Sr Personalization Marketing Manager

1-800 Contacts•Draper, UT

4d•Hybrid

About The Position

The Senior Personalization Marketing Manager leads the strategy and execution of data-driven personalization efforts. You’ll identify and activate customer data—including zero-party inputs, behavioral and engagement signals, consumption patterns, and support interactions—to inform predictive models and deliver tailored messaging across channels. You’ll own the roadmap for enhancing customer data within our marketing automation platforms, with a focus on driving retention, cross-sell, and personalization. This includes organizing and prioritizing work across product, marketing operations, and data engineering teams to ensure alignment and execution. The role also involves partnering with data engineering and marketing teams to support reinforcement learning models, expand personalization capabilities across storefronts and marketing platforms, and identify new opportunities to improve the customer journey.

Requirements

5+ years in digital marketing with a strong emphasis on personalization
3+ years leading cross-functional, collaborative projects to improve customer experiences using first- and zero-party data
Experience with machine learning and predictive models strongly preferred
Deep experience with marketing automation platforms and analytics tools
Sharp attention to detail and a passion for building thoughtful, customer-first strategies
Strong collaborative mindset with a desire to partner across teams and functions
Innovative spirit and a bias for action—you see what's possible and make it happen

Responsibilities

Identify opportunities to leverage customer data—including zero-party data, behavioral and engagement data, customer consumption signals, and customer support interaction data—to execute personalization strategies and inform predictive models
Develop and execute a roadmap to enhance customer data within our CDP and marketing automation platforms to drive retention, cross-sell, and personalization
Organize and prioritize work queues across product, marketing operations, and data engineering teams to execute the personalization roadmap
Partner with data engineering and other marketers to supply reinforcement learning models with data to drive better outcomes
Identify and unlock opportunities to build a more personalized customer journey and expand personalization capabilities across marketing channels and storefronts