Principal Product Manager, Data Strategy

Expedia Group•Escazú, IL

20h

About The Position

The Platform & Data Product organization sits within Expedia Group’s wider Product function and is responsible for building the foundational data and AI capabilities that power our global travel ecosystem. The team oversees Expedia Group’s data products, enterprise data domains, analytics platforms, AI/ML platforms, streaming and experimentation platforms, metrics platforms, and the governance and quality frameworks that underpin them. We partner closely with engineering teams across the business to deliver scalable, reliable, and AI‑ready data infrastructure. Our remit spans customer, traveler, supplier, destination, events, and competitive intelligence data, making this team central to Expedia Group’s data-driven transformation. With visibility across all brands and business units, we operate in one of the most high-impact, fast-evolving domains at EG. As the Principal Product Manager for Data Strategy, you will own the holistic vision for Expedia’s data landscape, covering metadata, lineage, data sourcing, data contracts, SLAs, governance, quality, and readiness for AI/ML workloads. You will work across a highly interconnected product and engineering ecosystem—including marketing data engineering, B2B data engineering, enterprise data product teams, and multiple platform teams—to build a unified, actionable strategy for the company. Success in this role requires deep experience with data and platform product management, strong cross‑functional influence, and exceptional storytelling skills to align diverse stakeholders around a shared data vision. This is a high‑visibility, high‑impact opportunity where you will help shape the next several years of Expedia’s data evolution and build the foundation that enables AI‑powered innovation across all EG brands and products.

Requirements

10+ years of experience in product management, with expertise in building and scaling platform or data capabilities, including owning vision, roadmap, and outcomes for services or multi-service ecosystems used by other product and engineering teams.
Proven experience as a 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, including definition of vision, multi-year strategy, and cross-team execution with engineering and analytics partners.
Expertise in data product fundamentals, including data modeling, data quality, governance, and API design, and in 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 and applying AI/ML concepts to real world products within a data or analytics context.

Nice To Haves

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, and identifies pragmatic opportunities to embed AI into data products and workflows.
Experience providing thought leadership on data strategy, influencing enterprise-wide data investments and roadmaps, and mentoring other product managers in data-centric product practices.

Responsibilities

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.
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.
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.
Champion data governance, compliance, and stewardship practices within your domain, establishing standards for data definitions, lineage, and usage, and driving consistent adoption across teams.
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.
Drive the evaluation and adoption of modern data and AI/ML capabilities, ensuring familiarity with AI-driven systems, tools, or workflows and applying AI/ML concepts to real-world products, and safely integrates and operates AI/MLenabled solutions that improve outcomes.