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.
If Verizon and this role sound like a fit for you, we encourage you to apply even if you don't meet every "even better" qualification listed above.Where you'll be workingIn 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 Hours40
Benefits and CompensationOur 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.
