Director, AI & Machine Learning Engineering

Information Technology Senior Management Forum; Basking Ridge (NJ); Hybrid; USD 144,000 - 275,000; Full time

Job summary

Verizon is seeking a senior leader to guide a team of propensity modelers within a hybrid work setup. You will drive advanced ML initiatives, align modeling work with base management and customer lifecycle strategies, and mentor a growing team of data scientists.

You will partner with marketing, technology, and finance leaders to deliver measurable business impact, establish governance, and present complex AI strategies in clear business terms.

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 skilled team of propensity modelers to support base management in an agile pod model.
• Direct modeling standards, governance, and alignment with business goals.
• Collaborate with marketing, finance, and transformation teams to drive AI-driven business outcomes.
• Deliver executive-ready presentations translating AI concepts into strategy.
• Oversee hiring, training, and resource planning across the modeling chapter.

Skills

Data science leadership

Propensity modeling

Churn mitigation

Agile delivery

Travel willingness

Education

Bachelor's degree

Master's degree preferred

Tools

Google Cloud Platform

AWS

Azure

Job description

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.

Where you’ll be working

In this hybrid role, you'll have a defined work location that includes working from home and a minimum of three days per week in the office, which will be set by your manager. Employees are responsible for maintaining compliance with hybrid work policies.

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

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon. From health and wellness benefit options including: medical, dental, vision, short and long term disability, basic life insurance, supplemental life insurance, AD&D insurance, identity theft protection, pet insurance and group home & auto insurance. We also offer a matched 401(k) savings plan, up to 8 company paid holidays per year and up to 6 personal days per year, paid parental leave, adoption assistance and tuition assistance, plus other incentives, we’ve got you covered with our award-winning total rewards package. Depending on the role, employees have the opportunity to receive compensation in the form of premium pay such as overtime, shift differential, holiday pay, allowances, etc. Newly hired employees receive up to 15 days of vacation per year, which grows with additional service. For part-timers, your coverage will vary as you may be eligible for some of these benefits depending on your individual circumstances.

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. For part-time roles, your compensation will be adjusted to reflect your hours.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.