TL;DR
Principal Product Manager, Data Strategy (AI): Owning the vision for Expedia's data landscape, you'll focus on metadata, lineage, data sourcing, data contracts, governance, and quality. Focus on building a unified strategy for the company and shaping Expedia’s data evolution, enabling AI‑powered innovation across all brands and products.
Location: United States - Illinois - Chicago
Salary: The total cash range for this position in Seattle is $224,000.00 to $313,500.00. The total cash range for this position in New York is $242,000.00 to $338,500.00. The total cash range for this position in Chicago is $208,000.00 to $291,500.00. The total cash range for this position in Austin is $224,000.00 to $313,500.00. The total cash range for this position in San Francisco is $242,000.00 to $338,500.00.
Company
hirify.global brands power global travel for everyone, everywhere by designing cutting-edge tech and creating groundbreaking solutions for partners.
What you will do
- Define and evolve the long-term data product and platform strategy, aligning data capabilities with business objectives and product roadmaps.
- Translate complex business needs into clear, prioritized data product requirements and roadmaps, including data models, APIs, and governance.
- Partner with engineering, analytics, and architecture teams to deliver resilient, well-designed data solutions, improving data quality, accessibility, and time-to-insight.
- Champion data governance, compliance, and stewardship practices within your domain.
- Use quantitative and qualitative insights to make data-driven prioritization and trade-off decisions, continuously refining your data strategy, product portfolio, and success metrics.
- Drive the evaluation and adoption of modern data and AI/ML capabilities.
Requirements
- Proven experience as a senior or principal-level product manager 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.
- Familiarity with AI-driven systems, tools, or workflows.
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, influencing enterprise-wide data investments and roadmaps, and mentoring other product managers in data-centric product practices.
Culture & Benefits
- Full benefits package, including travel perks, generous time-off, and parental leave.
- Flexible work model.
- Career development resources.
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