VP, Data

KAYAK, part of Booking Holdings (NASDAQ: BKNG), is the world's leading travel search engine. With billions of queries across our platforms, we help people find their perfect flight, stay, rental car and vacation package. We're also transforming business travel with a new corporate travel solution, KAYAK for Business.

As an employee of KAYAK, you will be part of a travel company that operates a portfolio of global metasearch brands including momondo, Cheap flights and Hotels Combined, among others. From start-up to industry leader, innovation is at our core and every employee has an opportunity to make their mark. Our focus is on building the best travel search engine to make it easier for everyone to experience the world.

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. This leader will define the data roadmap, ensure governance and quality, enable analytics and ML at scale, and partner closely with Dev Ops, Engineering, Product, and Security teams to operationalize data solutions (without directly managing Dev Ops teams).

This role will be required to work from our Concord, MA office at least 3 days per week. We are open to considering relocation within the US for this position.

In this role, you will:

• 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 Dev Ops, Cloud/Infrastructure, Engineering, Product, and Security to product ionize data products, define SLAs, and align on deployment and monitoring practices—collaborating with but not directly managing Dev Ops 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.

Please apply if you have:

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Experience:

10+ years building data platforms and analytics/ML organizations, with at least 5 years in senior leadership.

• Technical depth:
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.

• Leadership:
Proven track record hiring, scaling, and developing technical teams and partnering across product and engineering organizations.

• Governance & security:
Experience implementing data governance, privacy controls, access management, and compliance processes.

• Communication & business impact:
Able to translate technical tradeoffs into business value and influence senior stakeholders.

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Education:

Degree in CS, engineering, statistics, or related field (or equivalent experience).

Nice-to-haves:

• Experience with large-scale travel or consumer product data.

• Familiarity with MLOps and feature-store implementations.

• Prior experience collaborating with Dev Ops and cloud infrastructure teams to product ionize data/ML workloads.

Benefits and Perks:

• 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 Spring Health
- Company-paid subscription to Head Space
- Company-wide…