Description

Key Responsibilities

1. Product Strategy & Roadmap

• Define and execute the product roadmap for personalization capabilities across web, mobile, and marketing platforms
• Identify opportunities to improve customer experience using data, AI/ML, and contextual insights
• Align product vision with core business goals such as customer engagement, conversion, and revenue growth

2. Personalization & Recommendation Systems

• Build and scale personalization use cases including recommendations, segmentation, dynamic content, and cross‑sell
• Leverage customer, supplier, and contextual data to deliver relevant, timely experiences
• Partner with data science and ML teams to develop and optimize models (e.g., recommendation engines, propensity models)

3. Execution & Delivery

• Own the end‑to‑end product lifecycle from ideation through launch and continuous optimization
• Drive execution through close collaboration with engineering, data, design, and business teams
• Manage product backlogs, prioritize features, and ensure predictable and timely delivery

4. Stakeholder Management & Storytelling

• Create compelling product narratives, executive presentations, and business updates
• Translate complex technical and data concepts into clear business value propositions
• Influence cross‑functional teams and senior leadership without direct authority

5. Experimentation & Optimization

• Drive A/B testing and experimentation frameworks to continuously improve performance
• Define and track KPIs such as engagement, CTR, conversion, and revenue impact
• Use insights and learnings to optimize personalization strategies and underlying models

6. Data & Platform Integration

• Work closely with data platforms to leverage 360° customer and supplier data
• Ensure personalization solutions are scalable, compliant, and aligned with data governance standards
• Partner on event tracking, customer journey orchestration, and analytics integrations

Required Skills & Qualifications

Product & Domain Expertise

• 5–7+ years of experience in Product Management, with a focus on digital products or personalization
• Proven track record of building and launching customer‑facing web and/or mobile products
• Experience in AI/ML‑driven personalization or recommendation systems
• Domain experience in travel, hospitality, or e‑commerce is strongly preferred

Technical & Analytical Skills

• Strong techno‑functional understanding of:
  • APIs, data platforms, and system integrations
  • Machine learning concepts (recommendation systems, segmentation, propensity modeling, etc.)
• Familiarity with Generative AI tools and their applications in personalization
• Strong analytical mindset with hands‑on experience using data to inform decisions

Platforms & Ecosystem Exposure

• Exposure to:
  • Experimentation frameworks (A/B testing, multivariate testing)
  • Personalization platforms or orchestration layers
  • Marketing technologies and customer engagement platforms
• Understanding of systems such as:
  • Booking flows and recommendation engines
  • Travel domain constructs (flights, hotels, loyalty programs)
  • Event tracking, customer data platforms, and journey analytics
• Prior experience working with or within American Express or similar large enterprise ecosystems is a plus

Soft Skills

• Excellent communication, storytelling, and presentation skills
• Proven ability to manage cross‑functional teams and complex stakeholder environments
• High ownership mindset with the ability to balance strategy and execution

Essential Skills

• Product Management
• Personalization & Recommendation Systems
• AI/ML Concepts
• Data‑Driven Decision Making
• Roadmap & Lifecycle Management
• Stakeholder Management
• Experimentation & Optimization

Desirable Skills

• Generative AI for personalization
• Travel or loyalty platforms
• Enterprise‑scale data ecosystems
• MarTech & customer engagement platforms

Key Skills

Education

Not specified