ZipRecruiter

Log In

1

Model Validation Manager Jobs in California (NOW HIRING)

Deloitte

AI Governance Manager

Los Angeles, CA · On-site

Experience with Trustworthy AI, AI governance, model validation, or AI regulatory risk management ... Experience serving clients in the Technology, Media & Telecommunications industry * Experience ...

Deloitte

AI Governance Manager

San Francisco, CA · On-site

Experience with Trustworthy AI, AI governance, model validation, or AI regulatory risk management ... Experience serving clients in the Technology, Media & Telecommunications industry * Experience ...

previous pagenext page

Showing results 21-40

All JobsModel Validation JobsModel Validation Manager JobsModel Validation Manager Jobs in California

Model Validation Manager information

See California salary details

$46.9K

$104K

$158.4K

How much do model validation manager jobs pay per year?

As of Sep 11, 2026, the average yearly pay for model validation manager in California is $104,035.00, according to ZipRecruiter salary data. Most workers in this role earn between $73,500.00 and $130,300.00 per year, depending on experience, location, and employer.

What does a model validation manager do?

A Model Validation Manager is responsible for overseeing the validation of financial, risk, or predictive models within an organization. Their primary duties include ensuring that models are accurate, reliable, and compliant with regulatory requirements. They lead teams that assess model performance, identify potential weaknesses, and recommend improvements. This role helps maintain the integrity of models used in decision-making processes, particularly in industries like banking and finance.

What skills and qualifications are needed to be a model validation manager?

To thrive as a Model Validation Manager, you need strong quantitative analysis skills, knowledge of risk management, and an advanced degree in mathematics, statistics, finance, or a related field. Familiarity with technical tools such as Python, R, SAS, and model risk management frameworks, as well as experience with regulatory compliance, is typically required. Exceptional problem-solving, communication, and stakeholder management abilities are important soft skills for this role. These skills ensure effective validation of financial models, regulatory compliance, and clear communication of complex findings to non-technical audiences.

How does a model validation manager collaborate with other teams during the model validation process?

A Model Validation Manager works closely with model developers, risk management teams, and internal audit to ensure models meet regulatory and business standards. Collaboration often involves reviewing model documentation, discussing model assumptions and methodologies, and providing feedback for improvements. Effective cross-functional communication is essential, as validation managers must balance technical analysis with regulatory compliance and business objectives. Regular meetings and clear reporting lines help facilitate this collaboration, ensuring that model risks are identified and addressed promptly.

What is the difference between Model Validation Manager vs Quantitative Analyst?

AspectModel Validation ManagerQuantitative Analyst
CredentialsTypically requires advanced degrees in finance, mathematics, or statistics; certifications like CFA or FRM are commonOften holds degrees in finance, economics, or mathematics; certifications like CFA are also common
Work EnvironmentWorks in risk management, model validation teams within banks or financial institutionsWorks in trading, investment analysis, or risk departments within financial firms
Industry UsagePrimarily in banking, asset management, and financial services for model risk assessmentAcross investment firms, hedge funds, and banks for market analysis and trading strategies

The Model Validation Manager focuses on reviewing and validating financial models to ensure accuracy and compliance, often working within risk management teams. In contrast, a Quantitative Analyst develops and applies mathematical models for trading, investment, or risk purposes. While both roles require strong quantitative skills and similar credentials, their core responsibilities and work environments differ significantly.

What are the most commonly searched types of Model Validation jobs in California?

The most popular types of Model Validation jobs in California are:

What are popular job titles related to Model Validation Manager jobs in California?

For Model Validation Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Model Validation Manager jobs in California look for?

The top searched job categories for Model Validation Manager jobs in California are:

What cities in California are hiring for Model Validation Manager jobs?

Cities in California with the most Model Validation Manager job openings:

Model Validation Manager jobs near you
Infographic showing various Model Validation Manager job openings in California as of September 2026, with employment types broken down into 83% Full Time, and 17% Temporary. Highlights an 66% In-person, 17% Hybrid, and 17% Remote job distribution, with an average salary of $104,035 per year, or $50 per hour.

Principal Marketing Manager - Expert Voice & Insights

San Diego, CA • On-site

Intuit
Computer and Electronic Product Manufacturing • 5 - 10K employees
Learn more about Intuitexternal

Full-time

This job post has expired 1 day ago. Applications are no longer accepted.

Key responsibilities

  • Architect and execute global listening, surveying, and feedback strategies for the Expert Network to drive continuous product and service improvements.

