Director of AI & ML Engineering - Churn Reduction

Verizon; Irving (TX); Hybrid; USD 144,000 - 275,000; Full time

Benefits offered by this job

Hybrid work model

Health and wellness benefits

401(k) matching and holidays

Job summary

Verizon is seeking a seasoned data science leader to guide a team of propensity modelers within the base management organization. You will deploy data scientists across cross-functional pods and partner with marketing to drive microsegmentation and churn reduction.

You will establish modeling standards, lead enterprise governance, and present AI strategies to executives, bridging technical and business aims in a hybrid work environment.

Qualifications

• 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.

Responsibilities

• Lead a highly sophisticated team of propensity modelers to support the base management organization.
• Orchestrate deployment of data scientists across cross-functional base management pods.
• Partner with marketing and business leadership to deliver advanced machine learning and modeling capabilities.
• Establish modeling standards and governance across the enterprise.
• Lead cross-functional collaboration with stakeholders across business transformation, technology, finance, and analytics.
• Create and deliver executive presentations translating AI strategies into business outcomes.

Skills

People leadership

Data science

Predictive modeling

Churn mitigation

Executive communication

Agile delivery

Education

Bachelor's degree

Master's degree

Tools

Google Cloud Platform

AWS

Azure

Job description

Verizon is seeking a seasoned data science leader to guide a team of propensity modelers within the base management organization. You will deploy data scientists across cross-functional pods and partner with marketing to drive microsegmentation and churn reduction.

You will establish modeling standards, lead enterprise governance, and present AI strategies to executives, bridging technical and business aims in a hybrid work environment.