Director, AI & Machine Learning Engineering

Verizon Communications; Basking Ridge (NJ); Hybrid; USD 144,000 - 275,000; Full time

Benefits offered by this job

Group health and life insurance

401(k) plan

Paid holidays

Parental leave

Tuition assistance

Job summary

Verizon Communications seeks a director-level AI & Machine Learning Engineering leader in a hybrid role based in Basking Ridge, NJ and Irving, TX. You will guide a team of data scientists, drive propensity modeling initiatives, and partner with marketing to deliver advanced ML capabilities that reduce churn.

The role emphasizes cross-functional collaboration, governance, and scalable AI strategies, with travel up to 25% and an emphasis on translating complex AI concepts into actionable business

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 agile delivery frameworks or pod-based operating models.

Responsibilities

• Lead a highly sophisticated team of propensity modelers to support the base management organization as it transitions to an agile pod model.
• Orchestrate deployment of data scientists across cross-functional base management pods for customer lifecycle stages and trigger events.
• Partner with marketing and business leadership to deliver advanced modeling capabilities for microsegmentation and personalization to reduce churn.
• Establish and audit modeling standards and governance across the enterprise for accuracy and business impact.
• Create and deliver executive presentations translating AI concepts into business narratives.

Skills

Data science leadership

Predictive modeling

Machine learning

Churn mitigation

Agile delivery

Executive communication

Education

Bachelor's degree or equivalent professional experience

Ten+ years of relevant work experience

Tools

Google Cloud Platform

AWS

Azure

Job description

Director, AI & Machine Learning Engineering

• Basking Ridge, New Jersey /
• Irving, Texas

Job ID: R-1099626

Apply prior to the end date: September 25, 2026

When you join Verizon

You want more out of a career. A place to share your ideas freely — even if they’re daring or different. Where the true you can learn, grow, and thrive. At Verizon, we power and empower how people live, work and play by connecting them to what brings them joy. We do what we love — driving innovation, creativity, and impact in the world. Our V Team is a community of people who anticipate, lead, and believe that listening is where learning begins. In crisis and in celebration, we come together — lifting our communities and building trust in how we show up, everywhere & always. Want in? Join the #VTeamLife.

What you’ll be doing

You will lead a highly sophisticated team of propensity modelers to support the base management organization as it strategically transitions to an agile pod model. Serving as the leader of the modeling chapter, you will orchestrate the deployment of data scientists across cross-functional base management pods dedicated to optimizing specific customer lifecycle stages and critical trigger events.

Partner directly with marketing and business leadership to deliver advanced machine learning and modeling capabilities that unlock deep microsegmentation and hyper-personalization, directly driving down customer churn.

Orchestrate all chapter operations, including strategic hiring, talent development, technical training, resource management, and process improvement.

Establish, elevate, and audit modeling standards and governance across the enterprise to ensure maximum prediction accuracy and business impact.

Lead cross-functional collaboration and partnership with key stakeholders across business transformation, technology, finance, and advanced analytics teams.

Create and deliver compelling executive presentations that clearly translate complex AI science strategies into meaningful business narratives.

Where you'll be working

This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.

What we’re looking for…

You pair an empowering, people-first leadership style with deep data science expertise. You easily translate complex predictive modeling into business strategy, mentoring your team to tackle high-stakes technical challenges.

You’ll need to have

• 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.

Even better if you have one or more of the following:

• Master's degree or PhD in data science, statistics, computer science, or a related quantitative field.
• Expert-level knowledge of advanced propensity modeling, machine learning algorithms, and personalization architectures.
• Experience working with large-scale cloud data platforms such as Google Cloud Platform, AWS, or Azure.
• Strong proficiency in developing enterprise-level modeling standards, model governance, and process automation frameworks.
• Exceptional executive communication and storytelling skills with the ability to bridge technical AI concepts and commercial business outcomes.

Scheduled Weekly Hours

40

Equal Employment Opportunity

Verizon is an equal opportunity employer. We evaluate qualified applicants without regard to veteran status, disability or other legally protected characteristics.

Benefits and Compensation

• medical
• dental
• vision
• short term disability
• long term disability
• basic life insurance
• supplemental life insurance
• AD&D insurance
• identity theft protection
• pet insurance
• group home & 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
• award-winning total rewards package
• premium pay such as overtime, shift differential, holiday pay, allowances, etc.

The salary will vary depending on your location and confirmed job-related skills and experience. This is an incentive based position with the potential to earn more.

The annual salary range for the location(s) listed on this job requisition based on a full-time schedule is: $143,500.00 - $275,000.00.