Associate Product Manager - TLS

American Express • Phoenix, AZ

9h

About The Position

As an Associate Product Manager within Travel & Lifestyle Services (TLS), you will help drive data and personalization capabilities across digital and agent servicing channels to deliver seamless, relevant, and connected Card Member experiences throughout the travel journey. You will partner closely with Engineering, Product Management, Analytics, and cross-functional business teams to define product requirements, prioritize capabilities, and deliver scalable, data-driven personalization solutions. The role offers an opportunity to shape how customer insights, data, and technology enable contextual, proactive, and personalized travel experiences while supporting business objectives and operational efficiency.

Success includes delivering scalable personalization capabilities aligned with TLS priorities; improving the relevance and consistency of Card Member experiences across digital and agent servicing channels; collaborating effectively with Engineering and cross-functional product teams; creating clear, prioritized requirements and executing roadmap initiatives; and making measurable improvements in personalization adoption, customer engagement, and servicing effectiveness.

Requirements

• Bachelor's degree in Business, Technology, Engineering, or a related field, or equivalent experience.
• Experience in product management, business analysis, technology delivery, or a related discipline; travel-domain experience is described as ideal.
• Understanding of Agile product development methodologies and product lifecycle management.
• Understanding of big data, data pipelines, and ETL/ELT processes.
• Understanding of cloud platforms, including GCP and the listed technologies Big Table, Lumi, Big Query, and Vertex All.
• Strong analytical and problem-solving skills, including the ability to translate complex business needs into actionable requirements.
• Excellent communication and stakeholder management skills.
• Ability to collaborate effectively with Engineering and cross-functional teams.
• Strong organizational skills and ability to manage multiple priorities in a fast-paced environment.
• Customer-first mindset and interest in using data and technology to improve customer experiences.

Nice To Haves

• Experience with data-driven products, personalization platforms, or customer experience technologies.
• Understanding of customer data platforms, APIs, data integration, or real-time decisioning capabilities.
• Familiarity with digital servicing experiences, agent-facing applications, or omnichannel customer journeys.
• Familiarity with ML concepts, ML Studio, Copilot, GitHub, or Elasticsearch.
• Experience with product management tools such as Jira and Confluence.
• Familiarity with SQL, product analytics, experimentation, or performance measurement.
• Experience in the travel domain.
• Understanding of responsible data usage, privacy principles, and enterprise data governance.

Responsibilities

• Support development and execution of the data and personalization product roadmap, aligning priorities with TLS business objectives and Card Member needs.
• Help define and deliver capabilities that use Card Member data, preferences, behavioral insights, and travel context to enable relevant experiences across digital and agent servicing channels.
• Partner with Engineering and cross-functional product teams to translate business needs into detailed product requirements, user stories, and acceptance criteria.
• Collaborate with digital and servicing teams to enable consistent, connected, and personalized experiences across Card Member touchpoints.
• Manage product backlogs, evaluate feature priorities, identify dependencies, and support delivery through Agile development processes.
• Use product analytics, customer insights, and performance metrics to identify opportunities, evaluate effectiveness, and inform product enhancements.
• Build relationships with Engineering, Analytics, Data, Design, Risk, Compliance, and business stakeholders to align on requirements, timelines, and expected outcomes.
• Define and track KPIs related to personalization effectiveness, customer engagement, adoption, and servicing efficiency to support continuous improvement.
• Partner with appropriate teams to ensure personalization capabilities align with applicable data privacy, security, governance, and regulatory requirements.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level