  • Lead and scale Immersive Experience Studios to facilitate collaboration between product teams and experts through live simulations and testing grounds.

  • Translate qualitative and quantitative data into insights, and act as a bridge to influence product roadmaps by turning expert feedback into actionable requirements.

Intuit rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

Job description

OverviewRole Overview

This role sits in Intuit’s Expert Network—the thousands of tax, bookkeeping, and financial professionals who deliver confidence to millions of TurboTax and QuickBooks customers. We are seeking a visionary Principal Marketing Manager of Expert Voice & Insights to lead our global expert listening, insights, and AI model validation strategy. In this highly cross-functional role, you will hold an incredibly high bar for "insights-to-action." You aren't just capturing feedback; you are architecting the feedback loops that ensure we are driving continuous improvement of our products and services.

The Principal Marketing Manager of Expert Voice & Insights will lead our Immersive Experience Studios, run complex listening and surveying architectures, internal engagement campaigns, and partner with Product and Tech teams to ensure our experts are equipped with world-class tools to delight customers.This leader will direct the comprehensive feedback loops that turn deep qualitative and quantitative employee sentiment into product enhancement recommendations, all while keeping experts in the loop.


Responsibilities

Key Responsibilities

 

Spearhead the Voice of the Expert (VOE) & Insights Strategy

  • End-to-End Listening Architecture: Architect and execute the global surveying, pulse-taking, and deep-dive listening strategies for the entire Expert Network. Accountable for tracking and increasing Expert Engagement Scores.
  • Immersive Experience Studios: Lead and scale our Immersive Experience Studios, creating interactive testing grounds where product teams and experts collaborate live to simulate real-world workflows.
  • Continuous Improvement Culture: Synthesize complex qualitative themes and quantitative survey data into rigorous, executive-ready insights that champion the expert perspective.

 

Influence Product & Engineering Roadmaps


  • Insights-to-Action Pipeline: Act as the ultimate bridge between frontline experts and the Product Management organization. Translate complex expert friction points into clear, actionable product requirements.
  • Feature Accountability & Adoption: Partner with the Expert Readiness and Change Management teams to integrate expert user acceptance testing frameworks. Champion the successful implementation and shipping of top VOE feedback themes directly into our core product and platform backlogs to maximize Expert Adoption.
  • Readiness Optimization: Ensure experts feel equipped, trained, and confident in the stability and feature-completeness of internal tools before peak seasons.

 

Drive the AI + HI "Experts-in-the-Loop" Model Validation Program


  • Experts-in-the-Loop Governance: Lead the newly formed Expert AI Model Validation team, establishing frameworks that leverage our human network to evaluate, stress-test, and refine Intuit’s generative AI capabilities.
  • Future of Work Stewardship: Position our experts not just as software users, but as the foundational trainers of our global financial intelligence engine.

 

Success Metrics & Ownership
  • Expert Engagement Score (Tracking and increasing overall expert network sentiment)
  • Tools Readiness Score (Expert tool confidence and readiness)
  • VOE Implementation & Adoption Rate (Percentage of high-priority expert feedback themes successfully resolved via shipped product features or workflow optimizations, adoption of AI expert tools)

Qualifications

Qualifications

 

Experience & Domain Expertise


  • 10–12+ years of experience across Product Marketing, Employee Experience/Listening, Workforce Insights, or Strategy Operations within a high-growth tech or product ecosystem.
  • Proven Listening Track Record: Demonstrated success building large-scale, continuous employee/user listening platforms and surveying infrastructure/methodology with high customer empathy.
  • AI/Technical Literacy: Strong comfort navigating discussions around AI models, algorithmic validation, or technology transformations. Experience working with machine learning or AI workflows is a major plus.
  • Education: Bachelor’s Degree in Marketing, Business Administration, Cognitive Science, Psychology, Data Analytics, or a related field. (Master's or equivalent experience preferred).

 

Leadership & Influence

  • Executive Presence & Matrix Navigation: Exceptional ability to advocate for operational changes and product investments across multiple teams, business units, and engineering functions.
  • High Bar for Rigor: A clear history of turning data into compelling business narratives that alter executive mindsets and resource allocations.
  • Empathy-Driven Strategy: Deep passion for customer and employee empathy, aligning beautifully with Intuit’s core values and culture.
  • Team Leadership: Galvanize the team and key stakeholders around the strategy and set them up for seamless execution.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: 



The expected base pay range for this position is:
San Diego $191,000 - $258,500

What Intuit employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply