Director Marketing Analytics

Newrez; Coppell (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Newrez in Coppell, TX seeks a Director of Marketing Analytics to lead predictive modeling, segmentation, and marketing experimentation, translating results into campaign actions.

The role blends marketing leadership with hands-on data science, overseeing a team, driving A/B and multivariate tests, and ensuring regulatory compliance. You will collaborate to optimize acquisition, retention, and pipeline performance.

Qualifications

• 8+ years of experience in marketing analytics or related field.
• 3+ years of supervisory experience.
• Demonstrated experience building predictive/ML models and leading structured experimentation in marketing.

Responsibilities

• Performs data analytics to generate insights for marketing and volume; creates visualizations and reports.
• Monitor health of marketing contribution to pipeline, acquisition and penetration.
• Evaluate data science tooling, platforms, and infrastructure for scalable modeling and experimentation.
• Design, build, and maintain predictive and ML models driving marketing decisions.
• Own the marketing experimentation function: design, execute, govern A/B and multivariate tests.
• Partner with leadership to operationalize model outputs into segmentation and campaign execution.
• Drive process excellence to ensure compliance.
• Lead strategic initiatives across business units.
• Perform personnel managerial duties such as goal setting and coaching.

Skills

Marketing analytics

Data science

Predictive modeling

ML models

A/B testing

Team leadership

Communication

Education

Bachelor's degree in Marketing or related field

Business degree

Tools

Tableau

Job description

The Director Marketing Analytics is responsible for marketing campaign segmentation for predictive modeling, test-and-learn experimentation, and marketing analytics that inform acquisition, retention, and pipeline performance. This person brings a strong marketing background paired with hands-on data science depth, and partners closely with the Director, Marketing Analytics – Campaign Strategy to translate models and experiment results into campaign execution. This person will possess a unique blend of business ownership, marketing analytics, leadership, agility, and communication skills and will have a passion for data, metrics, and experimentation.

DESCRIPTION

Essential Functions, Duties, and Responsibilities

• Performs data analytics to generate insights for enhancing marketing and volume. Will also create visualization of the insights and report through various tools like Tableau.
• Actively monitor, analyze and report on the health of marketing contribution to pipeline, customer acquisition and penetration.
• Evaluate and recommend data science tooling, platforms, and infrastructure to support scalable modeling and experimentation.
• Design, build, and maintain predictive and machine learning models (propensity, attrition, response, attribution) that drive marketing acquisition, retention, and pipeline decisioning.
• Own the marketing experimentation function: design, execute, and govern A/B and multivariate tests, ensuring statistical rigor and clear go/no-go recommendations.
• Partner with the Director, Marketing Analytics – Campaign Strategy to operationalize model outputs and test results into campaign segmentation, contact strategy, and dialer execution.
• Constantly drive process excellence to ensure legal, regulatory compliance.
• Drive strategic initiative across organization for multiple business units.
• Perform personnel managerial duties such as goal setting and tracking, performance monitoring and coaching, ensuring associate engagement, and other typical managerial duties.
• Performs related duties as assigned by management.

Qualifications and Education Requirements

• Bachelor's degree in marketing, Business, or related field.
• 8+ years’ experience in related field.
• 3+ years’ prior supervisory experience.
• Demonstrated experience building predictive/ML models and leading structured experimentation (A/B, multivariate) in a marketing context