Principal Product Manager, Customer Data Platform at Expedia Group | Austin, TX, US | Rezi

Principal Product Manager, Customer Data Platform at Expedia Group

Principal Product Manager, Customer Data Platform

Expedia Group · Austin, TX, US

1 weeks ago

Principal Product Manager, Customer Data Platform

Expedia Group · Austin, TX, US

10 days ago
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About the Role

As a Principal Product Manager overseeing Customer Data Platform, you will tackle the largest and most complex data problems at Expedia Group, shaping the data foundations that power machine learning, personalization, agentic experiences, and predictive intelligence across the company. You will own the vision, strategy, and roadmap for data products that enable traveler and partner product experiences, analytics, machine learning, and many other use cases. This role offers high executive visibility and the opportunity to set technical direction.

Responsibilities

  • Own the vision, strategy, and roadmap for data products that enable traveler and partner product experiences, analytics, machine learning, and many other use cases.
  • Design granular, sub-entity event datasets that normalize raw domain events into insights about core entities.
  • Drive the customer data and personalization enablement work stream, one of the highest-visibility initiatives across the company, in close collaboration with senior leadership.
  • Build data products from raw servicing signals and convert them into predictive insights on service incidents, seasonality, market anomalies, supply quality, and property-level trends.
  • Design and deliver data flywheels that connect facts and insights across our eight data domains, unlocking cross-domain intelligence for onsite personalization, offsite targeting, supply partner conversations, and destination content.
  • Partner directly with ML scientists, translating model requirements into data product specifications, and challenging assumptions.
  • Support analytics, servicing, Advertising, Marketing, and other Partner product teams, ensuring data products serve partner-facing experiences, dashboards, reports, and agentic experiences.
  • Move fluidly between the team’s highest-priority problems as the roadmap evolves, taking on ambiguous, executive-sponsored initiatives.
  • Navigate a large, matrixed, and rapidly reorganizing environment to identify the right stakeholders and align cross-functional partners.
  • Represent the team in front of senior executives, including at the VP, SVP, and C-level, with the substance of a data expert and strong communication skills.
  • Mentor Senior and mid-level Product Managers on the team, raising the craft of data product management and coaching others on ML-adjacent data work.

Requirements

  • Bachelor’s degree in a technical field (e.g., Engineering, Computer Science, Statistics, Applied Math) or equivalent practical experience.
  • 12+ years of product management experience with a Bachelor’s, or 10+ years with a Master’s, including significant time building data platforms or data products.
  • Direct, hands-on experience building data products intended for machine learning training, including granular event-level or sub-entity datasets with the dimensionality and history required for model development.
  • Demonstrated experience partnering with machine learning scientists as a primary customer, with the technical fluency to speak their language and understand how data will be consumed by models.
  • Strong understanding of data architecture, data modeling, and modern data technologies, with the technical depth to write and decompose SQL and engage directly with pipelines and systems when needed.
  • Track record of operating at Principal scope: moving between major problems, leading ambiguous initiatives, and shaping outcomes without a fixed team beneath you.
  • Proven executive presence and communication skills — comfortable representing complex data work in front of senior executives and translating it for non-technical audiences.
  • Experience navigating large, matrixed organizations and identifying the right stakeholders in environments where the formal structure does not fully reflect where decisions get made.

Skills

  • Data Platforms
  • Data Products
  • Machine Learning
  • Personalization
  • Agentic Experiences
  • Predictive Intelligence
  • Data Architecture
  • Data Modeling
  • SQL
  • Executive Presence
  • Communication Skills
  • Mentoring
  • Real-time data systems
  • APIs
  • Streaming platforms (e.g., Kafka, Kinesis)
  • Travel
  • E-commerce
  • Marketplaces
  • Generative AI experiences

Location

  • Austin

Work Type

  • Full-time

Experience Level

  • Principal

Education Level

  • Bachelor's degree in a technical field or equivalent practical experience
  • Master's degree

Salary/Compensations

  • $224,000.00 - $313,500.00
  • Potential to increase pay up to $358,500.00 based on performance

Benefits

  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Employee Assistance Program
  • Wellness reimbursement
  • Travel reimbursement
  • Travel discounts
  • International Airlines Travel Agent Network (IATAN) membership

About the Company

  • Expedia Group helps travelers explore the world, one journey at a time.
  • We are a global travel company powered by passionate people, trusted partnerships, and leading technology.
  • We connect travelers, partners, and advertisers through our consumer brands, B2B network, and travel advertising business.
  • Our five Behaviors include: Traveler First, Think Big, Operate with Excellence, Ownership Mindset, and Succeed Together.
  • Expedia Group includes three flagship consumer brands - Expedia, Hotels.com, and Vrbo - along with a leading B2B travel business and travel advertising offerings.
  • Across our brands and business, we help travelers explore the world with confidence and ease.

Equal Opportunity

  • Expedia is committed to creating an inclusive work environment with a diverse workforce.
  • All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or any other characteristic protected by law.
  • This employer participates in E-Verify.
  • The employer will provide the Social Security Administration (SSA) and, if necessary, the Department of Homeland Security (DHS) with information from each new employee's I-9 to confirm work authorization.