Principal Product Manager — Data Platforms & Personalization

11105 Expedia, Inc.; Austin (TX); On-site; USD 224,000 - 314,000; Full time

Benefits offered by this job

Medical insurance

Dental coverage

Vision coverage

Paid time off

Employee Assistance Program

Wellness reimbursement

Travel discounts

IATAN membership

Job summary

Expedia Group is seeking a Principal Product Manager to own data products for traveler and partner experiences. You will drive the roadmap for data platforms used in analytics, ML, and personalization, working with ML scientists to translate requirements into actionable data specifications.

You will design cross-domain data flywheels, partner with senior leaders, and mentor PMs while navigating a matrixed org to deliver high-impact data solutions for eight data domains.

Qualifications

• Bachelor’s degree in a technical field or equivalent practical experience.
• 12+ years of product management with data platforms or data products; 10+ with a Master’s.
• Hands-on product experience for machine learning data training with granular datasets.

Responsibilities

• Own vision, strategy, and roadmap for data products enabling analytics and ML.
• Collaborate with ML scientists to translate model needs into data specs.
• Design data flywheels connecting insights across eight data domains.
• Partner with senior leaders and cross-functional teams to align priorities.
• Lead executive-level communications and champion data product initiatives.

Skills

Executive presence

Cross-functional collaboration

Data product strategy

ML collaboration

Education

Bachelor's degree

Master's degree

Tools

SQL

Kafka

Kinesis

Job description

Expedia Group is seeking a Principal Product Manager to own data products for traveler and partner experiences. You will drive the roadmap for data platforms used in analytics, ML, and personalization, working with ML scientists to translate requirements into actionable data specifications.

You will design cross-domain data flywheels, partner with senior leaders, and mentor PMs while navigating a matrixed org to deliver high-impact data solutions for eight data domains.