Director, AI & Machine Learning Engineering

Verizon

Verizon AI engineering director leading propensity modeling and data science teams. Driving customer microsegmentation, personalization, and churn reduction through machine learning.

Posted 8/14/2026full-timeBasking Ridge • New Jersey, Texas • 🇺🇸 United StatesLead💰 $143,500 - $275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data science teams and implementing advanced propensity modeling and machine learning strategies to enhance customer lifecycle management and reduce churn. Proficient in executive communication, translating complex AI concepts into actionable business insights.

Highest-signal resume keywords

Advanced Propensity ModelingMachine Learning AlgorithmsCustomer Lifecycle MarketingAgile Delivery FrameworksExecutive Communication

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data SciencePredictive ModelingProcess AutomationModel GovernanceMicrosegmentationHyper-PersonalizationStatistical AnalysisQuantitative AnalysisChurn Mitigation StrategiesTechnical Training

Soft Skills

LeadershipCollaborationStorytellingTalent DevelopmentResource Management

Tools & Technologies

Google Cloud PlatformAWSAzure

Certifications & Qualifications

Master's Degree in Data SciencePhD in Data Science

Industry Keywords

Base ManagementCustomer ChurnAgile Pod ModelEnterprise Modeling StandardsBusiness Transformation

Tech Stack

Tools & technologies

AWSAzureCloudGoogle Cloud Platform

About the role

Key responsibilities & impact

Lead a sophisticated team of propensity modelers supporting the base management organization’s transition to an agile pod model
Lead the modeling chapter and deploy data scientists across cross-functional base management pods
Optimize customer lifecycle stages and critical trigger events
Partner with marketing and business leadership to deliver machine learning and modeling capabilities
Drive microsegmentation and hyper-personalization to reduce customer churn
Orchestrate strategic hiring, talent development, technical training, resource management, and process improvement
Establish, elevate, and audit enterprise modeling standards and governance
Lead collaboration with business transformation, technology, finance, and advanced analytics teams
Create and deliver executive presentations translating AI science strategies into business narratives

Requirements

What you’ll need

Bachelor's degree or four or more years of work experience
Ten or more years of relevant work experience
Experience leading teams of data scientists or predictive modelers
Experience with customer lifecycle marketing, base management, or churn mitigation strategies
Experience with agile delivery frameworks or pod-based operating models
Willingness to travel up to approximately 25% of the time
Master's degree or PhD in data science, statistics, computer science, or a related quantitative field preferred as an “even better” qualification
Expert-level knowledge of advanced propensity modeling, machine learning algorithms, and personalization architectures
Experience with large-scale cloud data platforms such as Google Cloud Platform, AWS, or Azure
Proficiency in enterprise-level modeling standards, model governance, and process automation frameworks
Executive communication and storytelling skills bridging technical AI concepts and commercial business outcomes

Benefits

Comp & perks

Medical, dental, vision, short-term and long-term disability insurance
Basic life insurance
Supplemental life insurance
AD&D insurance
Identity theft protection
Pet insurance
Group home and auto insurance
Matched 401(k) savings plan
Up to 8 company-paid holidays per year
Up to 6 personal days per year
Paid parental leave
Adoption assistance
Tuition assistance
Other incentives
Premium pay opportunities, including overtime, shift differential, holiday pay, and allowances
Up to 15 days of vacation per year for newly hired employees, increasing with additional service
Incentive-based compensation with potential to earn more