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Director Predictive Analytics Jobs in California

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$145K/yr

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ... Develop production-level predictive analytics into enterprise-grade APIs * Contribute to the design ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$145K/yr

The Swish Analytics team is seeking Data Engineers based in Europe to have a direct impact on the ... Develop production-level predictive analytics into enterprise-grade APIs * Contribute to the design ...

Swish Analytics

Data Engineer

San Francisco, CA · On-site +1

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... Develop production-level predictive analytics into enterprise-grade APIs * Contribute to the design ...

Swish Analytics

Data Engineer

San Francisco, CA · Remote

$160K/yr

The Swish Analytics team is seeking Data Engineers to have a direct impact on the infrastructure ... Develop production-level predictive analytics into enterprise-grade APIs * Contribute to the design ...

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All JobsPredictive Analytics JobsDirector Predictive Analytics JobsDirector Predictive Analytics Jobs in California

Director Predictive Analytics information

What are the key skills and qualifications needed to thrive as a director of predictive analytics?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analysts, data scientists, business analysts, and marketing analysts. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes using tools like statistical software and machine learning algorithms.

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

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What are the typical collaboration points for a director of predictive analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a director of predictive analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.

What are the most commonly searched types of Predictive Analytics jobs in California?

The most popular types of Predictive Analytics jobs in California are:

What cities in California are hiring for Director Predictive Analytics jobs?

Cities in California with the most Director Predictive Analytics job openings:

Director Predictive Analytics jobs near you

FVP, Predictive Analytics Management

Cake Mortgage Corp.

Chatsworth, CA

Full-time

Posted 9 days ago

Job description

Description

CAKE Mortgage is a cutting-edge wholesale mortgage lender specializing in Non-QM products. We're redefining the lending experience with innovative programs, streamlined processes, and a commitment to speed and precision. As we grow, we're looking for forward-thinking professionals who thrive in fast-paced, collaborative environments.


The First Vice President (FVP), Predictive Analytics Management is responsible for leading the company's enterprise-wide predictive analytics strategy to drive business growth, improve operational efficiency, and support data-driven decision-making. This executive partners with senior leadership across Sales, Operations, Credit, Risk, Finance, Marketing, and Technology to develop advanced analytical models, forecasting tools, and business intelligence solutions that optimize performance and enhance customer outcomes.


The ideal candidate is an experienced analytics leader with expertise in predictive modeling, machine learning, statistical analysis, and data strategy, preferably within the mortgage lending or financial services industry.


Key Responsibilities

  • Develop and execute the organization's predictive analytics strategy aligned with business objectives. 
  • Lead a team of data scientists, business analysts, and analytics professionals. 
  • Build predictive models that improve loan performance, customer acquisition, lead conversion, pricing, retention, and operational efficiency. 
  • Develop forecasting models for loan production, funding volumes, staffing, profitability, and market trends. 
  • Partner with executive leadership to provide actionable insights that support strategic decision-making. 
  • Collaborate with Sales, Capital Markets, Underwriting, Servicing, Risk, Finance, Marketing, and IT to identify analytical opportunities. 
  • Design and maintain executive dashboards and KPI reporting. 
  • Leverage AI, machine learning, and advanced statistical techniques to improve business outcomes. 
  • Monitor model performance and continuously refine predictive algorithms. 
  • Ensure data quality, integrity, governance, and security across enterprise      analytics platforms. 
  • Present findings and recommendations to executive leadership and board members. 
  • Stay current on emerging technologies, predictive analytics methodologies, and industry best practices. 
  • Support strategic initiatives including automation, digital transformation, and process optimization. 

Requirements

  • Bachelor's degree in Data Science, Statistics, Mathematics, Economics, Computer Science, Finance, or related field. 
  • Master's degree or MBA preferred. 
  • 12+ years of progressive experience in analytics, business intelligence, data science, or quantitative modeling. 
  • 7+ years leading high-performing analytics teams. 
  • Mortgage lending, banking, fintech, or financial services experience strongly preferred. 
  • Strong knowledge of predictive modeling, forecasting, machine learning, and statistical analysis. 
  • Experience with cloud data platforms and enterprise data architecture. 
  • Exceptional executive communication and presentation skills.


Why Join CAKE Mortgage?

  • Be part of a fast-growing company changing the game in Non-QM
  • Competitive compensation and performance-based bonuses
  • Collaborative and entrepreneurial culture
  • Opportunities for career advancement and innovation


Cake Mortgage does not tolerate discrimination of any type. Cake Mortgage offers equal employment opportunity to all qualified persons without regard to race, age, color, religion, sex/gender, gender identity, sexual orientation, marital status, medical condition, military or veteran status, national origin, ancestry, disability, or any other considerations made unlawful by Federal, State, or Local law. Cake Mortgage provides eligible and qualified employees with opportunities to advance. Cake Mortgage is an at will employer. Cake Mortgage is committed to providing employees with a work environment free of discrimination and harassment.

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