Principal Product Manager, Data Strategy

TL;DR

Principal Product Manager, Data Strategy: Owning the holistic vision for Expedia's data landscape, covering metadata, lineage, data sourcing, data contracts, SLAs, governance, quality, and readiness for AI/ML workloads. Focus on aligning data capabilities with business objectives and product roadmaps across multiple organizations.

Location: This role can be based in Seattle, New York, Chicago, Austin, San Francisco and Costa Rica.

Salary: The total cash range for this position in Seattle is $224,000.00 to $313,500.00; New York is $242,000.00 to $338,500.00; Chicago is $208,000.00 to $291,500.00; Austin is $224,000.00 to $313,500.00; San Francisco is $242,000.00 to $338,500.00.

Company

hirify.global brands power global travel for everyone, everywhere.

What you will do

• Define and evolve the long-term data product and platform strategy.
• Translate complex business needs into clear, prioritized data product requirements and roadmaps.
• Partner with engineering, analytics, and architecture teams to deliver resilient, well-designed data solutions.
• Champion data governance, compliance, and stewardship practices within your domain.
• Use quantitative and qualitative insights to make data-driven prioritization and trade-off decisions.
• Drive the evaluation and adoption of modern data and AI/ML capabilities.

Requirements

• 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.
• Expertise in data product fundamentals, including data modeling, data quality, governance, and API design.
• 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 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.
• 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.
• Experience providing thought leadership on data strategy.

Culture & Benefits

• Full benefits package, including exciting travel perks and generous time-off.
• Parental leave.
• Flexible work model.
• Career development resources.