Product Manager – Personalization & Digital Products (70947-1)
About The Position
This role focuses on defining and executing the roadmap for personalization capabilities across web, mobile, and marketing channels. The Product Manager will identify opportunities to enhance customer experience using data, AI/ML, and contextual insights, aligning the product vision with business goals such as engagement, conversion, and revenue growth. The position involves building and scaling personalization use cases like recommendations, segmentation, dynamic content, and cross-sell, leveraging customer, supplier, and contextual data to deliver relevant experiences. A key aspect is partnering with data science teams to develop and optimize ML models. The role requires owning the end-to-end product lifecycle, driving execution through collaboration with engineering, data, design, and business stakeholders, and managing product backlogs. Strong communication skills are essential for creating compelling product narratives and influencing stakeholders. The Product Manager will also drive A/B testing and experimentation to continuously improve performance, track key KPIs, and use insights to refine strategies. Integration with data platforms to leverage customer and supplier data for personalization, while ensuring scalability, compliance, and adherence to data governance standards, is also crucial.
Requirements
- 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
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
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
