KAYAK
Join to apply for the
VP, Data
role at
KAYAK .
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, Cheapflights and HotelsCombined, 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.
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 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.
Please Apply If You Have
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.
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 DevOps and cloud infrastructure teams to productionize 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 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
The range for this Massachusetts based role is
$220,000 - 260,000.00 .
We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.
Inclusion At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That’s why we’re focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here.
If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.
#J-18808-Ljbffr
VP, Data
role at
KAYAK .
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, Cheapflights and HotelsCombined, 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.
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 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.
Please Apply If You Have
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.
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 DevOps and cloud infrastructure teams to productionize 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 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
The range for this Massachusetts based role is
$220,000 - 260,000.00 .
We offer a competitive base salary and benefits including: health benefits; flexible spending account; retirement benefits; life insurance; paid time off (including PTO, paid sick leave, medical leave, bereavement leave, floating holidays and paid holidays); and parental leave benefits. This role is eligible to be considered for an annual bonus and equity grant.
Inclusion At KAYAK, we want everyone to have the space to grow, share ideas and do great work. That’s why we’re focused on hiring the best talent from all walks of life and experiences, supporting them well and making sure no one feels like they have to fit a mold to belong here.
If you need accommodations during the application or interview process, or on the job, we’re here to support you. Please reach out to your recruiter to request any accommodations.
#J-18808-Ljbffr