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Associate Director Analytics Jobs in Riverside, CA

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Associate Director Analytics information

See Riverside, CA salary details

$11.5K

$124.1K

$184.1K

How much do associate director analytics jobs pay per year?

As of Jun 10, 2026, the average yearly pay for associate director analytics in Riverside, CA is $124,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,300.00 and $159,600.00 per year, depending on experience, location, and employer.

What is the difference between Associate Director Analytics vs Data Scientist?

AspectAssociate Director AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Analytics, Statistics, or related field; often some management experienceTypically a Master's or PhD in Data Science, Statistics, or related field
Work EnvironmentLeads analytics teams, collaborates with senior management, oversees projectsFocuses on data modeling, algorithm development, and data analysis
Employer & Industry UsageCommon in corporate, healthcare, finance sectorsWidely used across tech, finance, and research organizations
Search & Comparison IntentOften compared for leadership roles in analytics teamsCompared for technical expertise and data modeling skills

The Associate Director Analytics typically combines leadership with advanced analytics skills, overseeing teams and strategic projects. Data Scientists focus more on technical data modeling and analysis. Both roles require strong analytical credentials, but the Associate Director often has managerial responsibilities, making it a step towards senior leadership in analytics.

What does an Associate Director of Analytics do?

An Associate Director of Analytics leads teams responsible for analyzing data to drive business decisions and strategies. They oversee the development and implementation of analytical frameworks, manage data projects, and ensure the accuracy and usefulness of insights provided to stakeholders. This role typically involves close collaboration with other departments, mentoring analysts, and helping to define key performance indicators and reporting processes. Associate Directors of Analytics play a crucial role in transforming data into actionable intelligence to support organizational goals.

How does an Associate Director of Analytics typically collaborate with other departments within an organization?

An Associate Director of Analytics often works closely with departments such as marketing, finance, product management, and operations to understand their data needs and deliver actionable insights. They facilitate cross-functional meetings to align analytics initiatives with business objectives and ensure data-driven decision-making. Effective communication and stakeholder management are key, as the role requires translating complex analytical findings into clear recommendations for both technical and non-technical audiences.

What are the key skills and qualifications needed to thrive as an Associate Director Analytics, and why are they important?

To thrive as an Associate Director Analytics, you need advanced analytical skills, a solid background in statistics or data science, and experience managing analytics projects, typically supported by a relevant degree and several years in the field. Familiarity with tools like SQL, Python, R, data visualization platforms (e.g., Tableau, Power BI), and knowledge of data governance frameworks are commonly required. Strong leadership, strategic thinking, and the ability to communicate complex insights to non-technical stakeholders are vital soft skills. These abilities are crucial for driving data-informed decision-making and leading high-performing analytics teams that align with organizational goals.
What job categories do people searching Associate Director Analytics jobs in Riverside, CA look for? The top searched job categories for Associate Director Analytics jobs in Riverside, CA are:
What cities near Riverside, CA are hiring for Associate Director Analytics jobs? Cities near Riverside, CA with the most Associate Director Analytics job openings:
Associate Director Analytics jobs near you

Associate Director, Analytics - Construction, California

Brillio

Irvine, CA • On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 17 days ago

Job description

Role Brief:

We are seeking a highly versatile and client-facing Associate Director, Analytics to drive AI and analytics transformation initiatives for strategic clients in the construction and built-environment domain. This role blends the responsibilities of a product owner, analytics consultant, solution architect, and hands-on technology leader. 

The ideal candidate is someone who began their career as a strong hands-on engineer/coder and has evolved into a consulting-led leadership role capable of owning business outcomes, shaping AI products, engaging senior stakeholders, and leading cross-functional delivery teams. 

This individual will work at the intersection of AI/ML and analytics strategy, construction domain workflows and operational intelligence, product ownership and stakeholder management, data engineering and application architecture and full-stack AI solution delivery.  

The role requires both strategic thinking and technical depth, with the ability to translate ambiguous business problems into scalable AI-enabled products and platforms. 

