Product Manager – Personalization & Digital Products (70947-1)
Getecube, Phoenix, AZ, United States
Job Title: Product Manager – Personalization & Digital Products (70947-1)
End Client Industry: BFSI
Location: Phoenix, AZ (100% On-site)
Must Have Technical/Functional Skills:
5–7+ years of experience in Product Management, with a focus on digital products or personalization
Strong techno-functional background with understanding of:
APIs, data platforms, and system integrations
Proven experience building and launching customer-facing digital products (web/mobile)
Strong analytical mindset with ability to use data for decision-making
Excellent communication, storytelling, and presentation skills
Experience managing roadmaps, product lifecycle, and cross-functional teams
Experience in AI/ML-driven personalization or recommendation systems
Familiarity with Generative AI tools and applications in personalization
Experience in travel, hospitality, or e-commerce domains
Exposure to:
Experimentation frameworks (A/B testing)
Personalization platforms or orchestration layers
Marketing technologies and customer engagement platforms
Prior experience working with or within American Express / similar enterprise ecosystems
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
Personalization & Recommendations
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)
Execution & Delivery
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
Data & Platform Integration
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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End Client Industry: BFSI
Location: Phoenix, AZ (100% On-site)
Must Have Technical/Functional Skills:
5–7+ years of experience in Product Management, with a focus on digital products or personalization
Strong techno-functional background with understanding of:
APIs, data platforms, and system integrations
Proven experience building and launching customer-facing digital products (web/mobile)
Strong analytical mindset with ability to use data for decision-making
Excellent communication, storytelling, and presentation skills
Experience managing roadmaps, product lifecycle, and cross-functional teams
Experience in AI/ML-driven personalization or recommendation systems
Familiarity with Generative AI tools and applications in personalization
Experience in travel, hospitality, or e-commerce domains
Exposure to:
Experimentation frameworks (A/B testing)
Personalization platforms or orchestration layers
Marketing technologies and customer engagement platforms
Prior experience working with or within American Express / similar enterprise ecosystems
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
Personalization & Recommendations
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)
Execution & Delivery
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
Data & Platform Integration
Work with data platforms to leverage 360 customer and supplier data for personalization
Ensure solutions are scalable, compliant, and aligned with data governance standards
#J-18808-Ljbffr