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

consultantexit.com
United StatesRemoteLead / Manager5–7 yrs
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The job in short

Personalization and digital products management.

Machine learningGenerative AIRecommendation systemsData scienceMarketingProduct management

Details

Found
38 d ago · posted 2026-06-18
Location
United States - Remote

Full 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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