Product Manager â Personalization & Digital Products (70947\-1)

head\-huntress.com•Phoenix, AZ

About The Position

The Product Manager – Personalization & Digital Products will be responsible for defining and executing the roadmap for personalization capabilities across web, mobile, and marketing channels. This role involves identifying opportunities to enhance customer experience using data, AI/ML, and contextual insights, and aligning the product vision with business goals such as engagement, conversion, and revenue growth. The Product Manager will also build and scale personalization use cases like recommendations, segmentation, dynamic content, and cross-sell, leveraging customer, supplier, and contextual data to deliver relevant and timely experiences. A key aspect of this role is partnering with data science teams to develop and optimize ML models, such as recommendation systems and propensity models. The position requires owning the end-to-end product lifecycle, driving execution through collaboration with engineering, data, design, and business stakeholders, and managing product backlogs. Additionally, the role involves creating compelling product narratives, influencing cross-functional teams and senior leadership, driving A/B testing and experimentation, and tracking key performance indicators to refine strategies. The Product Manager will also work with data platforms to leverage 360° customer and supplier data for personalization, ensuring solutions are scalable, compliant, and aligned with data governance standards.

Requirements

Product strategy and roadmap definition
Experience with personalization capabilities across web, mobile, and marketing channels
Ability to identify opportunities to enhance customer experience using data, AI/ML, and contextual insights
Understanding of business goals such as engagement, conversion, and revenue growth
Experience building and scaling personalization use cases (recommendations, segmentation, dynamic content, cross-sell)
Proficiency in leveraging customer, supplier, and contextual data
Experience partnering with data science teams to develop and optimize ML models
End-to-end product lifecycle management
Strong collaboration skills with engineering, data, design, and business stakeholders
Experience managing product backlogs and prioritizing features
Stakeholder management and storytelling abilities
Ability to translate complex technical concepts into clear business value
Experience influencing cross-functional teams and senior leadership
Experience with A/B testing and experimentation frameworks
Ability to track KPIs and use insights to refine strategies
Experience working with data platforms for customer and supplier data
Understanding of data governance standards

Responsibilities

Define and execute the roadmap for personalization capabilities across web, mobile, and marketing channels
Identify opportunities to enhance customer experience using data, AI/ML, and contextual insights
Align product vision with business goals such as engagement, conversion, and revenue growth
Build and scale personalization use cases such as recommendations, segmentation, dynamic content, and cross-sell
Leverage customer, supplier, and contextual data to deliver relevant and timely experiences
Partner with data science teams to develop and optimize ML models (e.g., recommendation systems, propensity models)
Own end-to-end product lifecycle from ideation to launch and optimization
Drive execution through strong collaboration with engineering, data, design, and business stakeholders
Manage product backlogs, prioritize features, and ensure timely delivery
Create compelling product narratives, presentations, and executive updates
Translate complex technical concepts into clear business value
Influence cross-functional teams and senior leadership
Drive A/B testing and experimentation frameworks to continuously improve performance
Track KPIs such as engagement, CTR, conversion, and revenue impact
Use insights to refine personalization strategies and models
Work with data platforms to leverage 360° customer and supplier data for personalization
Ensure solutions are scalable, compliant, and aligned with data governance standards