Principal Product Manager, Data Platforms & Personalization

Expedia

Austin (TX)

In loco

USD 224.000 - 314.000

Tempo pieno

14 giorni+

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Vantaggi offerti da questo lavoro

Medical coverage
Dental coverage
Vision coverage
Travel discounts

Descrizione del lavoro

Expedia Group, a global travel company, is seeking a Principal Product Manager for Data Products to own the vision, strategy, and roadmap for data products that empower traveler and partner experiences, analytics, and ML-driven insights.

You will build data products from raw signals, convert them into predictive insights, and design cross-domain data flywheels that enable onsite personalization and offsite targeting.

Competenze

  • 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, and the technical fluency to speak their language and understand how the 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.

Mansioni

  • Own the vision, strategy, and roadmap for data products that enable traveler and partner product experiences, analytics, machine learning, and many other use cases — designing 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 — voice transcripts, agentic experience logs, case metadata — 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 speaking their language fluently enough to challenge assumptions and shape what gets built.
  • Support analytics, servicing, Advertising, Marketing, and other Partner product teams, ensuring the data products you build serve partner-facing experiences, dashboards and reports, and agentic experiences without compromising utility for any given use case.

Conoscenze

Data product management
Machine learning collaboration
SQL
Executive communication
Cross-functional leadership

Formazione

Bachelor's in technical field
Master's degree

Strumenti

Kafka
Kinesis

Descrizione del lavoro

Expedia Group, a global travel company, is seeking a Principal Product Manager for Data Products to own the vision, strategy, and roadmap for data products that empower traveler and partner experiences, analytics, and ML-driven insights.

You will build data products from raw signals, convert them into predictive insights, and design cross-domain data flywheels that enable onsite personalization and offsite targeting.

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