Product Manager

Phoenix, AZ, US • Posted 4 days ago • Updated 1 day ago
Contract W2
On-site
$40 - $50/hr
Fitment

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Job Details

Skills

  • Product Management
  • Techno-functional
  • API
  • data platforms
  • system integrations
  • AI/ML
  • A/B testing
  • Artificial Intelligence
  • Generative Artificial Intelligence (AI)
  • Machine Learning (ML)

Summary

Job Title:Product Manager Personalization & Digital Products

Location:Phoenix, AZ 85003

Contract 6Months

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
  • Machine learning concepts (recommendation systems, segmentation, etc.)
  • 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

Roles & Responsibilities:

  • Product Strategy & Roadmap
    • 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
  • Stakeholder Management & Storytelling
    • Create compelling product narratives, presentations, and executive updates
    • Translate complex technical concepts into clear business value Influence cross-functional teams and senior leadership
  • Experimentation & Optimization
    • 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 personalizationEnsure solutions are scalable, compliant, and aligned with data governance standards

Must Have:

    • 5 7+ years of Product Management experiencewith a focus on digital products or personalization
    • Proven track record building and launching customer-facing digital products(web and/or mobile), with end-to-end ownership of the product lifecycle
    • Techno-functional backgroundencompassing APIs, data platforms, system integrations, and working knowledge of machine learning concepts (e.g., recommendation systems, segmentation)
    • Experience with AI/ML-driven personalization or recommendation systems, including partnering with data science teams to develop or optimize ML models
    • Experience with A/B testing and experimentation frameworks, with demonstrated ability to use data and KPIs to drive product decisions
    • Background in travel, hospitality, or e-commerce domains
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 10228827
  • Position Id: 8948781
  • Posted 4 days ago
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