Responsibilities:
  • Act as the primary AI/Analytics Product Owner for client engagements within the construction domain.
  • Partner with client business stakeholders to identify high-value AI, analytics, automation, and optimization opportunities.
  • Define product vision, roadmap, KPIs, feature prioritization, and release planning for AI-enabled platforms and solutions.
  • Drive discovery workshops, problem framing sessions, and use-case prioritization exercises.
  • Translate business problems into scalable data, analytics, and AI solution architectures.
  • Own stakeholder communication, executive reporting, and strategic advisory discussions.
  • Lead development of AI/ML-driven solutions involving Computer Vision, OCR/document intelligence, LLM and GenAI applications, Predictive analytics, Operational optimization, Recommendation systems
  • Define AI solution strategy, experimentation approach, evaluation metrics, and product ionization plans.
  • Guide teams on model selection, data strategy, feature engineering, and deployment approaches.
  • Establish scalable AI governance, monitoring, and feedback-loop mechanisms.
  • Provide technical leadership across: Data Engineering, Backend/API development, Full-stack application architecture, Cloud-native analytics platforms, BI and visualization ecosystems
  • Collaborate with engineering teams to design scalable architectures and integration patterns.
  • Review technical designs, APIs, pipelines, and engineering implementation approaches.
  • Ensure alignment between product vision and technical execution.
  • Act as a trusted advisor to client leadership teams.
  • Lead requirement discussions, solution walkthroughs, demos, and steering committee updates.
  • Drive cross-functional collaboration across business, data science, engineering, and UX teams.
  • Manage delivery governance, prioritization, risks, dependencies, and execution tracking.
  • Mentor teams and foster a strong engineering and innovation culture.
Requirements:
  • 10-15+ years of experience across analytics, AI/ML, data engineering, and enterprise application delivery.
  • Prior experience in consulting, analytics advisory, or client-facing transformation programs.
  • Strong experience acting as AI Product Owner, Analytics Lead, Solution Architect, Technical Program Lead.
  • Early career experience as a hands-on software engineer/developer is mandatory.
  • Experience working with construction, engineering, manufacturing, industrial, or built-environment clients is strongly preferred.
  • Knowledge of Analytics & AI.
  • Strong understanding of Machine Learning, Deep Learning, GenAI/LLM ecosystems, NLP and Computer Vision, Predictive analytics, Statistical modelling.
  • Experience with AI product lifecycle management and production AI systems.
  • Strong knowledge of Data pipelines and ETL/ELT, Data warehousing/Lakehouse architectures, Streaming and batch processing, SQL and distributed data processing
  • Experience with modern cloud data ecosystems.
  • Strong backend engineering foundation with experience inPython / Node.js / Java, REST APIs and microservices, Event-driven systems
  • Understanding of modern frontend and full-stack application architecture.
  • Ability to collaborate effectively with UX/UI and product engineering teams.
  • Experience with enterprise BI and reporting ecosystems.
  • Ability to drive executive dashboards, KPI frameworks, and operational analytics solutions.
  • Familiarity with Azure/ preferably GCP ecosystems.
  • Understanding of CI/CD, MLOps, containerization, and deployment strategies.
Desired Candidate Profile:
  • Combines consulting mindset with strong technical depth.
  • Can move seamlessly between business discussions and technical architecture conversations.
  • Has strong ownership, entrepreneurial mindset, and product thinking.
  • Is comfortable working in ambiguity and building 0-to-1 AI solutions.
  • Can challenge assumptions and influence executive stakeholders.
  • Has credibility with both engineering teams and business leaders.
  • Is hands-on enough to review code/designs while operating at leadership level.
  • Demonstrates strong communication, storytelling, and workshop facilitation skills.
 
Preferred Background:
  • Construction technology (ConTech)
  • Blueprint/document intelligence
  • Estimation or procurement analytics
  • BIM/CAD data workflows
  • AI-powered operational platforms
  • Industrial AI or field operations analytics
  • Digital transformation consulting
Education:
  • Bachelor's or Master's degree in Engineering, Computer Science, Data Science, Analytics, or related field.
  • MBA or equivalent consulting/product management exposure is a plus.
Benefits:

Brillio offers a comprehensive benefits program for this position, subject to applicable eligibility requirements:

Medical, Dental, and Vision Insurance with multiple plan options
Health Savings Account (HSA) with Brillio employer contributions and Flexible Spending Accounts (FSA)
Company-paid Life Insurance and Accidental Death & Dismemberment (AD&D) coverage
Short-Term and Long-Term Disability coverage
401(k) retirement savings plan 
Flexible Paid Time Off (Flexi-PTO) and paid company holidays
Paid Parental Leave including maternity, parental bonding, adoption, and surrogacy benefits
Employee Assistance Program (EAP) and wellness resources
Learning and Development programs including training and certification support
Student Loan Contribution Program for eligible employees
Employee discount and wellness programs including fitness, lifestyle, and family support benefits
Backup care support for children, elder care, and pets
Additional voluntary benefits including legal services, accident coverage, critical illness coverage, and pet insurance  

$144,000 - $198,000 a year
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting and is location specific. Brillio reserves the right to modify this information at any time, based on applicable policy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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