

The highest paying roles in data analytics are often senior positions such as Chief Data Officer or Data Science Director, which require extensive experience, advanced skills in machine learning and big data tools, and often involve strategic decision-making responsibilities. These roles can offer salaries exceeding $150,000 annually, depending on the industry and location.

What does a Chief Data Analytics Officer do?

A Chief Data Analytics Officer (CDAO) is responsible for overseeing an organization's data strategy, analytics initiatives, and data-driven decision making. They lead teams that collect, analyze, and interpret data to support business goals and drive innovation. The CDAO ensures that data governance, quality, and privacy standards are met, while also promoting a data-centric culture across the company. Their work helps organizations leverage data assets to gain competitive advantage and improve performance.

What is a CDO salary?

A Chief Data Officer (CDO) salary varies based on experience, industry, and location but typically ranges from $150,000 to over $300,000 annually. CDOs often have strong backgrounds in data management, analytics, and leadership, and may receive bonuses or stock options as part of their compensation package.

What is the difference between Chief Data Analytics vs Data Analyst?

AspectChief Data AnalyticsData Analyst
CredentialsAdvanced degrees (Master's, PhD), certifications in data management and analyticsBachelor's or Master's in Data Science, Statistics, or related fields
Work EnvironmentStrategic leadership, overseeing analytics teams, executive collaborationData analysis, reporting, and visualization tasks, often under supervision
Employer & Industry UsageUsed in large organizations, tech firms, finance, healthcareCommon across various industries, including retail, marketing, finance

Chief Data Analytics focuses on strategic leadership, managing analytics teams, and aligning data initiatives with business goals. Data Analysts perform hands-on data analysis, reporting, and visualization. Both roles require strong analytical skills, but the Chief Data Analytics role involves higher-level decision-making and leadership responsibilities.

What does a chief data analyst do?

A chief data analyst is responsible for analyzing complex data sets to identify trends and support strategic decision-making within an organization. They develop data models, create reports, and use tools like SQL and data visualization software to communicate insights to stakeholders. Strong analytical skills and knowledge of data management are essential for this role.
What are popular job titles related to Chief Data Analytics jobs in Riverside, CA? For Chief Data Analytics jobs in Riverside, CA, the most frequently searched job titles are:
What job categories do people searching Chief Data Analytics jobs in Riverside, CA look for? The top searched job categories for Chief Data Analytics jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Chief Data Analytics jobs? Cities near Riverside, CA with the most Chief Data Analytics job openings:

Senior Vice President, Data Strategy & Analytics

Learfield

Irvine, CA

$250K - $300K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago

New


Learfield rating

8.4

Company rating: 8.4 out of 10

Based on 10 frontline employees who took The Breakroom Quiz

6th of 50 rated marketing agency


Job description

We are the leading media and technology company powering college athletics- holding the largest first-party college athletics fan database in the world. Our platform connects fans, schools, and brand partners across the full fan journey, creating a powerful data ecosystem spanning ticketing, fundraising, digital engagement, sponsorship, marketing, and fan behavior. As Learfield continues to invest in data and AI, we are seeking a strategic executive to transform this unmatched data asset into a competitive advantage. The Senior Vice President, Data Strategy & Analytics will define our enterprise data strategy, accelerate commercialization through data products and AI, and deliver actionable insights that strengthen relationships with school partners, empower sponsorship sales, and drive measurable business growth.

Essential Duties & Responsibilities:

Strategy & Leadership

  • Partnerwith the Chief Data & Technology Officer and our corporate strategy team to define and execute Learfield's enterprise data strategy, aligning data, AI, engineering, and product investments with business growth and client outcomes.
  • Lead, develop and evolvea team of 15+ across product managers, data engineers, and BI analysts -while evaluating organizational structure and capabilities to support future growth.
  • Effectively partner with executive, product, sales, and client-facing teams to translate data capabilities into commercial value and competitive differentiation.

Data Architecture & Platform

  • Own and evolve Learfield's enterprise data platform spanning fan identity, ticketing, donations, digital engagement, sponsorship, campaign, and marketing data to create a scalable foundation for analytics, activation, and commercialization.
  • Establish strong data governance, quality, privacy, and compliance practices appropriate for handling large volumes of consumer and transactional data.
  • Build and operate data clean rooms to enable secure, privacy-safe data collaboration with sponsors, partners, and clients.

Drive Data & Products With Commercial Impact

  • Drive a product-led approach to data by developing scalable products that create measurable value for schools, brand partners, sponsorship sales, and internal stakeholders.
  • Advance audience segmentation and personalization capabilities that improve fan engagement, ticket sales, fundraising, sponsorship activation, and digital marketing performance
  • Leverage data to unlock new sponsorship opportunities, improve campaign measurement, enable premium sponsorship pricing, and create new revenue opportunities for Learfield and its partners.
  • Deliver analytics and BI that quantify fan engagement and revenue generation and clearly demonstrate ROI to clients.
  • Serve as a senior, credible voice with strategic clients and partners on data strategy, capabilities, and value.
  • Guide the team to build native-AI sematic layers across disparate datasets leveraging agentic AI - LLM-powered interfaces, natural-language querying, and intelligent data services that make insights accessible to non-technical users.
  • Define the common data model and semantic layer that connects fan, ticketing, donation, campaign, web, email, and partner data into trusted metrics, reusable segments, and activation-ready audiences.

Minimum Qualifications:

  • 15+ years of experience in data, analytics, or data engineering, including significant time in senior leadership roles.
  • Demonstrated experience building and leading multidisciplinary teams (engineering, product, and analytics) of people across both enterprise data architecture and data products - not just one or the other.
  • Hands-on experience with leading cloud data providers such as Snowflake or Databricks is required.
  • Experience applying LLMs and other AI-native approaches to make data accessible and actionable.
  • Demonstrated success using data to power personalization, fan/customer engagement, and revenue generation.
  • Strong grounding in data governance, privacy, and security for large-scale consumer and transactional data.
  • Excellent executive communication and stakeholder management, including client-facing experience.

Preferred Qualifications:

  • Hands-on familiarity with data clean rooms and privacy-safe data collaboration.
  • Experience in live events, sports, ticketing, fundraising/donations, or college athletics.
  • Background in ad tech, MarTech, and/or sponsorship measurement.
  • Experience commercializing data products in a B2B software environment.

Pay Transparency:

The approximate national base pay range for this position is $250,000 to $300,000. Please note that this is a good faith estimate for the position at the time of posting. Individuals may also be eligible for an annual discretionary bonus and/or sales compensation based on individual and company performance. Placement on the range may vary based on factors including but not limited to job-related knowledge, skills, and experience, and geographic location. The pay rate will comply with all minimum federal, state, and local wage/salary requirements.

Learfield offers a full spectrum of benefits for eligible employees including Medical, Dental, Vision, Health Savings Account, Life Insurance and Other Insurance Plans, Flexible Paid Time Off (minimum 10+ days annually), including Parental Leave, 20 Paid Holidays, 401(k) + Match, and Short/Long Term Disability. Leave benefits are consistent with state and local laws, including the Colorado Health Families and Workplaces Act.

Learfield is an Equal Opportunity Employer. We provide equal employment opportunities to applicants and employees without regard to race; color; sex; gender identity; sexual orientation; religious practices and observances; national origin; pregnancy, childbirth, or related medical conditions; status as a protected veteran or spouse/family member of a protected veteran; or disability.


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