Director Marketing Analytics

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.

• 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.

• 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