AVP responsible for technical underwriting and account management of Middle Market construction programs. Seeking experienced candidates in casualty underwriting with established broker relationships.
About the role
- VP of Data at KAYAK managing data engineering and data science teams to improve analytics and ML solutions. Leading data strategy and platform development to enhance decision-making and business impact.
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.
Requirements
- 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).
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
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