Principal Product Manager, Data Strategy

Expedia Expedia · Hospitality · Seattle, USA - New York - New York, USA - Illinois - Chicago, Costa Rica - Escazu, San Jose, UK - London, Austin Domain 11 - HomeAway, USA - California - San Francisco, WA

Principal Product Manager for Data Strategy at Expedia Group, focusing on defining the holistic vision for the company's data landscape, including metadata, lineage, sourcing, contracts, SLAs, governance, quality, and readiness for AI/ML workloads. The role involves working across product and engineering ecosystems to build a unified strategy, enabling AI-powered innovation. Requires deep experience in data and platform product management, cross-functional influence, and storytelling skills.

What you'd actually do

  1. Define and evolve the long-term data product and platform strategy for your domain, aligning data capabilities with business objectives and product roadmaps across multiple organizations.
  2. Translate complex business needs into clear, prioritized data product requirements and roadmaps, including data models, APIs, and governance capabilities that enable self-service analytics and decision-making at scale.
  3. Partner with engineering, analytics, and architecture teams to deliver resilient, well-designed data solutions, including system-level and low-level design input, that improve data quality, accessibility, and time-to-insight.
  4. Champion data governance, compliance, and stewardship practices within your domain, establishing standards for data definitions, lineage, and usage, and driving consistent adoption across teams.
  5. Use quantitative and qualitative insights to make data-driven prioritisation and trade-off decisions, continuously refining your data strategy, product portfolio, and success metrics based on real-world impact.

Skills

Required

  • 10+ years of experience in product management
  • expertise in building and scaling platform or data capabilities
  • owning vision, roadmap, and outcomes for services or multi-service ecosystems
  • senior or principal-level product manager or equivalent role owning strategy and roadmap for complex data platforms, data products, or analytics ecosystems
  • Track record of end-to-end ownership for a data domain or portfolio of data services
  • Expertise in data product fundamentals, including data modeling, data quality, governance, and API design
  • using experimentation, metrics, and analytics to guide product decisions
  • Demonstrated ability to work across multiple domains and stakeholder groups
  • influencing senior leaders and balancing needs of data producers, data consumers, and platform teams
  • Familiarity with AI-driven systems, tools, or workflows
  • applying AI/ML concepts to real world products within a data or analytics context

Nice to have

  • Demonstrated experience taking products from concept to scaled adoption, specifically data platforms or data products that serve multiple domains or organizations.
  • Experience designing and evolving large-scale data architectures and data contracts, including close collaboration with engineering on system design, low-level design, and API/data model choices to ensure reliability and performance.
  • Proven ability to drive data governance and stewardship at scale, setting and enforcing standards for data quality, lineage, security, and compliance across complex organizations.
  • History of using advanced analytics, experimentation, and AI/ML techniques to optimize product experiences
  • safely integrates and operates AI/MLenabled solutions that improve outcomes

What the JD emphasized

  • AI/ML workloads
  • AI-ready data infrastructure
  • AI-powered innovation
  • data product and platform strategy
  • data governance
  • data quality
  • AI-driven systems
  • AI/ML concepts
  • AI/MLenabled solutions

Other signals

  • data strategy
  • data products
  • AI/ML platforms
  • governance
  • quality frameworks
  • AI-ready data infrastructure
  • AI-powered innovation