Product Manager – Personalization & Digital Products (70947-1)

Velvet Ledger Workforce

  • Phoenix, Arizona
  • 3 days ago

    Highlights

    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. 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.

    Numbers & Facts

    LocationPhoenix, Arizona

    Description

    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
    • 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 personalization
      • Ensure solutions are scalable, compliant, and aligned with data governance standards

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