Senior Product Manager, Customer Data Platform

Introduction to the team: 

As a Senior Product Manager, you will orchestrate the development ofcutting-edgetravel products, harmonizing innovative solutions with user needs to solidify the company's market leadership. You'llmentor teams, integrate AI/ML advancements, and lead cross-functional efforts to actualize a data-informed, customer-centric product strategy. Your expertisewill drive the creation of strategic roadmaps, foster influential stakeholder relationships, and elevate the travel experience through meticulous execution and visionary leadership.
 
We are looking for a Senior Product Manager to own and evolve our Customer Data Platform (CDP) capabilities. This role is responsible for the customer data platform and enabling it for downstream teams so they can build personalized, measurable, and compliant customer experiences at scale. You will partner with data, engineering, and go to market teams to define the CDP vision, set the roadmap, and deliver high quality platform capabilities that are easy to adopt and reuse. 

In this role, you will:

• Define and own thelong‑termproduct vision, success metrics, and roadmap for Customer Data Platform (CDP) capabilities, aligning stakeholders across data, marketing, product, and engineering to deliver measurable business outcomes.

• Drive standards for customer data modeling and ingestion by shaping events, attributes, and schemas entering the CDP, partnering with engineering and data teams to simplify,consolidate, and scale tracking and integration patterns.

• Translate the needs of downstream teams (product, marketing, analytics, experimentation, personalization) into reusable,platform‑levelCDP capabilities, prioritizing integrations and features that streamline activation of audiences, identities, and events.

• Ensure the CDP is discoverable,well‑documented, and easy to adopt by internal teams, using feedback, usage metrics, and experimentation to continuously reduce friction and increase platform usability and adoption.

• Lead governance, quality, and reliability for core CDP components by partnering with data governance, security, and privacy teams to define guardrails, SLAs, and quality expectations, and driving continuous improvement against those standards.

• Integrate advanced data and AI/ML concepts into the CDP roadmap, including safely integrating and operating AI/ML‑enabledsolutions that improve targeting, personalization, and experimentation outcomes, and applying familiarity with AI‑drivensystems, tools, or workflows to real‑worldtravel products.

Minimum Qualifications: 

• Bachelor’s or Master’s degree in a relevant field, or equivalent practical experience. 

• 5–7+ years of product management experience, including significant work on platform or data products where you owned strategy, roadmap, and delivery. 

• Demonstrated experience working with customer data such as events, identities, profiles, or audiences, with comfort engaging in technical discussions about data models, APIs, and integration patterns. 

• Proven track record defining product strategy and roadmaps for data or platform capabilities and delivering against them in close collaboration with engineering, data, and cross‑functional business partners. 

• Ability to operate within a multi‑team environment, owning CDP capabilities that serve multiple downstream products and services, and aligning diverse stakeholders around clear priorities and measurable outcomes 

Preferred Qualifications: 

• Hands‑onexperience with customer data platforms (vendor or homegrown), analyticsor customer data infrastructure, including data modeling for events, profiles, and

•  audiences and ingestion intolarge‑scaledata systems.

• Background in one ormore ofpersonalization, lifecycle marketing, experimentation, or analytics, with experience using customer data to drive targeted campaigns, experiences, or optimizations at scale.

• Familiarity with data governance, privacy, and compliance requirements related to customer data (e.g., consent, data retention, access controls) and experience embedding these into platform capabilities and guardrails.

• Demonstrated experience taking products or platforms from concept through launch to scaled internal adoption, including defining success metrics, driving change management, and iterating based on quantitative and qualitative feedback.

• Experience designing or evolvingAI‑awareCDP capabilities, such as features that power ML‑drivensegmentation, personalization, or experimentation, including safely integrating and operating AI/ML‑enabledsolutions and applying AI/ML concepts in collaboration with data science and engineering teams.