Principal Product Manager, Data Products

Expedia Group•Austin, TX

2d•$224,000 - $313,500

About The Position

Expedia Group is seeking a Principal Product Manager to oversee Customer Data Platform and shape data foundations that power machine learning, personalization, agentic experiences, and predictive intelligence. The role owns data products across domains including customer, partner, competitive intelligence, and destinations, and sets technical direction for product and engineering teams. The Principal Product Manager will own the vision, strategy, and roadmap for data products that support traveler and partner experiences, analytics, and machine learning. This includes developing granular event datasets from raw domain and servicing signals, creating predictive insights, and connecting data across domains to enable personalization and other customer and partner use cases. The role drives a high-visibility customer data and personalization workstream, works closely with ML scientists, and supports analytics, servicing, advertising, marketing, and partner product teams. This is a highly visible, principal-scope role requiring leadership across ambiguous and evolving initiatives in a large, matrixed organization. The person will align stakeholders, represent the team with senior executives, and mentor Senior and mid-level Product Managers. The total cash range for this position in Austin is $224,000 to $313,500, with potential pay up to $358,500 based on sustained performance. Starting pay varies based on factors including location, budget, knowledge, skills, and experience.

Requirements

Bachelor’s degree in a technical field such as Engineering, Computer Science, Statistics, or Applied Math, or equivalent practical experience.
12+ years of product management experience with a Bachelor’s degree, or 10+ years with a Master’s degree, including significant experience building data platforms or data products.
Direct, hands-on experience building data products for machine learning training, including granular event-level or sub-entity datasets with the dimensionality and history needed for model development.
Demonstrated experience partnering with machine learning scientists as a primary customer, with technical fluency in how models consume data.
Strong understanding of data architecture, data modeling, and modern data technologies, including the ability to write and decompose SQL and engage 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.
Executive presence and communication skills, including presenting complex data work to senior executives and translating it for non-technical audiences.
Experience navigating large, matrixed organizations and identifying stakeholders in environments where formal structures do not fully reflect decision-making.

Nice To Haves

Experience building data products for agentic or generative AI experiences, such as data extracted from LLM-driven traveler or partner conversations.
Hands-on experience with real-time data systems, APIs, and streaming platforms such as Kafka or Kinesis.
Experience in travel, e-commerce, marketplaces, or another high-scale consumer domain where personalization and predictive intelligence are core to the business.
Experience designing cross-domain data flywheels or connected insight programs spanning multiple data domains and downstream consumers.
Experience mentoring Senior Product Managers and contributing to the growth of a product management practice.

Responsibilities

Own the vision, strategy, and roadmap for data products supporting traveler and partner experiences, analytics, machine learning, and 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 workstream in collaboration with senior leadership.
Build data products from raw servicing signals, including voice transcripts, agentic experience logs, and case metadata, to produce predictive insights on service incidents, seasonality, market anomalies, supply quality, and property-level trends.
Design and deliver data flywheels connecting insights across eight data domains for personalization, offsite targeting, supply partner conversations, and destination content.
Partner with ML scientists, translate model requirements into data product specifications, and shape product decisions based on model needs.
Support analytics, servicing, advertising, marketing, and partner product teams, ensuring data products serve partner-facing experiences, dashboards, reports, and agentic experiences.
Take on evolving, high-priority and ambiguous executive-sponsored initiatives beyond a fixed role scope.
Identify stakeholders, align cross-functional partners, and drive decisions in a large, matrixed organization.
Represent the team to VP-, SVP-, and C-level executives, communicating complex data work to technical and non-technical audiences.
Mentor Senior and mid-level Product Managers and improve data product management practices.