KAYAK · 1 day ago
VP, Data
KAYAK, part of Booking Holdings, is the world's leading travel search engine. The VP, Data will own KAYAK’s data strategy and platform, leading Data Engineering and Data Science to deliver reliable, scalable, and impactful data products while collaborating with various teams to operationalize data solutions.
Responsibilities
Define and drive the company’s data strategy and roadmap to enable analytics, experimentation, and machine learning aligned to business goals
Lead design, development, and evolution of the data platform (ingestion, processing, storage, catalogs, APIs) to ensure scalability, reliability, and performance
Oversee data science teams to deliver predictive models, experimentation frameworks, and ML systems that create measurable business impact
Establish and enforce data governance, metadata management, lineage, and data quality standards to ensure trust and compliance
Partner closely with DevOps, Cloud/Infrastructure, Engineering, Product, and Security to productionize data products, define SLAs, and align on deployment and monitoring practices—collaborating with but not directly managing DevOps teams
Recruit, mentor, and grow high-performing data engineering and data science teams; define org structure, career paths, and performance metrics
Define KPIs for data platform adoption, model performance, data quality, and time-to-insight; use outcomes to prioritize investments
Guide architecture choices (cloud-native data stacks, streaming vs batch, data warehouse vs data lakehouse), review critical designs, and promote best practices in engineering and ML ops
Qualification
Required
10+ years building data platforms and analytics/ML organizations, with at least 5 years in senior leadership
Strong background in modern data engineering and data science practices (ETL/ELT, data modeling, warehousing/lakehouse, streaming, feature stores, ML lifecycle)
Familiarity with cloud platforms (AWS/Azure/GCP) and CI/CD for data/ML workflows
Proven track record hiring, scaling, and developing technical teams and partnering across product and engineering organizations
Experience implementing data governance, privacy controls, access management, and compliance processes
Able to translate technical tradeoffs into business value and influence senior stakeholders
Degree in CS, engineering, statistics, or related field (or equivalent experience)
Preferred
Experience with large-scale travel or consumer product data
Familiarity with MLOps and feature-store implementations
Prior experience collaborating with DevOps and cloud infrastructure teams to productionize data/ML workloads
Benefits
Work from (almost) anywhere for up to 20 days per year
Flexible hours and ability to work from home 1 or 2 days per week
Generous retirement plans
Awesome health, dental and vision insurance plans with flexible spending accounts
Focus on mental health and well-being:
Company-paid therapy sessions through SpringHealth
Company-paid subscription to HeadSpace
Company-wide week off a year - the whole team fully recharges (and returns without a pile-up of work!)
No meeting Fridays
Universal paid parental leave
Generous paid vacation + time off for your birthday
Paid volunteer time
Focus on your career growth:
Development Dollars
Leadership development
Access to thousands of on-demand e-learnings
Travel Discounts
Employee Resource Groups
Competitive retirement and health plans
Free lunch 2 days per week
Fun quarterly events such as boat trips, arcades, ski trips, Thursday happy hours, and more
Company
KAYAK
KAYAK helps millions of travelers around the globe make confident travel decisions. It is a sub-organization of Booking Holdings.
H1B Sponsorship
KAYAK has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (22)
2024 (18)
2023 (14)
2022 (20)
2021 (5)
2020 (10)
Funding
Current Stage
Public CompanyTotal Funding
$229MKey Investors
IVPAccelSequoia Capital
2013-05-21Acquired
2012-08-17Post Ipo Equity· $6M
2012-07-20IPO
Recent News
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