Principal Product Manager, Data Platform

Principal Product Manager, Data Platform Overview

This role sits within the Product organization focused on platform and data capabilities, supporting the systems that power Expedia Group’s global travel business. The team is responsible for the foundational data and AI layers that enable the wider company, including enterprise data domains, analytics platforms, AI and machine learning platforms, streaming and experimentation systems, metrics platforms, and the governance and quality structures that support them. The work is highly cross-functional and involves close partnership with engineering teams across the business to build data infrastructure that is scalable, dependable, and ready for AI use.

The company is looking for a senior product leader who brings deep experience in data platforms and can take ownership of major capabilities across this portfolio. The emphasis is on setting direction, driving adoption, and delivering measurable outcomes in the areas where experienced leadership is most needed.

What you will do

• Define and lead the long-term vision, strategy, and multi-year roadmap for one or more data platform capabilities.
• Convert complex technical and business needs into a clear set of priorities that are tied to measurable outcomes.
• Shape and deliver platform capabilities across the full data lifecycle, including ingestion, quality and observability, governance and access management, metadata and discovery, metrics and semantic layers, and infrastructure that supports AI and machine learning.
• Build trusted platform experiences for engineers, analysts, data scientists, and business stakeholders.
• Help reduce manual work, improve confidence in data quality, and speed up access to insights.
• Incorporate AI-enabled features that improve discovery, automate quality checks, support natural-language access to data, and enable agent-style analytics use cases.
• Work with engineering, data, analytics, and business partners to deliver platform solutions that span multiple connected capabilities.
• Set and monitor adoption and impact measures such as usage, reliability, cost effectiveness, time to insight, and user satisfaction.
• Assess trade-offs and continuously improve the platform over time.
• Advocate for strong quality, scalability, and governance standards while encouraging broad adoption across the company.
• Help position the data platform as a trusted self-service foundation for the organization.

What the company is looking for

• A bachelor’s degree or equivalent professional experience.
• At least 10 years of experience in product management or a related technology discipline, including ownership of complex platform or data products.
• Hands-on experience with data-centric platforms such as data infrastructure, analytics enablement, data quality frameworks, metrics platforms, governance systems, and data catalog or discovery tools.
• Strong experience in data analysis, analytics, or data engineering, along with a deep understanding of data ecosystems and workflows.
• A strong history of defining and executing product strategy and roadmaps for complex, cross-functional data platforms that produced measurable business impact.
• Technical fluency in APIs, data modeling, and distributed systems, including always-on data platforms and data flow architectures.
• Experience collaborating closely with engineering and data teams to deliver advanced platform capabilities.
• Experience defining and managing adoption and success metrics for platform products.
• Proven ability to influence senior stakeholders and cross-functional teams on prioritization, governance, and trade-offs.
• The ability to clearly communicate the business value of data platform investment.

Preferred experience

• Experience leading enterprise-scale data platforms with broad usage across multiple domains or capability areas.
• A track record of driving platform governance, data quality, and self-service enablement for diverse user groups.
• Familiarity with metadata and catalog experiences, data quality and observability, metrics and semantic layers, experimentation frameworks, and data contracts.
• Experience building or integrating AI and machine learning capabilities such as semantic search, recommendation systems, natural-language query interfaces, and agentic data access.
• Strong ability to influence architecture and operating models in a matrixed engineering environment without direct authority.
• Experience using data to assess platform adoption, product health, and operational performance across interconnected capabilities.

What Expedia Group offers

The company says it provides a comprehensive benefits package that includes travel perks, generous time away from work, parental leave, a flexible working model with office space available, and resources to support career development. The culture is described as open and inclusive, with an emphasis on belonging, respect for differences, and shared success. Expedia Group also highlights external recognition for its workplace culture and offers support for candidates who need accommodations during the hiring process.

Additional information

This position is based in London, England, and is part of the Product function. The posting identifies the role as a full-time regular position. The page also notes that candidates who need help with any part of the application or recruiting process because of a disability or other physical or mental health condition can contact the recruiting accommodations team.

The company states that all qualified applicants will be considered without discrimination on the basis of race, religion, gender, sexual orientation, national origin, disability, or age.

Degree Requirement: Bachelor’s

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