Director, AI & Machine Learning Engineering

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.

About the role

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.

Requirements

• 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.

Qualifications

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.

Schedule

• This hybrid role will have a defined work location that includes work from home and assigned office days as set by the manager.
• Scheduled weekly hours: 40.
• Minimum of three days per week in the office.

Benefits

Our benefits are designed to help you move forward in your career, and in areas of your life outside of Verizon.

• 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.
• 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.
• Other incentives, including premium pay such as overtime, shift differential, holiday pay, and allowances.
• Newly hired employees receive up to 15 days of vacation per year, which grows with additional service.

Pay

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. This is an incentive-based position with the potential to earn more.